Install any skill in seconds. Free to start, no credit card required.
Get Started Free →Use for Electron desktop application implementation, local packaging, and macOS Electron installer builds in GitHub Actions. Covers secure IPC, preload and multi-process architecture, electron-builder/Forge configuration, native modules, signing/notarization setup, DMG/ZIP packaging, mounted packaged smoke, and macOS qualification evidence. For cloud releases, this Skill owns macOS build and qualification; use github-desktop-release for Windows GitHub Actions qualification and for shared artifac
SkillScore96/100
Test results 96
3/3 safety checks passed
79%96%of test cases passed +17 pts
Passed 23 of 24 test cases with the skill, and 19 of 24 without it.
4 fixed19 passed either way1 still failing0 broke
This benchmark measured an earlier version of the skill.
One test taskWrite a GitHub Actions workflow to compile, code-sign, and qualify an Electron Windows NSIS installer on a windows-latest runner, including certificate store configuration and smoke testing.
Adds every file the skill has, pinned so you can update it. No account needed.
pip install "decimalai>=0.15"
decimalai skills add ethanyoq-electron-development
claude --plugin-dir "$(git rev-parse --show-toplevel 2>/dev/null || pwd)/.agents"The same install from Python, for a notebook or a setup script.
pip install "decimalai>=0.15"from decimalai import skillpkg
# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("ethanyoq-electron-development")
if result.exit_code:
raise SystemExit(result.problems)
print("Added. Start Claude Code with the command below.")claude --plugin-dir "$(git rev-parse --show-toplevel 2>/dev/null || pwd)/.agents"Type these in a Claude Code session. No account or API key. It writes the skill and any files it bundles, and asks first when its safety rating isn't Passed.
/plugin marketplace add decimal-labs/decimalai-claude-plugins
/plugin install decimalai@decimalai/decimalai:install ethanyoq-electron-developmentThe plugin needs python3 and curl on your machine.
No Python or account. Claude Code picks it up in its next session.
curl -fsSL --create-dirs -o .claude/skills/ethanyoq-electron-development/SKILL.md https://app.decimal.ai/s/ethanyoq-electron-development/SKILL.md.claude/skills/ethanyoq-electron-development/SKILL.mdThis gets SKILL.md only. The skill's 1 other file is not included.
agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.
pip install "decimalai[claude-agent-sdk]"
decimalai skills add ethanyoq-electron-developmentimport asyncio
from claude_agent_sdk import ClaudeAgentOptions
from decimalai.claude_agent_sdk import agent_config
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")
async def main():
question = "Hello!"
async with support.run(question) as run: # one user message, one run
async for message in run.query(options=ClaudeAgentOptions(max_turns=6)):
print(message)
# In a notebook or async code: await main()
asyncio.run(main())Prefer its own loader? ClaudeAgentOptions(plugins=[skills_plugin()], skills="all") reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.
The same install from Python, for a notebook or a setup script. agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.
pip install "decimalai[claude-agent-sdk]"from decimalai import skillpkg
# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("ethanyoq-electron-development")
if result.exit_code:
raise SystemExit(result.problems)
import asyncio
from claude_agent_sdk import ClaudeAgentOptions
from decimalai.claude_agent_sdk import agent_config
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")
async def main():
question = "Hello!"
async with support.run(question) as run: # one user message, one run
async for message in run.query(options=ClaudeAgentOptions(max_turns=6)):
print(message)
# In a notebook or async code: await main()
asyncio.run(main())Prefer its own loader? ClaudeAgentOptions(plugins=[skills_plugin()], skills="all") reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.
No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.
.agents/skills/ethanyoq-electron-development/SKILL.mdimport asyncio
from pathlib import Path
from claude_agent_sdk import ClaudeAgentOptions, query
skill = Path(".agents/skills/ethanyoq-electron-development/SKILL.md").read_text()
options = ClaudeAgentOptions(system_prompt=f"You are a helpful agent.\n\n{skill}", max_turns=6)
async def main():
async for message in query(prompt="Hello!", options=options):
print(message)
# In a notebook or async code: await main()
asyncio.run(main())This gets SKILL.md only. The skill's 1 other file is not included.
agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.
pip install "decimalai[openai-agents]"
decimalai skills add ethanyoq-electron-developmentfrom agents import Agent, Runner
from decimalai.openai_agents import agent_config
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")
agent = Agent(
name=support.name,
instructions=support.instructions, # your prompt, then the skill list
tools=[*support.tools], # your tools, then load_skill
)
# In a notebook or async code: result = await Runner.run(agent, "Hello!")
result = Runner.run_sync(agent, "Hello!")Using SandboxAgent? capabilities=[Shell(), decimalai.openai_agents.sandbox_skills()] points its own loader at the same folder.
The same install from Python, for a notebook or a setup script. agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.
pip install "decimalai[openai-agents]"from decimalai import skillpkg
# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("ethanyoq-electron-development")
if result.exit_code:
raise SystemExit(result.problems)
from agents import Agent, Runner
from decimalai.openai_agents import agent_config
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")
agent = Agent(
name=support.name,
instructions=support.instructions, # your prompt, then the skill list
tools=[*support.tools], # your tools, then load_skill
)
# In a notebook or async code: result = await Runner.run(agent, "Hello!")
result = Runner.run_sync(agent, "Hello!")Using SandboxAgent? capabilities=[Shell(), decimalai.openai_agents.sandbox_skills()] points its own loader at the same folder.
No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.
.agents/skills/ethanyoq-electron-development/SKILL.mdfrom pathlib import Path
from agents import Agent, Runner
skill = Path(".agents/skills/ethanyoq-electron-development/SKILL.md").read_text()
agent = Agent(name="support", instructions=f"You are a helpful agent.\n\n{skill}")
# In a notebook or async code: result = await Runner.run(agent, "Hello!")
result = Runner.run_sync(agent, "Hello!")This gets SKILL.md only. The skill's 1 other file is not included.
agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.
pip install "decimalai[openai]"
decimalai skills add ethanyoq-electron-developmentimport json
from openai import OpenAI
from decimalai.openai import agent_config
client = OpenAI()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")
def lookup_order(order_id: str) -> str:
return f"Order {order_id} shipped yesterday."
# Your tools, as Chat Completions takes them, and what answers each.
TOOLS = [{"type": "function", "function": {
"name": "lookup_order",
"description": "Look up the status of an order.",
"parameters": {"type": "object", "properties": {"order_id": {"type": "string"}},
"required": ["order_id"]},
}}]
FUNCTIONS = {"lookup_order": lookup_order}
question = "Where is order A1001?"
with support.run(question) as run: # one user message, one run
# run.system is your prompt, then the skill list.
messages = [{"role": "system", "content": run.system}, run.message]
while True:
reply = client.chat.completions.create(
model="gpt-5.4-mini",
messages=messages,
tools=[*TOOLS, *run.tools], # your tools, then load_skill
).choices[0].message
messages.append(reply)
if not reply.tool_calls:
break
for call in reply.tool_calls:
# load_skill is answered by the run; your own tools by FUNCTIONS.
function = FUNCTIONS.get(call.function.name)
messages.append(run.tool_result(call) or {
"role": "tool", "tool_call_id": call.id,
"content": function(**json.loads(call.function.arguments)) if function
else f"There is no tool named {call.function.name!r}.",
})
print(reply.content)
# The Responses API takes run.response_tools instead of run.tools.The same install from Python, for a notebook or a setup script. agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.
pip install "decimalai[openai]"from decimalai import skillpkg
# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("ethanyoq-electron-development")
if result.exit_code:
raise SystemExit(result.problems)
import json
from openai import OpenAI
from decimalai.openai import agent_config
client = OpenAI()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")
def lookup_order(order_id: str) -> str:
return f"Order {order_id} shipped yesterday."
# Your tools, as Chat Completions takes them, and what answers each.
TOOLS = [{"type": "function", "function": {
"name": "lookup_order",
"description": "Look up the status of an order.",
"parameters": {"type": "object", "properties": {"order_id": {"type": "string"}},
"required": ["order_id"]},
}}]
FUNCTIONS = {"lookup_order": lookup_order}
question = "Where is order A1001?"
with support.run(question) as run: # one user message, one run
# run.system is your prompt, then the skill list.
messages = [{"role": "system", "content": run.system}, run.message]
while True:
reply = client.chat.completions.create(
model="gpt-5.4-mini",
messages=messages,
tools=[*TOOLS, *run.tools], # your tools, then load_skill
).choices[0].message
messages.append(reply)
if not reply.tool_calls:
break
for call in reply.tool_calls:
# load_skill is answered by the run; your own tools by FUNCTIONS.
function = FUNCTIONS.get(call.function.name)
messages.append(run.tool_result(call) or {
"role": "tool", "tool_call_id": call.id,
"content": function(**json.loads(call.function.arguments)) if function
else f"There is no tool named {call.function.name!r}.",
})
print(reply.content)
# The Responses API takes run.response_tools instead of run.tools.No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.
.agents/skills/ethanyoq-electron-development/SKILL.mdfrom pathlib import Path
from openai import OpenAI
client = OpenAI()
skill = Path(".agents/skills/ethanyoq-electron-development/SKILL.md").read_text()
reply = client.chat.completions.create(
model="gpt-5.4-mini",
messages=[
{"role": "system", "content": f"You are a helpful agent.\n\n{skill}"},
{"role": "user", "content": "Hello!"},
],
).choices[0].messageThis gets SKILL.md only. The skill's 1 other file is not included.
agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.
pip install "decimalai[anthropic]"
decimalai skills add ethanyoq-electron-developmentimport anthropic
from decimalai.anthropic import agent_config
client = anthropic.Anthropic()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")
question = "Hello!"
with support.run(question) as run: # one user message, one run
answer = client.beta.messages.tool_runner(
model="claude-haiku-5-5",
max_tokens=4096,
system=run.system, # your prompt, then the skill list
tools=[*run.tools], # your tools, then load_skill
messages=[{"role": "user", "content": question}],
).until_done()The same install from Python, for a notebook or a setup script. agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.
pip install "decimalai[anthropic]"from decimalai import skillpkg
# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("ethanyoq-electron-development")
if result.exit_code:
raise SystemExit(result.problems)
import anthropic
from decimalai.anthropic import agent_config
client = anthropic.Anthropic()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")
question = "Hello!"
with support.run(question) as run: # one user message, one run
answer = client.beta.messages.tool_runner(
model="claude-haiku-5-5",
max_tokens=4096,
system=run.system, # your prompt, then the skill list
tools=[*run.tools], # your tools, then load_skill
messages=[{"role": "user", "content": question}],
).until_done()No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.
.agents/skills/ethanyoq-electron-development/SKILL.mdfrom pathlib import Path
import anthropic
client = anthropic.Anthropic()
skill = Path(".agents/skills/ethanyoq-electron-development/SKILL.md").read_text()
reply = client.messages.create(
model="claude-haiku-5-5",
max_tokens=4096,
system=f"You are a helpful agent.\n\n{skill}",
messages=[{"role": "user", "content": "Hello!"}],
)This gets SKILL.md only. The skill's 1 other file is not included.
agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.
pip install "decimalai[google-genai]"
decimalai skills add ethanyoq-electron-developmentfrom google import genai
from google.genai import types
from decimalai.google_genai import agent_config
client = genai.Client()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")
def lookup_order(order_id: str) -> str:
return f"Order {order_id} shipped yesterday."
# Your functions, as declarations for the model, and what answers each.
TOOLS = [{"function_declarations": [{
"name": "lookup_order",
"description": "Look up the status of an order.",
"parameters_json_schema": {"type": "object", "properties": {"order_id": {"type": "string"}},
"required": ["order_id"]},
}]}]
FUNCTIONS = {"lookup_order": lookup_order}
question = "Where is order A1001?"
with support.run(question) as run: # one user message, one run
config = types.GenerateContentConfig(
system_instruction=run.system, # your prompt, then the skill list
tools=[*TOOLS, *run.tool_params], # your functions, then load_skill
)
contents = [{"role": "user", "parts": [{"text": run.message}]}]
while True:
response = client.models.generate_content(
model="gemini-3.5-flash", contents=contents, config=config,
)
if not response.function_calls:
break
contents.append(response.candidates[0].content)
parts = []
for call in response.function_calls:
# load_skill is answered by the run; your own functions by FUNCTIONS.
# A loop of your own rather than automatic function calling, which
# raises KeyError when the model asks for a function you did not pass.
function = FUNCTIONS.get(call.name)
parts.append(run.tool_result(call) or {"function_response": {
"name": call.name, "id": call.id,
"response": {"result": function(**(call.args or {})) if function
else f"There is no function named {call.name!r}."},
}})
contents.append({"role": "user", "parts": parts})
print(response.text)The same install from Python, for a notebook or a setup script. agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.
pip install "decimalai[google-genai]"from decimalai import skillpkg
# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("ethanyoq-electron-development")
if result.exit_code:
raise SystemExit(result.problems)
from google import genai
from google.genai import types
from decimalai.google_genai import agent_config
client = genai.Client()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")
def lookup_order(order_id: str) -> str:
return f"Order {order_id} shipped yesterday."
# Your functions, as declarations for the model, and what answers each.
TOOLS = [{"function_declarations": [{
"name": "lookup_order",
"description": "Look up the status of an order.",
"parameters_json_schema": {"type": "object", "properties": {"order_id": {"type": "string"}},
"required": ["order_id"]},
}]}]
FUNCTIONS = {"lookup_order": lookup_order}
question = "Where is order A1001?"
with support.run(question) as run: # one user message, one run
config = types.GenerateContentConfig(
system_instruction=run.system, # your prompt, then the skill list
tools=[*TOOLS, *run.tool_params], # your functions, then load_skill
)
contents = [{"role": "user", "parts": [{"text": run.message}]}]
while True:
response = client.models.generate_content(
model="gemini-3.5-flash", contents=contents, config=config,
)
if not response.function_calls:
break
contents.append(response.candidates[0].content)
parts = []
for call in response.function_calls:
# load_skill is answered by the run; your own functions by FUNCTIONS.
# A loop of your own rather than automatic function calling, which
# raises KeyError when the model asks for a function you did not pass.
function = FUNCTIONS.get(call.name)
parts.append(run.tool_result(call) or {"function_response": {
"name": call.name, "id": call.id,
"response": {"result": function(**(call.args or {})) if function
else f"There is no function named {call.name!r}."},
}})
contents.append({"role": "user", "parts": parts})
print(response.text)No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.
.agents/skills/ethanyoq-electron-development/SKILL.mdfrom pathlib import Path
from google import genai
from google.genai import types
client = genai.Client()
skill = Path(".agents/skills/ethanyoq-electron-development/SKILL.md").read_text()
response = client.models.generate_content(
model="gemini-3.5-flash",
contents="Hello!",
config=types.GenerateContentConfig(system_instruction=f"You are a helpful agent.\n\n{skill}"),
)This gets SKILL.md only. The skill's 1 other file is not included.
agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.
pip install "decimalai[langchain]" langchain-openai
decimalai skills add ethanyoq-electron-developmentfrom langchain.agents import create_agent
from decimalai.langchain import agent_config
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")
agent = create_agent(
"openai:gpt-5.4-mini",
tools=[], # your tools; the middleware adds load_skill
middleware=[support.middleware], # your prompt, the skill list and load_skill
)
result = agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})The same install from Python, for a notebook or a setup script. agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.
pip install "decimalai[langchain]" langchain-openaifrom decimalai import skillpkg
# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("ethanyoq-electron-development")
if result.exit_code:
raise SystemExit(result.problems)
from langchain.agents import create_agent
from decimalai.langchain import agent_config
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")
agent = create_agent(
"openai:gpt-5.4-mini",
tools=[], # your tools; the middleware adds load_skill
middleware=[support.middleware], # your prompt, the skill list and load_skill
)
result = agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.
.agents/skills/ethanyoq-electron-development/SKILL.mdfrom pathlib import Path
from langchain.agents import create_agent
skill = Path(".agents/skills/ethanyoq-electron-development/SKILL.md").read_text()
agent = create_agent("openai:gpt-5.4-mini", tools=[], system_prompt=f"You are a helpful agent.\n\n{skill}")
result = agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})This gets SKILL.md only. The skill's 1 other file is not included.
CrewAI's own skill loader reads the installed folder. No DecimalAI account needed.
pip install "decimalai>=0.16" "crewai>=1.15.27"
decimalai skills add ethanyoq-electron-developmentimport decimalai.crewai
from crewai import Agent, Crew, Task
agent = Agent(
role="Support", goal="Help the customer", backstory="A support agent.",
llm=llm, # your own CrewAI LLM
skills=decimalai.crewai.skills(), # the installed folder
tools=decimalai.crewai.skill_tools(), # reads a skill's files, runs its scripts
)
task = Task(description="Hello!", expected_output="an answer", agent=agent)
Crew(agents=[agent], tasks=[task]).kickoff()The same install from Python, for a notebook or a setup script. CrewAI's own skill loader reads the installed folder. No DecimalAI account needed.
pip install "decimalai>=0.16" "crewai>=1.15.27"from decimalai import skillpkg
# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("ethanyoq-electron-development")
if result.exit_code:
raise SystemExit(result.problems)
import decimalai.crewai
from crewai import Agent, Crew, Task
agent = Agent(
role="Support", goal="Help the customer", backstory="A support agent.",
llm=llm, # your own CrewAI LLM
skills=decimalai.crewai.skills(), # the installed folder
tools=decimalai.crewai.skill_tools(), # reads a skill's files, runs its scripts
)
task = Task(description="Hello!", expected_output="an answer", agent=agent)
Crew(agents=[agent], tasks=[task]).kickoff()No DecimalAI package. CrewAI's own loader reads the folder, and nothing pins or updates it.
.agents/skills/ethanyoq-electron-development/SKILL.mdfrom pathlib import Path
from crewai import Agent, Crew, Task
agent = Agent(
role="Support", goal="Help the customer", backstory="A support agent.",
llm=llm, # your own CrewAI LLM
skills=[Path(".agents/skills")],
)
task = Task(description="Hello!", expected_output="an answer", agent=agent)
Crew(agents=[agent], tasks=[task]).kickoff()This gets SKILL.md only. The skill's 1 other file is not included.
agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.
pip install "decimalai[adk]"
decimalai skills add ethanyoq-electron-developmentfrom decimalai.adk import DecimalAIPlugin, agent_config
from google.adk.agents import LlmAgent
from google.adk.apps import App
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")
agent = LlmAgent(
name="support", # ADK needs a Python identifier
model="gemini-3.5-flash",
instruction=support.instruction, # your prompt, then the skill list
tools=[*support.tools], # your tools, then load_skill
)
# DecimalAIPlugin makes each invocation of runners built from this App one trace.
app = App(name="support", root_agent=agent, plugins=[DecimalAIPlugin()])Prefer ADK's own loader? SkillToolset(skills=decimalai.adk.skills(), ...) reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.
The same install from Python, for a notebook or a setup script. agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.
pip install "decimalai[adk]"from decimalai import skillpkg
# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("ethanyoq-electron-development")
if result.exit_code:
raise SystemExit(result.problems)
from decimalai.adk import DecimalAIPlugin, agent_config
from google.adk.agents import LlmAgent
from google.adk.apps import App
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")
agent = LlmAgent(
name="support", # ADK needs a Python identifier
model="gemini-3.5-flash",
instruction=support.instruction, # your prompt, then the skill list
tools=[*support.tools], # your tools, then load_skill
)
# DecimalAIPlugin makes each invocation of runners built from this App one trace.
app = App(name="support", root_agent=agent, plugins=[DecimalAIPlugin()])Prefer ADK's own loader? SkillToolset(skills=decimalai.adk.skills(), ...) reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.
No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.
.agents/skills/ethanyoq-electron-development/SKILL.mdfrom pathlib import Path
from google.adk.agents import LlmAgent
skill = Path(".agents/skills/ethanyoq-electron-development/SKILL.md").read_text()
agent = LlmAgent(
name="support",
model="gemini-3.5-flash",
instruction=lambda context: f"You are a helpful agent.\n\n{skill}",
)This gets SKILL.md only. The skill's 1 other file is not included.
agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.
pip install "decimalai[pydantic-ai]"
decimalai skills add ethanyoq-electron-developmentfrom pydantic_ai import Agent
from decimalai.pydantic_ai import agent_config
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")
agent = Agent(
"openai:gpt-4o-mini",
name=support.name,
tools=[], # your tools; the capability adds load_skill
capabilities=[support], # your prompt, the skill list and load_skill
)
# In a notebook or async code: result = await agent.run("Hello!")
result = agent.run_sync("Hello!")On the Pydantic AI harness, decimalai.pydantic_ai_harness.skills(project) uses its own loader instead.
The same install from Python, for a notebook or a setup script. agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.
pip install "decimalai[pydantic-ai]"from decimalai import skillpkg
# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("ethanyoq-electron-development")
if result.exit_code:
raise SystemExit(result.problems)
from pydantic_ai import Agent
from decimalai.pydantic_ai import agent_config
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")
agent = Agent(
"openai:gpt-4o-mini",
name=support.name,
tools=[], # your tools; the capability adds load_skill
capabilities=[support], # your prompt, the skill list and load_skill
)
# In a notebook or async code: result = await agent.run("Hello!")
result = agent.run_sync("Hello!")On the Pydantic AI harness, decimalai.pydantic_ai_harness.skills(project) uses its own loader instead.
No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.
.agents/skills/ethanyoq-electron-development/SKILL.mdfrom pathlib import Path
from pydantic_ai import Agent
skill = Path(".agents/skills/ethanyoq-electron-development/SKILL.md").read_text()
agent = Agent("openai:gpt-4o-mini", instructions=f"You are a helpful agent.\n\n{skill}")
# In a notebook or async code: result = await agent.run("Hello!")
result = agent.run_sync("Hello!")This gets SKILL.md only. The skill's 1 other file is not included.
Deep Agents' own skill loader reads the installed folder. No DecimalAI account needed.
pip install "decimalai>=0.16" deepagents
decimalai skills add ethanyoq-electron-developmentimport decimalai.deepagents
from deepagents import create_deep_agent
agent = create_deep_agent(model=model, **decimalai.deepagents.skills())
agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})The default backend reads files but has no shell. To run a skill's scripts, pass skills(backend=LocalShellBackend(...)).
The same install from Python, for a notebook or a setup script. Deep Agents' own skill loader reads the installed folder. No DecimalAI account needed.
pip install "decimalai>=0.16" deepagentsfrom decimalai import skillpkg
# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("ethanyoq-electron-development")
if result.exit_code:
raise SystemExit(result.problems)
import decimalai.deepagents
from deepagents import create_deep_agent
agent = create_deep_agent(model=model, **decimalai.deepagents.skills())
agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})The default backend reads files but has no shell. To run a skill's scripts, pass skills(backend=LocalShellBackend(...)).
No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.
.agents/skills/ethanyoq-electron-development/SKILL.mdfrom pathlib import Path
from deepagents import create_deep_agent
skill = Path(".agents/skills/ethanyoq-electron-development/SKILL.md").read_text()
agent = create_deep_agent(model=model, system_prompt=f"You are a helpful agent.\n\n{skill}")
agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})This gets SKILL.md only. The skill's 1 other file is not included.
Its own skill loader reads the installed folder. No DecimalAI account needed.
pip install "decimalai>=0.16" agent-framework
decimalai skills add ethanyoq-electron-developmentimport asyncio
from agent_framework import Agent
from decimalai.agent_framework import skills
agent = Agent(client=client, instructions="You are a helpful agent.", context_providers=[skills()])
asyncio.run(agent.run("Hello!"))It caches skills by default, so restart the process after decimalai skills update.
The same install from Python, for a notebook or a setup script. Its own skill loader reads the installed folder. No DecimalAI account needed.
pip install "decimalai>=0.16" agent-frameworkfrom decimalai import skillpkg
# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("ethanyoq-electron-development")
if result.exit_code:
raise SystemExit(result.problems)
import asyncio
from agent_framework import Agent
from decimalai.agent_framework import skills
agent = Agent(client=client, instructions="You are a helpful agent.", context_providers=[skills()])
asyncio.run(agent.run("Hello!"))It caches skills by default, so restart the process after decimalai skills update.
No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.
.agents/skills/ethanyoq-electron-development/SKILL.mdimport asyncio
from pathlib import Path
from agent_framework import Agent
skill = Path(".agents/skills/ethanyoq-electron-development/SKILL.md").read_text()
agent = Agent(client=client, instructions=f"You are a helpful agent.\n\n{skill}")
asyncio.run(agent.run("Hello!"))This gets SKILL.md only. The skill's 1 other file is not included.
Strands' own skill loader reads the installed folder. No DecimalAI account needed.
pip install "decimalai>=0.16" strands-agents
decimalai skills add ethanyoq-electron-developmentfrom decimalai.strands import skills
from strands import Agent
from strands.vended_tools import file_editor, shell
agent = Agent(
model=model, # always pass one: the default is Amazon Bedrock
system_prompt="You are a helpful agent.",
tools=[file_editor, shell],
plugins=[skills()],
)
agent("Hello!")Strands loads an agent's skills once, so build the agent again after decimalai skills update.
The same install from Python, for a notebook or a setup script. Strands' own skill loader reads the installed folder. No DecimalAI account needed.
pip install "decimalai>=0.16" strands-agentsfrom decimalai import skillpkg
# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("ethanyoq-electron-development")
if result.exit_code:
raise SystemExit(result.problems)
from decimalai.strands import skills
from strands import Agent
from strands.vended_tools import file_editor, shell
agent = Agent(
model=model, # always pass one: the default is Amazon Bedrock
system_prompt="You are a helpful agent.",
tools=[file_editor, shell],
plugins=[skills()],
)
agent("Hello!")Strands loads an agent's skills once, so build the agent again after decimalai skills update.
No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.
.agents/skills/ethanyoq-electron-development/SKILL.mdfrom pathlib import Path
from strands import Agent
skill = Path(".agents/skills/ethanyoq-electron-development/SKILL.md").read_text()
agent = Agent(model=model, system_prompt=f"You are a helpful agent.\n\n{skill}")
agent("Hello!")This gets SKILL.md only. The skill's 1 other file is not included.
Adds every file the skill has, pinned so you can update it. Cursor, Copilot, Cline and Warp read this folder by themselves.
pip install "decimalai>=0.15"
decimalai skills add ethanyoq-electron-developmentNo Python or account. Cursor, Copilot, Cline and Warp read this folder by themselves.
curl -fsSL --create-dirs -o .agents/skills/ethanyoq-electron-development/SKILL.md https://app.decimal.ai/s/ethanyoq-electron-development/SKILL.md.agents/skills/ethanyoq-electron-development/SKILL.mdThis gets SKILL.md only. The skill's 1 other file is not included.
Give its text to your model as instructions. No account or package needed.
This gets SKILL.md only. The skill's 1 other file is not included.
Raw files: /s/ethanyoq-electron-development/SKILL.md · /s/ethanyoq-electron-development.json
Fetch the file and give its text to your model as instructions. No account or package needed.
curl -fsSL https://app.decimal.ai/s/ethanyoq-electron-development/SKILL.mdcurl -fsSL https://app.decimal.ai/s/ethanyoq-electron-development.jsonThis gets SKILL.md only. The skill's 1 other file is not included.
You don't need a DecimalAI account.
Saved prompts and skills, pinned versions, and traces of this skill in your runs. DecimalAI does not run your agent.
Claude Code reads files from your project, so DecimalAI config does not apply there.
On Claude Agent SDK: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.
On OpenAI Agents: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.
On OpenAI SDK: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.
On Anthropic: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.
On Gemini API: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.
On LangChain: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.
On CrewAI: set DECIMAL_API_KEY and add decimalai.init(crewai=True) to record runs and skill use. The skill version stays in your repo.
On Google ADK: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.
On Pydantic AI: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.
On Deep Agents: set DECIMAL_API_KEY and add decimalai.init(langchain=True) to record runs and skill use. The skill version stays in your repo.
On Microsoft Agent Framework: set DECIMAL_API_KEY and add decimalai.init(otel=True, agent_name="support") to record runs and skill use. The skill version stays in your repo.
On Strands: set DECIMAL_API_KEY and add decimalai.init(otel=True, agent_name="support") to record runs and skill use. The skill version stays in your repo.
Editors read files from your project, so DecimalAI config does not apply there.
Anywhere else: record a use with decimalai.log_skill_activation() inside a trace.
You are a senior Electron engineer specializing in secure, production-grade desktop application architecture. You have deep expertise in Electron's multi-process model, IPC security patterns, native OS integration, application packaging, code signing, and auto-update strategies.
react-patterns, nextjs-best-practicestauri-development if availablechrome-extension-developernodejs-backend-patternsreact-native-architecture or flutter-expertgithub-desktop-releasegithub-desktop-releasecontextIsolation: true, nodeIntegration: false, sandbox: true.For any macOS GitHub Actions build or qualification, read macOS cloud qualification completely before editing a workflow or dispatching a run. It defines the risk-based canary decision, package-like preflight, retry stop conditions, and same-SHA evidence contract.
preflight -> cloud gate -> package -> mounted smoke -> evidence. A SHA change invalidates prior qualification, while a publication-tool failure after qualification does not.github-desktop-release without rebuilding when promotion or publication is requested.github-desktop-release.github-desktop-release owns Windows build/qualification plus shared promotion and authoritative readback.Recommended project layout:
my-electron-app/
├── package.json
├── electron-builder.yml # or forge.config.ts
├── src/
│ ├── main/
│ │ ├── main.ts # Main process entry
│ │ ├── ipc-handlers.ts # IPC channel handlers
│ │ ├── menu.ts # Application menu
│ │ ├── tray.ts # System tray
│ │ └── updater.ts # Auto-update logic
│ ├── preload/
│ │ └── preload.ts # Bridge between main ↔ renderer
│ ├── renderer/
│ │ ├── index.html # Entry HTML
│ │ ├── App.tsx # UI root (React/Vue/Svelte/vanilla)
│ │ ├── components/
│ │ └── styles/
│ └── shared/
│ ├── constants.ts # IPC channel names, shared enums
│ └── types.ts # Shared TypeScript interfaces
├── resources/
│ ├── icon.png # App icon (1024x1024)
│ └── entitlements.mac.plist # macOS entitlements
├── tests/
│ ├── unit/
│ └── e2e/
└── tsconfig.json
Key architectural principles:
shared/ directory contains only types, constants, and enums — never executable code imported across process boundaries.Electron runs multiple processes that are isolated by design:
| Process | Role | Node.js Access | DOM Access |
|---|---|---|---|
| Main | App lifecycle, windows, native APIs, IPC hub | ✅ Full | ❌ None |
| Renderer | UI rendering, user interaction | ❌ None (by default) | ✅ Full |
| Preload | Secure bridge between main and renderer | ✅ Limited (via contextBridge) | ✅ Before page loads |
| Utility | CPU-intensive tasks, background work | ✅ Full | ❌ None |
BrowserWindow with security defaults (MANDATORY):
import { BrowserWindow } from 'electron';
import path from 'node:path';
function createMainWindow(): BrowserWindow {
const win = new BrowserWindow({
width: 1200,
height: 800,
webPreferences: {
// ── SECURITY DEFAULTS (NEVER CHANGE THESE) ──
contextIsolation: true, // Isolates preload from renderer context
nodeIntegration: false, // Prevents require() in renderer
sandbox: true, // OS-level process sandboxing
// ── PRELOAD SCRIPT ──
preload: path.join(__dirname, '../preload/preload.js'),
// ── ADDITIONAL HARDENING ──
webSecurity: true, // Enforce same-origin policy
allowRunningInsecureContent: false,
experimentalFeatures: false,
},
});
// Content Security Policy
win.webContents.session.webRequest.onHeadersReceived((details, callback) => {
callback({
responseHeaders: {
...details.responseHeaders,
'Content-Security-Policy': [
"default-src 'self'; script-src 'self'; style-src 'self' 'unsafe-inline'; img-src 'self' data:; font-src 'self' data:;"
],
},
});
});
return win;
}
⚠️ CRITICAL: Never set
nodeIntegration: trueorcontextIsolation: falsein production. These settings expose the renderer to remote code execution (RCE) attacks through XSS vulnerabilities.
IPC is the only safe channel for communication between main and renderer processes. All IPC must flow through the preload script.
Preload script (contextBridge + explicit whitelisting):
// src/preload/preload.ts
import { contextBridge, ipcRenderer } from 'electron';
// ── WHITELIST: Only expose specific channels ──
const ALLOWED_SEND_CHANNELS = [
'file:save',
'file:open',
'app:get-version',
'dialog:show-open',
] as const;
const ALLOWED_RECEIVE_CHANNELS = [
'file:saved',
'file:opened',
'app:version',
'update:available',
'update:progress',
'update:downloaded',
'update:error',
] as const;
type SendChannel = typeof ALLOWED_SEND_CHANNELS[number];
type ReceiveChannel = typeof ALLOWED_RECEIVE_CHANNELS[number];
contextBridge.exposeInMainWorld('electronAPI', {
// One-way: renderer → main
send: (channel: SendChannel, ...args: unknown[]) => {
if (ALLOWED_SEND_CHANNELS.includes(channel)) {
ipcRenderer.send(channel, ...args);
}
},
// Two-way: renderer → main → renderer (request/response)
invoke: (channel: SendChannel, ...args: unknown[]) => {
if (ALLOWED_SEND_CHANNELS.includes(channel)) {
return ipcRenderer.invoke(channel, ...args);
}
return Promise.reject(new Error(`Channel "${channel}" is not allowed`));
},
// One-way: main → renderer (subscriptions)
on: (channel: ReceiveChannel, callback: (...args: unknown[]) => void) => {
if (ALLOWED_RECEIVE_CHANNELS.includes(channel)) {
const listener = (_event: Electron.IpcRendererEvent, ...args: unknown[]) => callback(...args);
ipcRenderer.on(channel, listener);
return () => ipcRenderer.removeListener(channel, listener);
}
return () => {};
},
});
Main process IPC handlers:
// src/main/ipc-handlers.ts
import { ipcMain, dialog, BrowserWindow } from 'electron';
import { readFile, writeFile } from 'node:fs/promises';
export function registerIpcHandlers(): void {
// invoke() pattern: returns a value to the renderer
ipcMain.handle('file:open', async () => {
const { canceled, filePaths } = await dialog.showOpenDialog({
properties: ['openFile'],
filters: [{ name: 'Text Files', extensions: ['txt', 'md'] }],
});
if (canceled || filePaths.length === 0) return null;
const content = await readFile(filePaths[0], 'utf-8');
return { path: filePaths[0], content };
});
ipcMain.handle('file:save', async (_event, filePath: string, content: string) => {
// VALIDATE INPUTS — never trust renderer data blindly
if (typeof filePath !== 'string' || typeof content !== 'string') {
throw new Error('Invalid arguments');
}
await writeFile(filePath, content, 'utf-8');
return { success: true };
});
ipcMain.handle('app:get-version', () => {
return process.versions.electron;
});
}
Renderer usage (type-safe):
// src/renderer/App.tsx — or any renderer code
// The electronAPI is globally available via contextBridge
declare global {
interface Window {
electronAPI: {
send: (channel: string, ...args: unknown[]) => void;
invoke: (channel: string, ...args: unknown[]) => Promise<unknown>;
on: (channel: string, callback: (...args: unknown[]) => void) => () => void;
};
}
}
// Open a file via IPC
async function openFile() {
const result = await window.electronAPI.invoke('file:open');
if (result) {
console.log('File content:', result.content);
}
}
// Subscribe to updates from main process
const unsubscribe = window.electronAPI.on('update:available', (version) => {
console.log('Update available:', version);
});
// Cleanup on unmount
// unsubscribe();
IPC Pattern Summary:
| Pattern | Method | Use Case |
|---|---|---|
| Fire-and-forget | ipcRenderer.send() → ipcMain.on() | Logging, telemetry, non-critical notifications |
| Request/Response | ipcRenderer.invoke() → ipcMain.handle() | File operations, dialogs, data queries |
| Push to renderer | webContents.send() → ipcRenderer.on() | Progress updates, download status, auto-update |
⚠️ Never use
ipcRenderer.sendSync()in production — it blocks the renderer's event loop and freezes the UI.
── MANDATORY ──
[ ] contextIsolation: true
[ ] nodeIntegration: false
[ ] sandbox: true
[ ] webSecurity: true
[ ] allowRunningInsecureContent: false
── IPC ──
[ ] Preload uses contextBridge with explicit channel whitelisting
[ ] All IPC inputs are validated in the main process
[ ] No raw ipcRenderer exposed to renderer context
[ ] No use of ipcRenderer.sendSync()
── CONTENT ──
[ ] Content Security Policy (CSP) headers set on all windows
[ ] No use of eval(), new Function(), or innerHTML with untrusted data <!-- security-allowlist: defensive Electron checklist -->
[ ] Remote content (if any) loaded in separate BrowserView with restricted permissions
[ ] protocol.registerSchemesAsPrivileged() uses minimal permissions
── NAVIGATION ──
[ ] webContents 'will-navigate' event intercepted — block unexpected URLs
[ ] webContents 'new-window' event intercepted — prevent pop-up exploitation
[ ] No shell.openExternal() with unsanitized URLs
── PACKAGING ──
[ ] ASAR archive enabled (protects source from casual inspection)
[ ] No sensitive credentials or API keys bundled in the app
[ ] Code signing configured for both Windows and macOS
[ ] Auto-update uses HTTPS and verifies signatures
Preventing Navigation Hijacking:
// In main process, after creating a BrowserWindow
win.webContents.on('will-navigate', (event, url) => {
const parsedUrl = new URL(url);
// Only allow navigation within your app
if (parsedUrl.origin !== 'http://localhost:5173') { // dev server
event.preventDefault();
console.warn(`Blocked navigation to: ${url}`);
}
});
// Prevent new windows from being opened
win.webContents.setWindowOpenHandler(({ url }) => {
try {
const externalUrl = new URL(url);
const allowedHosts = new Set(['example.com', 'docs.example.com']);
// Never forward raw renderer-controlled URLs to the OS.
// Unvalidated links can enable phishing or abuse platform URL handlers.
if (externalUrl.protocol === 'https:' && allowedHosts.has(externalUrl.hostname)) {
require('electron').shell.openExternal(externalUrl.toString());
} else {
console.warn(`Blocked external URL: ${url}`);
}
} catch {
console.warn(`Rejected invalid external URL: ${url}`);
}
return { action: 'deny' }; // Block all new Electron windows
});
Custom Protocol Registration (secure):
import { protocol } from 'electron';
import path from 'node:path';
import { readFile } from 'node:fs/promises';
import { URL } from 'node:url';
// Register a custom protocol for loading local assets securely
protocol.registerSchemesAsPrivileged([
{ scheme: 'app', privileges: { standard: true, secure: true, supportFetchAPI: true } },
]);
app.whenReady().then(() => {
protocol.handle('app', async (request) => {
const url = new URL(request.url);
const baseDir = path.resolve(__dirname, '../renderer');
// Strip the leading slash so path.resolve keeps baseDir as the root.
const relativePath = path.normalize(decodeURIComponent(url.pathname).replace(/^[/\\]+/, ''));
const filePath = path.resolve(baseDir, relativePath);
if (!filePath.startsWith(baseDir)) {
return new Response('Forbidden', { status: 403 });
}
const data = await readFile(filePath);
return new Response(data);
});
});
Strategy 1: Main process as single source of truth (recommended for most apps)
// src/main/store.ts
import { app } from 'electron';
import { readFileSync, writeFileSync } from 'node:fs';
import path from 'node:path';
interface AppState {
theme: 'light' | 'dark';
recentFiles: string[];
windowBounds: { x: number; y: number; width: number; height: number };
}
const DEFAULTS: AppState = {
theme: 'light',
recentFiles: [],
windowBounds: { x: 0, y: 0, width: 1200, height: 800 },
};
class Store {
private data: AppState;
private filePath: string;
constructor() {
this.filePath = path.join(app.getPath('userData'), 'settings.json');
this.data = this.load();
}
private load(): AppState {
try {
const raw = readFileSync(this.filePath, 'utf-8');
return { ...DEFAULTS, ...JSON.parse(raw) };
} catch {
return { ...DEFAULTS };
}
}
get<K extends keyof AppState>(key: K): AppState[K] {
return this.data[key];
}
set<K extends keyof AppState>(key: K, value: AppState[K]): void {
this.data[key] = value;
writeFileSync(this.filePath, JSON.stringify(this.data, null, 2));
}
}
export const store = new Store();
Strategy 2: electron-store (lightweight persistent storage)
import Store from 'electron-store';
const store = new Store({
schema: {
theme: { type: 'string', enum: ['light', 'dark'], default: 'light' },
windowBounds: {
type: 'object',
properties: {
width: { type: 'number', default: 1200 },
height: { type: 'number', default: 800 },
},
},
},
});
// Usage
store.set('theme', 'dark');
console.log(store.get('theme')); // 'dark'
Multi-window state synchronization:
// Main process: broadcast state changes to all windows
import { BrowserWindow } from 'electron';
function broadcastToAllWindows(channel: string, data: unknown): void {
for (const win of BrowserWindow.getAllWindows()) {
if (!win.isDestroyed()) {
win.webContents.send(channel, data);
}
}
}
// When theme changes:
ipcMain.handle('settings:set-theme', (_event, theme: 'light' | 'dark') => {
store.set('theme', theme);
broadcastToAllWindows('settings:theme-changed', theme);
});
# electron-builder.yml
appId: com.mycompany.myapp
productName: My App
directories:
output: dist
buildResources: resources
files:
- "out/**/*" # compiled main + preload
- "renderer/**/*" # built renderer assets
- "package.json"
asar: true
compression: maximum
# ── macOS ──
mac:
category: public.app-category.developer-tools
hardenedRuntime: true
gatekeeperAssess: false
entitlements: resources/entitlements.mac.plist
entitlementsInherit: resources/entitlements.mac.plist
target:
- target: dmg
arch: [x64, arm64]
- target: zip
arch: [x64, arm64]
# ── Windows ──
win:
target:
- target: nsis
arch: [x64, arm64]
signingHashAlgorithms: [sha256]
nsis:
oneClick: false
allowToChangeInstallationDirectory: true
perMachine: false
# ── Linux ──
linux:
target:
- target: AppImage
- target: deb
category: Development
maintainer: [email protected]
# ── Auto Update ──
publish:
provider: github
owner: your-org
repo: your-repo
# macOS: requires Apple Developer certificate
# Set environment variables before building:
export CSC_LINK="path/to/Developer_ID_Application.p12"
read -rsp "macOS certificate password: " CSC_KEY_PASSWORD
echo
export CSC_KEY_PASSWORD
# Windows: requires EV or standard code signing certificate
# Set environment variables:
export WIN_CSC_LINK="path/to/code-signing.pfx"
read -rsp "Windows certificate password: " WIN_CSC_KEY_PASSWORD
echo
export WIN_CSC_KEY_PASSWORD
# Build signed app
npx electron-builder --mac --win --publish never
// src/main/updater.ts
import { autoUpdater } from 'electron-updater';
import { BrowserWindow } from 'electron';
import log from 'electron-log';
export function setupAutoUpdater(mainWindow: BrowserWindow): void {
autoUpdater.logger = log;
autoUpdater.autoDownload = false; // Let user decide
autoUpdater.autoInstallOnAppQuit = true;
autoUpdater.on('update-available', (info) => {
mainWindow.webContents.send('update:available', {
version: info.version,
releaseNotes: info.releaseNotes,
});
});
autoUpdater.on('download-progress', (progress) => {
mainWindow.webContents.send('update:progress', {
percent: Math.round(progress.percent),
bytesPerSecond: progress.bytesPerSecond,
});
});
autoUpdater.on('update-downloaded', () => {
mainWindow.webContents.send('update:downloaded');
});
autoUpdater.on('error', (err) => {
log.error('Update error:', err);
mainWindow.webContents.send('update:error', err.message);
});
// Check for updates every 4 hours
setInterval(() => autoUpdater.checkForUpdates(), 4 * 60 * 60 * 1000);
autoUpdater.checkForUpdates();
}
// Expose to renderer via IPC
ipcMain.handle('update:download', () => autoUpdater.downloadUpdate());
ipcMain.handle('update:install', () => autoUpdater.quitAndInstall());
asar: true to package sources into a single archivecompression: maximum in electron-builder config"files" pattern should only include compiled outputnode_modules shipped with the app — use electron-builder's files exclude patterns@electron/rebuild for native modules instead of shipping prebuilt for all platformsnode_modules — only production dependencies// package.json scripts
{
"scripts": {
"dev": "concurrently \"npm run dev:renderer\" \"npm run dev:main\"",
"dev:renderer": "vite",
"dev:main": "electron-vite dev",
"build": "electron-vite build",
"start": "electron ."
}
}
Recommended toolchain:
// .vscode/launch.json
{
"version": "0.2.0",
"configurations": [
{
"name": "Debug Main Process",
"type": "node",
"request": "launch",
"cwd": "${workspaceFolder}",
"runtimeExecutable": "${workspaceFolder}/node_modules/.bin/electron",
"args": [".", "--remote-debugging-port=9223"],
"sourceMaps": true,
"outFiles": ["${workspaceFolder}/out/**/*.js"],
"env": {
"NODE_ENV": "development"
}
}
]
}
Other debugging techniques:
// Enable DevTools only in development
if (process.env.NODE_ENV === 'development') {
win.webContents.openDevTools({ mode: 'detach' });
}
// Inspect specific renderer processes from command line:
// electron . --inspect=5858 --remote-debugging-port=9223
Unit testing (Vitest / Jest):
// tests/unit/store.test.ts
import { describe, it, expect, vi } from 'vitest';
// Mock Electron modules for unit tests
vi.mock('electron', () => ({
app: { getPath: () => '/tmp/test' },
}));
describe('Store', () => {
it('returns default values for missing keys', () => {
// Test store logic without Electron runtime
});
});
E2E testing (Playwright + Electron):
// tests/e2e/app.spec.ts
import { test, expect, _electron as electron } from '@playwright/test';
test('app launches and shows main window', async () => {
const app = await electron.launch({ args: ['.'] });
const window = await app.firstWindow();
// Wait for the app to fully load
await window.waitForLoadState('domcontentloaded');
const title = await window.title();
expect(title).toBe('My App');
// Take a screenshot for visual regression
await window.screenshot({ path: 'tests/screenshots/main-window.png' });
await app.close();
});
test('file open dialog works via IPC', async () => {
const app = await electron.launch({ args: ['.'] });
const window = await app.firstWindow();
// Test IPC by evaluating in the renderer context
const version = await window.evaluate(async () => {
return window.electronAPI.invoke('app:get-version');
});
expect(version).toBeTruthy();
await app.close();
});
Playwright config for Electron:
// playwright.config.ts
import { defineConfig } from '@playwright/test';
export default defineConfig({
testDir: './tests/e2e',
timeout: 30_000,
retries: 1,
use: {
trace: 'on-first-retry',
screenshot: 'only-on-failure',
},
});
// src/main/main.ts
import { app, BrowserWindow } from 'electron';
import { registerIpcHandlers } from './ipc-handlers';
import { setupAutoUpdater } from './updater';
import { store } from './store';
let mainWindow: BrowserWindow | null = null;
app.whenReady().then(() => {
registerIpcHandlers();
mainWindow = createMainWindow();
// Restore window bounds
const bounds = store.get('windowBounds');
if (bounds) mainWindow.setBounds(bounds);
// Save window bounds on close
mainWindow.on('close', () => {
if (mainWindow) store.set('windowBounds', mainWindow.getBounds());
});
// Auto-update (only in production)
if (app.isPackaged) {
setupAutoUpdater(mainWindow);
}
// macOS: re-create window when dock icon is clicked
app.on('activate', () => {
if (BrowserWindow.getAllWindows().length === 0) {
mainWindow = createMainWindow();
}
});
});
// Quit when all windows are closed (except on macOS)
app.on('window-all-closed', () => {
if (process.platform !== 'darwin') {
app.quit();
}
});
// Security: prevent additional renderers from being created
app.on('web-contents-created', (_event, contents) => {
contents.on('will-attach-webview', (event) => {
event.preventDefault(); // Block <webview> tags
});
});
Symptoms: App starts but renderer shows a blank/white page
Root causes: Incorrect loadFile/loadURL path, build output missing, CSP blocking scripts
Solutions: Verify the path passed to win.loadFile() or win.loadURL() exists relative to the packaged app. Check DevTools console for CSP violations. In development, ensure the Vite/webpack dev server is running before Electron starts.
Symptoms: invoke() hangs or send() has no effect
Root causes: Channel name mismatch, preload not loaded, contextBridge not exposing the channel
Solutions: Verify channel names match exactly between preload, main, and renderer. Confirm preload path is correct in webPreferences. Check that the channel is in the whitelist array.
Symptoms: App crashes on startup with MODULE_NOT_FOUND or invalid ELF header
Root causes: Native module compiled for wrong Electron/Node ABI version
Solutions: Run npx @electron/rebuild after installing native modules. Ensure electron-builder is configured with the correct Electron version for rebuilding.
Symptoms: autoUpdater.checkForUpdates() returns nothing or errors
Root causes: Missing publish config, unsigned app (macOS), incorrect GitHub release assets
Solutions: Verify publish section in electron-builder.yml. On macOS, app must be code-signed and notarized. Ensure the GitHub release contains the -mac.zip and latest-mac.yml (or equivalent Windows files).
Symptoms: Built application is excessively large
Root causes: Dev dependencies bundled, no tree-shaking, duplicate Electron binaries
Solutions: Audit files patterns in electron-builder.yml. Use a bundler (Vite/esbuild) for the renderer. Check that devDependencies are not in dependencies. Use compression: maximum.
contextIsolation: true and nodeIntegration: falsecontextBridge in preload with an explicit channel whitelistipcMain.handle() / ipcRenderer.invoke() for request/response IPCshell.openExternal()@playwright/test's Electron support for E2E testsapp.getPath('userData'), never in the app directorynodeIntegration: true — this is the #1 Electron security vulnerabilityipcRenderer or require() to the renderer contextremote module (deprecated and insecure)ipcRenderer.sendSync() — it blocks the renderer event loopwebSecurity in productionelectron-updater has limited Linux support--inspect flag — there is no integrated debugger in Electron itselfgithub-desktop-release — For Windows GitHub Actions qualification and for promotion, publication, resume, or authoritative readback of already-qualified desktop artifactschrome-extension-developer — When building browser extensions instead of desktop apps (shares multi-process model concepts)docker-expert — When containerizing Electron's build pipeline or CI/CDreact-patterns / react-best-practices — When using React for the renderer UItypescript-pro — When setting up advanced TypeScript configurations for multi-target buildsnodejs-backend-patterns — When the main process needs complex backend logicPublished skills whose descriptions closely match this one, with their headline benchmark lift.
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