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Get Started Free →Добавление элементов, реквизитов и команд в существующую управляемую форму 1С. Используй когда нужно точечно модифицировать готовую форму
SkillScore91/100
Test results 91
3/3 safety checks passed
36%91%of test cases passed +55 pts
Passed 20 of 22 test cases with the skill, and 8 of 22 without it.
12 fixed8 passed either way2 still failing0 broke1 errored
This benchmark measured an earlier version of the skill.
A newer attempt on gemini-3.8-flash on 11/2/2026 did not produce a publishable comparison (graded differently). The snapshot above is the previously measured run.
One test taskWhich reference guide file inside references/ details selection filters, choice parameter links, and field binding rules for input fields?
Adds every file the skill has, pinned so you can update it. No account needed.
pip install "decimalai>=0.15"
decimalai skills add nikolay-shirokov-form-edit
claude --plugin-dir "$(git rev-parse --show-toplevel 2>/dev/null || pwd)/.agents"The same install from Python, for a notebook or a setup script.
pip install "decimalai>=0.15"from decimalai import skillpkg
# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("nikolay-shirokov-form-edit")
if result.exit_code:
raise SystemExit(result.problems)
print("Added. Start Claude Code with the command below.")claude --plugin-dir "$(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 nikolay-shirokov-form-editThe 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/nikolay-shirokov-form-edit/SKILL.md https://app.decimal.ai/s/nikolay-shirokov-form-edit/SKILL.md.claude/skills/nikolay-shirokov-form-edit/SKILL.mdThis gets SKILL.md only. The skill's 21 other files are 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 nikolay-shirokov-form-editimport 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("nikolay-shirokov-form-edit")
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/nikolay-shirokov-form-edit/SKILL.mdimport asyncio
from pathlib import Path
from claude_agent_sdk import ClaudeAgentOptions, query
skill = Path(".agents/skills/nikolay-shirokov-form-edit/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 21 other files are 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 nikolay-shirokov-form-editfrom 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("nikolay-shirokov-form-edit")
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/nikolay-shirokov-form-edit/SKILL.mdfrom pathlib import Path
from agents import Agent, Runner
skill = Path(".agents/skills/nikolay-shirokov-form-edit/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 21 other files are 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 nikolay-shirokov-form-editimport 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("nikolay-shirokov-form-edit")
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/nikolay-shirokov-form-edit/SKILL.mdfrom pathlib import Path
from openai import OpenAI
client = OpenAI()
skill = Path(".agents/skills/nikolay-shirokov-form-edit/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 21 other files are 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 nikolay-shirokov-form-editimport 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("nikolay-shirokov-form-edit")
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/nikolay-shirokov-form-edit/SKILL.mdfrom pathlib import Path
import anthropic
client = anthropic.Anthropic()
skill = Path(".agents/skills/nikolay-shirokov-form-edit/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 21 other files are 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 nikolay-shirokov-form-editfrom 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("nikolay-shirokov-form-edit")
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/nikolay-shirokov-form-edit/SKILL.mdfrom pathlib import Path
from google import genai
from google.genai import types
client = genai.Client()
skill = Path(".agents/skills/nikolay-shirokov-form-edit/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 21 other files are 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 nikolay-shirokov-form-editfrom 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("nikolay-shirokov-form-edit")
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/nikolay-shirokov-form-edit/SKILL.mdfrom pathlib import Path
from langchain.agents import create_agent
skill = Path(".agents/skills/nikolay-shirokov-form-edit/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 21 other files are 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 nikolay-shirokov-form-editimport 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("nikolay-shirokov-form-edit")
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/nikolay-shirokov-form-edit/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 21 other files are 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 nikolay-shirokov-form-editfrom 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("nikolay-shirokov-form-edit")
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/nikolay-shirokov-form-edit/SKILL.mdfrom pathlib import Path
from google.adk.agents import LlmAgent
skill = Path(".agents/skills/nikolay-shirokov-form-edit/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 21 other files are 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 nikolay-shirokov-form-editfrom 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("nikolay-shirokov-form-edit")
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/nikolay-shirokov-form-edit/SKILL.mdfrom pathlib import Path
from pydantic_ai import Agent
skill = Path(".agents/skills/nikolay-shirokov-form-edit/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 21 other files are not included.
Deep Agents' own skill loader reads the installed folder. No DecimalAI account needed.
pip install "decimalai>=0.16" deepagents
decimalai skills add nikolay-shirokov-form-editimport 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("nikolay-shirokov-form-edit")
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/nikolay-shirokov-form-edit/SKILL.mdfrom pathlib import Path
from deepagents import create_deep_agent
skill = Path(".agents/skills/nikolay-shirokov-form-edit/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 21 other files are not included.
Its own skill loader reads the installed folder. No DecimalAI account needed.
pip install "decimalai>=0.16" agent-framework
decimalai skills add nikolay-shirokov-form-editimport 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("nikolay-shirokov-form-edit")
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/nikolay-shirokov-form-edit/SKILL.mdimport asyncio
from pathlib import Path
from agent_framework import Agent
skill = Path(".agents/skills/nikolay-shirokov-form-edit/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 21 other files are not included.
Strands' own skill loader reads the installed folder. No DecimalAI account needed.
pip install "decimalai>=0.16" strands-agents
decimalai skills add nikolay-shirokov-form-editfrom 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("nikolay-shirokov-form-edit")
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/nikolay-shirokov-form-edit/SKILL.mdfrom pathlib import Path
from strands import Agent
skill = Path(".agents/skills/nikolay-shirokov-form-edit/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 21 other files are 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 nikolay-shirokov-form-editNo Python or account. Cursor, Copilot, Cline and Warp read this folder by themselves.
curl -fsSL --create-dirs -o .agents/skills/nikolay-shirokov-form-edit/SKILL.md https://app.decimal.ai/s/nikolay-shirokov-form-edit/SKILL.md.agents/skills/nikolay-shirokov-form-edit/SKILL.mdThis gets SKILL.md only. The skill's 21 other files are not included.
Give its text to your model as instructions. No account or package needed.
This gets SKILL.md only. The skill's 21 other files are not included.
Raw files: /s/nikolay-shirokov-form-edit/SKILL.md · /s/nikolay-shirokov-form-edit.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/nikolay-shirokov-form-edit/SKILL.mdcurl -fsSL https://app.decimal.ai/s/nikolay-shirokov-form-edit.jsonThis gets SKILL.md only. The skill's 21 other files are 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.
Точечно меняет существующий Form.xml по описанию правок в JSON; остальное в файле не трогает. Перенесённый или изменённый элемент сохраняет свой id — обработчики и обращения из модуля продолжают работать.
| Параметр | Обязательный | Описание |
|---|---|---|
| FormPath | да | Путь к существующему Form.xml |
| JsonPath | да | Путь к JSON с описанием правок |
powershell.exe -NoProfile -File "${CLAUDE_SKILL_DIR}/scripts/form-edit.ps1" -FormPath "<путь>" -JsonPath "<путь>"
| Ключ | Правка |
|---|---|
elements | Элементы: добавить, перенести, изменить, удалить — список операций, по порядку |
attributes | Реквизиты: добавить, set — изменить, rename — переименовать, remove — удалить; колонка — путём Таблица.Колонка |
commands | Команды: добавить, set, rename, remove |
parameters | Параметры формы: добавить, set, rename, remove |
title | Заголовок формы (строка или {ru, en}); null — убрать |
properties | Свойства формы: { "windowOpeningMode": "LockOwnerWindow" }; null у свойства — убрать (references/form-properties.md) |
events | Обработчики событий формы: { "OnOpen": "ПриОткрытии" } — повесить или заменить; { "OnOpen": null } — снять; ["OnOpen"] — имя по конвенции (ПриОткрытии) |
excludedCommands | Исключить стандартные команды: ["Copy"]; вернуть: { "remove": ["Copy"] } |
conditionalAppearance | Добавить правила условного оформления (references/appearance.md) |
commandInterface | Добавить команды в панели формы (references/command-interface.md) |
Все ключи необязательны, в одной правке можно сочетать любые. Имена элементов, реквизитов и команд — из /form-info. Для обработчиков событий и команд, которых ещё нет в модуле формы, навык добавляет в Module.bsl пустые процедуры с нужной сигнатурой — остаётся написать тело.
Операцию задаёт ключ:
| Ключ | Операция |
|---|---|
тип элемента: input, group, table, … | Добавить новый элемент |
move | Перенести: имя или список имён (встают подряд в этом порядке) вместе с содержимым |
set | Изменить свойства: имя или список имён |
remove | Удалить: имя или список имён; группа, страница, таблица — вместе с содержимым |
Куда встаёт добавляемый или переносимый элемент:
| Ключи | Куда |
|---|---|
after: "X" / before: "X" | Рядом с X, в его группе |
into: "G" | В конец G — группы, страницы, таблицы, командной панели |
into: "G", first: true | В начало G |
Новый элемент без позиции встаёт в конец формы; следующий без позиции — за ним. У move позиция обязательна.
{
"attributes": [ { "name": "Срочно", "type": "boolean" } ],
"elements": [
{ "group": "alwaysHorizontal", "name": "ГруппаОтгрузка", "after": "Контрагент" },
{ "move": ["Склад", "Организация"], "into": "ГруппаОтгрузка" },
{ "check": "Срочно", "path": "Срочно", "into": "ГруппаОтгрузка" },
{ "move": "ТоварыСумма", "before": "ТоварыЦена" },
{ "set": "Ответственный", "visible": false },
{ "set": "Контрагент", "title": "Покупатель", "events": { "OnChange": "КонтрагентПриИзменении" } },
{ "remove": "Комментарий" }
]
}
set)null возвращает свойству значение по умолчанию.title меняет русский текст, переводы на другие языки остаются.group: { "set": "ГруппаШапка", "group": "vertical" }.events — как у формы: имя вешает или заменяет обработчик, null снимает, список событий даёт имена по конвенции. Процедуры отвязанных обработчиков остаются в модуле — навык их перечисляет.set не меняет: такой элемент удаляют и добавляют заново.Поле и реквизит, к которому оно привязано, удаляются в одной правке:
{
"elements": [ { "remove": "Срочно" } ],
"attributes": [ { "remove": "Срочно" } ]
}
Ключ — тип элемента, значение — имя; у group значение — ориентация, а имя задаётся в name.
| Ключ | Элемент | Подробно |
|---|---|---|
input | Поле ввода | input-fields.md |
check / radio | Флажок / переключатель | input-fields.md |
labelField | Поле-надпись (значение без редактирования) | input-fields.md |
label | Надпись, текст — в title | tooltips-text.md |
group | Группа: vertical / horizontalIfPossible / alwaysHorizontal | groups-pages.md |
pages / page | Страницы / страница | groups-pages.md |
table / columnGroup | Таблица / группа колонок | table-advanced.md |
button / popup / buttonGroup / cmdBar | Кнопка / подменю / группа кнопок / командная панель | buttons-commands.md |
picture / picField | Картинка / поле-картинка | pictures.md |
Табличный документ, HTML, календарь, диаграммы и другие особые поля — по индексу ниже.
| Ключ | Описание |
|---|---|
name | Имя, если отличается от значения ключа типа. Имена в форме уникальны |
path | Путь к данным: "Объект.Склад", "ИмяРеквизита"; колонка таблицы — "Объект.Товары.Сумма" |
title / tooltip | Заголовок / подсказка (строка или {ru, en}) |
visible: false / enabled: false / readOnly: true | Скрыть / сделать недоступным / только чтение |
events | Обработчики: { "OnChange": "ИмяПроцедуры" }; имена по конвенции — списком: ["OnChange", "StartChoice"] (элемент списка может задать имя сам: { "event": "Clearing", "handler": "Имя" }) |
children / columns | Вложенные элементы группы или страницы / колонки таблицы |
Поле на новом реквизите формы — реквизит и элемент в одной правке:
{
"attributes": [ { "name": "СуммаИтого", "type": "decimal(15,2)" } ],
"elements": [ { "input": "СуммаИтого", "path": "СуммаИтого", "readOnly": true, "after": "Контрагент" } ]
}
Колонка в существующую таблицу — элемент рядом с другой колонкой или into таблицы:
{ "input": "ТоварыСкидка", "path": "Объект.Товары.Скидка", "after": "ТоварыЦена" }
Кнопка — в командную панель формы (ФормаКоманднаяПанель) или таблицы (ТоварыКоманднаяПанель); command — команда формы, stdCommand — стандартная ("Close", у таблицы — "Товары.Add"):
{
"commands": [ { "name": "Пересчитать", "action": "ПересчитатьОбработка" } ],
"elements": [ { "button": "Пересчитать", "command": "Пересчитать", "into": "ФормаКоманднаяПанель" } ]
}
Свойства командной панели формы — операция autoCmdBar: { "autoCmdBar": "ФормаКоманднаяПанель", "autofill": false } (без стандартных команд), horizontalAlign.
Имена регистрозависимы.
Форма: OnCreateAtServer, OnOpen, BeforeClose, OnClose, NotificationProcessing, ChoiceProcessing, OnReadAtServer, BeforeWriteAtServer, OnWriteAtServer, AfterWriteAtServer, BeforeWrite, AfterWrite, FillCheckProcessingAtServer, BeforeLoadDataFromSettingsAtServer, OnLoadDataFromSettingsAtServer, OnSaveDataInSettingsAtServer, URLProcessing, ExternalEvent, OnReopen
input: OnChange, StartChoice, ChoiceProcessing, AutoComplete, TextEditEnd, Clearing, Opening, Creating, EditTextChange, Tuning, StartListChoice
check / radio: OnChange
table: Selection, OnActivateRow, OnActivateCell, OnActivateField, BeforeAddRow, BeforeDeleteRow, AfterDeleteRow, BeforeRowChange, OnStartEdit, OnEditEnd, BeforeEditEnd, OnChange, ChoiceProcessing, ValueChoice, BeforeExpand, BeforeCollapse, Drag, DragStart, DragCheck, DragEnd; только у таблицы динамического списка — OnGetDataAtServer, URLGetProcessing, BeforeLoadUserSettingsAtServer, OnLoadUserSettingsAtServer, OnSaveUserSettingsAtServer, OnUpdateUserSettingSetAtServer
label: Click, URLProcessing
labelField: Click, URLProcessing, OnChange
picture: Click, Drag, DragCheck
picField: Click, OnChange, Drag, DragCheck
calendar: OnChange, Selection, OnActivateDate, OnPeriodOutput
pages: OnCurrentPageChange
spreadsheet: Selection, OnActivate, OnChangeAreaContent, DetailProcessing, AdditionalDetailProcessing
html: OnClick, DocumentComplete
У кнопки, страницы, группы колонок, командной панели и подменю событий нет. Click обычной группы и OnHover, OnSelectedRowsSetChange таблицы — только с платформы 8.5.
"attributes": [ { "name": "Итого", "type": "decimal(15,2)", "title": "Итого" },
{ "name": "Данные", "type": "ValueTable", "columns": [ { "name": "Сумма", "type": "decimal(15,2)" } ] } ],
"commands": [ { "name": "Загрузить", "action": "ЗагрузитьОбработка", "shortcut": "Ctrl+Enter" } ],
"parameters": [ { "name": "Основание", "type": "DocumentRef.Заказ", "key": true } ]
Типы: string, string(100), decimal(15,2), boolean, date, dateTime, CatalogRef.X, DocumentRef.X, EnumRef.X, ValueTable, ValueList, DynamicList, Тип1 | Тип2 — все типы в references/type-system-advanced.md. Остальные ключи реквизитов — attributes-advanced.md, команд — buttons-commands.md.
set меняет существующий реквизит, команду или параметр — ключами, что и при добавлении; null возвращает значение по умолчанию. Колонка таблицы значений — путём Таблица.Колонка. Колонка реквизита формы в табличной части объекта (сам документ или справочник не меняется) — путём Объект.ТабличнаяЧасть.Колонка:
{
"attributes": [
{ "set": "Данные.Представление", "type": "string" },
{ "name": "Данные.Код", "type": "string(9)" },
{ "remove": "Данные.Устаревшая" },
{ "name": "Объект.Товары.Скидка", "type": "decimal(15,2)" },
{ "set": "Список", "settings": { "query": "ВЫБРАТЬ …" } }
],
"elements": [ { "input": "ТоварыСкидка", "path": "Объект.Товары.Скидка", "after": "ТоварыКоличество" } ],
"commands": [ { "set": "Загрузить", "action": "ЗагрузитьИзФайла" } ]
}
type заменяет тип целиком. Вид реквизита (таблица ↔ значение ↔ динамический список) и тип основного реквизита не меняются.settings у динамического списка меняет только переданные части — остальные настройки списка остаются.Переименование — rename и to:
{ "attributes": [ { "rename": "Данные", "to": "Строки", "renameInModule": true } ] }
Пути элементов, условное оформление и командный интерфейс формы переходят на новое имя. renameInModule: true переписывает и обращения в Module.bsl; без него навык перечисляет строки модуля, которые надо поправить. Имена элементов и обработчиков не меняются.
Форма расширения (с <BaseForm>) распознаётся сама. Свои элементы, реквизиты и команды расширения называют с префиксом расширения (Расш1_Метка) и задают им title — иначе заголовок возьмётся из имени вместе с префиксом. Обработчику указывают вид вызова — callType: Before, After или Override; без него — Before:
{
"events": { "OnCreateAtServer": { "handler": "Расш1_ПриСозданииПосле", "callType": "After" } },
"elements": [
{ "set": "Банк", "events": { "OnChange": { "handler": "Расш1_БанкПриИзменении", "callType": "Before" } } },
{ "set": "Склад", "events": [ { "event": "OnChange", "callType": "After" } ] }
],
"commands": [
{ "name": "Подбор", "action": "Расш1_ПодборПосле", "callType": "After" },
{ "name": "Запрос", "actions": [
{ "handler": "Расш1_ЗапросПеред", "callType": "Before" },
{ "handler": "Расш1_ЗапросПосле", "callType": "After" } ] }
]
}
Имя по конвенции в расширении — с префиксом и видом вызова: Расш1_СкладПриИзмененииПосле. Привязку определяют событие и вид вызова: { "OnChange": null } снимает все привязки события, { "OnChange": { "handler": null, "callType": "After" } } — только After.
Под задачу подгрузите файл из references/:
| Задача | Справочник |
|---|---|
| Новые группы и поля в стиле типовых: где разместить, имена групп и элементов, ширины полей | layout-patterns.md |
| Поле ввода, флажок, переключатель: кнопки, список выбора, быстрый выбор, своя форма выбора, маска, формат, пароль, выключатель/тумблер, поле составного типа | input-fields.md |
| Ограничить выбор отбором, связать поле с другим полем, связь по типу | choice-params.md |
| Группа и страницы: ориентация, рамка, свёрнутая группа, интервалы, заголовок из данных, значок закладки, мастер по шагам | groups-pages.md |
| Таблица: колонки и группы колонок, итоги в подвале, дерево, выделение строк, закрепление колонок, поиск, перетаскивание | table-advanced.md |
| Форма списка: источник данных, запрос, отбор, сортировка, группировка, иерархия | dynamic-list.md |
| Кнопки, подменю, команды: картинка кнопки, переключатель в панели, команды таблицы в группе кнопок, своё контекстное меню у поля, команда для текущей строки | buttons-commands.md |
Подсветить цветом, шрифт, рамка, условное оформление (в форме списка — dynamic-list.md) | appearance.md |
| Расширенная подсказка под полем, надпись с выделением или ссылкой | tooltips-text.md |
| Картинка, значок в колонке, иконка по значению | pictures.md |
| Табличный документ (печатная форма, отчёт на форме) | spreadsheet.md |
| HTML, текстовый документ, индикатор, ползунок, календарь, период | special-fields.md |
| Диаграмма, диаграмма Ганта, планировщик | charts.md |
| Свойства формы: модальность, размер, прокрутка, Enter, время и проведение документа | form-properties.md |
| Форма отчёта (СКД) | report-form.md |
| Реквизиты: сохранение в настройках, проверка заполнения, функциональные опции | attributes-advanced.md |
| Типы реквизитов, составные типы и наборы | type-system-advanced.md |
| Видимость и доступ по ролям | roles-access.md |
| Командный интерфейс формы (переходы, важные команды) | command-interface.md |
| Размеры, выравнивание, фокус по умолчанию, узкие экраны | layout-advanced.md |
| Какие события есть у элемента или формы, имена обработчиков, с какой платформы | events.md |
/form-info — структура формы: имена элементов, реквизиты, команды./form-edit — применить; в выводе — что добавлено, перенесено, изменено и удалено./form-validate — проверить форму.Skills that do similar work, with their headline benchmark lift.
From the same source and nearby in the catalogue.