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Telnyx Email Domains — curl · team-telnyx | DecimalAI

DevOpsby team-telnyx

Telnyx Email Domains — curl

Manage email sending domains, verify DNS records (SPF, DKIM, DMARC, MX), check domain health, and configure domain-level webhooks for delivery events.

Never made a case worseMaintained

SkillScore

SkillScore100/100

Test results 100

Safety

3/3 safety checks passed

Code scan
Intent
Content

What it changes

36%100%of test cases passed +64 pts

Without skill8 of 22

With skill22 of 22

14 fixed8 passed either way0 still failing0 broke

Measured on gemini-3.6-flash9/3/2026v121 comparable

Track record

Agent runs: 0; All time

See one task, with and without the skill

One test taskI created a custom domain in Telnyx (ID: 333e4444-e89b-12d3-a456-426614174000) by mistake. It is still in unverified status. What curl command should I run to delete it? Do I need force=true?

Without the skillMissed

With the skillPassed

Same model, same task. Answers are capped and redacted.

Use this skill

Your agent runs on

Adds every file the skill has, pinned so you can update it. No account needed.

pip install "decimalai>=0.15"
decimalai skills add team-telnyx-telnyx-email-domains-curl
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.

Install

pip install "decimalai>=0.15"

Add the skill

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-domains-curl")
if result.exit_code:
    raise SystemExit(result.problems)

print("Added. Start Claude Code with the command below.")

Start Claude Code with it

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.

Add the DecimalAI plugin, once

/plugin marketplace add decimal-labs/decimalai-claude-plugins
/plugin install decimalai@decimalai

Install this skill

/decimalai:install team-telnyx-telnyx-email-domains-curl

The plugin needs python3 and curl on your machine.

No Python or account. Claude Code picks it up in its next session.

Save it into your project

curl -fsSL --create-dirs -o .claude/skills/team-telnyx-telnyx-email-domains-curl/SKILL.md https://app.decimal.ai/s/team-telnyx-telnyx-email-domains-curl/SKILL.md

Copy SKILL.md

Save it in your project, as

.claude/skills/team-telnyx-telnyx-email-domains-curl/SKILL.md

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Claude Code docs

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.

Install

pip install "decimalai[claude-agent-sdk]"
decimalai skills add team-telnyx-telnyx-email-domains-curl

Add it to your agent

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.

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.

Install

pip install "decimalai[claude-agent-sdk]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-domains-curl")
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.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-domains-curl/SKILL.md

Give it to your agent

import asyncio
from pathlib import Path
from claude_agent_sdk import ClaudeAgentOptions, query

skill = Path(".agents/skills/team-telnyx-telnyx-email-domains-curl/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.

Other ways to add it

Claude Agent SDK docs

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.

Install

pip install "decimalai[openai-agents]"
decimalai skills add team-telnyx-telnyx-email-domains-curl

Add it to your agent

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.

Install

pip install "decimalai[openai-agents]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-domains-curl")
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.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-domains-curl/SKILL.md

Give it to your agent

from pathlib import Path
from agents import Agent, Runner

skill = Path(".agents/skills/team-telnyx-telnyx-email-domains-curl/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.

Other ways to add it

OpenAI Agents docs

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.

Install

pip install "decimalai[openai]"
decimalai skills add team-telnyx-telnyx-email-domains-curl

Add it to your agent

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.

Install

pip install "decimalai[openai]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-domains-curl")
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.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-domains-curl/SKILL.md

Give it to your agent

from pathlib import Path
from openai import OpenAI

client = OpenAI()
skill = Path(".agents/skills/team-telnyx-telnyx-email-domains-curl/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].message

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

OpenAI SDK docs

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.

Install

pip install "decimalai[anthropic]"
decimalai skills add team-telnyx-telnyx-email-domains-curl

Add it to your agent

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()

Install

pip install "decimalai[anthropic]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-domains-curl")
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.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-domains-curl/SKILL.md

Give it to your agent

from pathlib import Path
import anthropic

client = anthropic.Anthropic()
skill = Path(".agents/skills/team-telnyx-telnyx-email-domains-curl/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.

Other ways to add it

Anthropic docs

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.

Install

pip install "decimalai[google-genai]"
decimalai skills add team-telnyx-telnyx-email-domains-curl

Add it to your agent

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)

Install

pip install "decimalai[google-genai]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-domains-curl")
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.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-domains-curl/SKILL.md

Give it to your agent

from pathlib import Path
from google import genai
from google.genai import types

client = genai.Client()
skill = Path(".agents/skills/team-telnyx-telnyx-email-domains-curl/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.

Other ways to add it

Gemini API docs

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.

Install

pip install "decimalai[langchain]" langchain-openai
decimalai skills add team-telnyx-telnyx-email-domains-curl

Add it to your agent

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!"}]})

Install

pip install "decimalai[langchain]" langchain-openai

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-domains-curl")
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.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-domains-curl/SKILL.md

Give it to your agent

from pathlib import Path
from langchain.agents import create_agent

skill = Path(".agents/skills/team-telnyx-telnyx-email-domains-curl/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.

Other ways to add it

LangChain docs

CrewAI's own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" "crewai>=1.15.27"
decimalai skills add team-telnyx-telnyx-email-domains-curl

Add it to your agent

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()

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.

Install

pip install "decimalai>=0.16" "crewai>=1.15.27"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-domains-curl")
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.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-domains-curl/SKILL.md

Give it to your agent

from 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.

Other ways to add it

CrewAI docs

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.

Install

pip install "decimalai[adk]"
decimalai skills add team-telnyx-telnyx-email-domains-curl

Add it to your agent

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.

Install

pip install "decimalai[adk]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-domains-curl")
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.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-domains-curl/SKILL.md

Give it to your agent

from pathlib import Path
from google.adk.agents import LlmAgent

skill = Path(".agents/skills/team-telnyx-telnyx-email-domains-curl/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.

Other ways to add it

Google ADK docs

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.

Install

pip install "decimalai[pydantic-ai]"
decimalai skills add team-telnyx-telnyx-email-domains-curl

Add it to your agent

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.

Install

pip install "decimalai[pydantic-ai]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-domains-curl")
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.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-domains-curl/SKILL.md

Give it to your agent

from pathlib import Path
from pydantic_ai import Agent

skill = Path(".agents/skills/team-telnyx-telnyx-email-domains-curl/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.

Other ways to add it

Pydantic AI docs

Deep Agents' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" deepagents
decimalai skills add team-telnyx-telnyx-email-domains-curl

Add it to your agent

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(...)).

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.

Install

pip install "decimalai>=0.16" deepagents

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-domains-curl")
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.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-domains-curl/SKILL.md

Give it to your agent

from pathlib import Path
from deepagents import create_deep_agent

skill = Path(".agents/skills/team-telnyx-telnyx-email-domains-curl/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.

Other ways to add it

Deep Agents docs

Its own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" agent-framework
decimalai skills add team-telnyx-telnyx-email-domains-curl

Add it to your agent

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.

The same install from Python, for a notebook or a setup script. Its own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" agent-framework

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-domains-curl")
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.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-domains-curl/SKILL.md

Give it to your agent

import asyncio
from pathlib import Path
from agent_framework import Agent

skill = Path(".agents/skills/team-telnyx-telnyx-email-domains-curl/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.

Other ways to add it

Microsoft Agent Framework docs

Strands' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" strands-agents
decimalai skills add team-telnyx-telnyx-email-domains-curl

Add it to your agent

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.

The same install from Python, for a notebook or a setup script. Strands' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" strands-agents

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-domains-curl")
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.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-domains-curl/SKILL.md

Give it to your agent

from pathlib import Path
from strands import Agent

skill = Path(".agents/skills/team-telnyx-telnyx-email-domains-curl/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.

Other ways to add it

Strands docs

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 team-telnyx-telnyx-email-domains-curl

No Python or account. Cursor, Copilot, Cline and Warp read this folder by themselves.

Save it into your project

curl -fsSL --create-dirs -o .agents/skills/team-telnyx-telnyx-email-domains-curl/SKILL.md https://app.decimal.ai/s/team-telnyx-telnyx-email-domains-curl/SKILL.md

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-domains-curl/SKILL.md

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Cursor and other editors docs

Fetch the file and give its text to your model as instructions. No account or package needed.

Get the file

curl -fsSL https://app.decimal.ai/s/team-telnyx-telnyx-email-domains-curl/SKILL.md

Read the summary as JSON

curl -fsSL https://app.decimal.ai/s/team-telnyx-telnyx-email-domains-curl.json

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Other setups docs

You don't need a DecimalAI account.

Version: v1, tested 9/3/2026
Source: team-telnyx/ai ↗
License: MIT

Manage it in DecimalAI

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.

Use this skill

SKILL.md

Telnyx Email Domains — curl

Installation

# curl is pre-installed on macOS, Linux, and Windows 10+.
# A JSON formatter such as `python3 -m json.tool` is optional.

Setup

export TELNYX_API_KEY="YOUR_API_KEY_HERE"
export TELNYX_API_BASE="https://api.telnyx.com/v2"

# Set these from API responses after creating or listing resources.
export EMAIL_DOMAIN_ID="123e4567-e89b-12d3-a456-426614174000"
export EMAIL_WEBHOOK_ID="123e4567-e89b-12d3-a456-426614174003"

Every request requires:

-H "Authorization: Bearer $TELNYX_API_KEY"

Mutation requests with JSON also require:

-H "Content-Type: application/json"

Use --fail-with-body --silent --show-error in automation so non-2xx responses fail the command without hiding the Telnyx error body.

Error Handling

Error responses use an errors array:

{
  "errors": [
    {
      "code": "10015",
      "title": "Validation Failed",
      "detail": "domain is invalid",
      "source": {"pointer": "/data/attributes/domain"}
    }
  ]
}

Common cases:

HTTP	Meaning	Action
`400`	Invalid list query or malformed input	Fix the query; do not retry unchanged.
`401`	Missing or invalid API key	Fix authentication.
`403`	Shared domain is read-only (`10008`) or access is insufficient	Use an owned custom domain or correct permissions.
`404`	Domain or webhook not found (`10001`)	Re-list resources and verify both IDs.
`422`	Request validation or state transition failed (`10015` and related codes)	Inspect every error and `source.pointer`; correct the request or state.
`429`	Rate limit	Honor `Retry-After` when present and back off.
`500`	Unexpected service error	Retry only safe reads or carefully reconciled mutations.

Do not retry a create blindly after a transport timeout; first list domains and check whether the resource was created. verify and GET operations are safe to repeat. Before retrying DELETE or PATCH, retrieve the current state. Use bounded exponential backoff with jitter for transient 429 and 5xx failures.

Important Notes

All 13 reachable operations use the Telnyx v2 REST API and Bearer authentication.
A custom domain is not ready merely because POST /v2/email_domains succeeds. Create it, retrieve its generated DNS records, publish those records, trigger verification, and check health until usable_for_sending is true.
Call GET /v2/email_domains/{domain_id}/dns_records to retrieve the exact DNS records you need to publish. The response includes the record type, host, value, and priority for each record.
The OpenAPI DNS-purpose enum includes ownership, spf, dkim, dmarc, and mx. SPF, DKIM, and DMARC are authentication-related purposes; MX supports inbound routing when required. Publish the exact API-returned values rather than constructing DNS records from examples.
Webhooks are configured at the domain level through POST /v2/email_domains/{domain_id}/webhooks, not per message.
Domain IDs and webhook IDs are UUIDs returned by the API, not domain names.

Operational Caveats

Shared versus custom domains: Telnyx-managed shared domains are pre-provisioned and readable/usable by accounts. Custom domains require customer DNS setup and verification. Non-owners cannot update, verify, or delete a shared domain; those attempts return 403 with code 10008.
DNS is API-generated: The API does not expose customer-facing create/update/delete operations for individual generated DNS records. Publish records at the authoritative DNS provider, then call the verify operation.
Tracking defaults live on the domain: open_tracking, click_tracking, and unsubscribe_tracking default to false, false, and true, respectively. A send may override these defaults without changing the domain.
Health is the readiness signal: Do not infer deliverability from one DNS record. Check the aggregate health response and the relevant usability boolean.
Verification reflects DNS propagation: A successful verify request means the check ran, not that every record passed. Wait and use bounded backoff before checking again; never tight-loop verification.
Verified deletion requires intent: Pass force=true to delete a verified custom domain. Delete returns 200 with the deleted domain, not 204.
Pagination differs by resource: Domain lists support offset or cursor pagination. Webhook lists support offset pagination only. Treat cursors as opaque and inspect the returned .meta shape.

Reference Use Rules

Do not invent request fields, DNS values, event names, response fields, or status enums.

Read references/api-details.md for complete request/response schemas and every enum.
Before constructing list filters or pagination, read List query parameters.
Before branching on DNS or health, read DNS and verification semantics and Response schemas.
Before subscribing to events, read Webhook event allowlist. The allowlist is explicit and has no default-to-all behavior.
Before retrying failures, read Errors and retry behavior.

Core Tasks

Provision and verify a custom domain

1. Create a domain

POST /v2/email_domains

Parameter	Type	Required	Description
`domain`	string	Yes	Custom domain name, for example `example.com`.
`inbound_enabled`	boolean	No	Enable inbound routing; defaults to `false`.
`dmarc_policy`	object \| null	No	Advisory DMARC policy (`p`, `pct`, `rua`, `sp`).
`tracking`	object	No	Domain defaults for open, click, and unsubscribe tracking.

curl --fail-with-body --silent --show-error \
  -X POST \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "domain": "example.com",
    "inbound_enabled": true,
    "dmarc_policy": {
      "p": "none",
      "pct": 100,
      "rua": "mailto:[email protected]"
    },
    "tracking": {
      "open_tracking": true,
      "click_tracking": true,
      "unsubscribe_tracking": true
    }
  }' \
  "$TELNYX_API_BASE/email_domains"

Expected status: 201. Save .data.id as EMAIL_DOMAIN_ID. Do not send until .data.usable_for_sending is true.

2. Retrieve the required DNS records

GET /v2/email_domains/{domain_id}/dns_records

Parameter	Type	Required	Description
`domain_id`	UUID path parameter	Yes	Domain ID returned by the API.

curl --fail-with-body --silent --show-error \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  "$TELNYX_API_BASE/email_domains/$EMAIL_DOMAIN_ID/dns_records"

Each item in .data[] includes purpose, record_type, host, value, priority, required, status, and possibly actual_value. Publish every required record exactly as returned. Use the response to decide which records are required for this domain's sending and inbound configuration.

3. Trigger DNS verification

POST /v2/email_domains/{domain_id}/verify

Parameter	Type	Required	Description
`domain_id`	UUID path parameter	Yes	Domain whose current DNS records should be checked.
Request body	—	No	This operation has no request body.

curl --fail-with-body --silent --show-error \
  -X POST \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  "$TELNYX_API_BASE/email_domains/$EMAIL_DOMAIN_ID/verify"

Expected status: 200. Inspect .data.verification and each .data.dns_records[].status. A 200 means the check ran; it does not guarantee that every record verified.

4. Check domain health

GET /v2/email_domains/{id}/health

Parameter	Type	Required	Description
`id`	UUID path parameter	Yes	Domain whose aggregate readiness should be checked.

curl --fail-with-body --silent --show-error \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  "$TELNYX_API_BASE/email_domains/$EMAIL_DOMAIN_ID/health"

Read .data.status, .data.usable_for_sending, .data.usable_for_inbound, .data.verification, and .data.checked_at. DMARC may be missing_optional without blocking sending; use each record's required flag and the health booleans rather than treating every non-verified value as fatal.

List domains

GET /v2/email_domains

Query parameter	Type	Required	Description
`page[number]`	integer	No	Offset page number.
`page[size]`	integer	No	Page size from `1` to `100`.
`sort`	enum	No	`created_at`, `-created_at`, `domain`, or `-domain`.
`filter[type]`	enum	No	`custom`, `shared`, or `shared_inbound`.
`filter[usable_for_sending]`	boolean	No	Limit results by sending readiness.
...			See all list query parameters.

curl --fail-with-body --silent --show-error --get \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  --data-urlencode "page[number]=1" \
  --data-urlencode "page[size]=25" \
  --data-urlencode "sort=-created_at" \
  --data-urlencode "filter[type]=custom" \
  --data-urlencode "filter[usable_for_sending]=true" \
  "$TELNYX_API_BASE/email_domains"

Supported filters also include status, partial case-insensitive domain, profile_id, and usable_for_inbound. Domain lists support offset pagination and cursor pagination; inspect the returned .meta shape.

Retrieve a domain

GET /v2/email_domains/{id}

Parameter	Type	Required	Description
`id`	UUID path parameter	Yes	Domain to retrieve.

curl --fail-with-body --silent --show-error \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  "$TELNYX_API_BASE/email_domains/$EMAIL_DOMAIN_ID"

Expected status: 200. The response includes DNS, DKIM, inbound, DMARC, tracking, usability, timestamps, and optional reputation information.

Update a domain

PATCH /v2/email_domains/{id}

Parameter	Type	Required	Description
`id`	UUID path parameter	Yes	Domain to update.
`inbound_enabled`	boolean	No	Enable or disable inbound routing.
`dmarc_policy`	object \| null	No	Change the advisory DMARC policy.
`tracking`	object	No	Change domain tracking defaults.

The domain name and type are not mutable. Include at least one field to change. Updating the DMARC policy rebuilds the recommended DMARC record and resets its verification to pending, so retrieve the new DNS records, publish the returned value, and verify again.

curl --fail-with-body --silent --show-error \
  -X PATCH \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "inbound_enabled": true,
    "tracking": {
      "open_tracking": false,
      "click_tracking": true,
      "unsubscribe_tracking": true
    }
  }' \
  "$TELNYX_API_BASE/email_domains/$EMAIL_DOMAIN_ID"

Expected status: 200. A non-owner cannot mutate a shared domain (403, code 10008).

Delete a domain

DELETE /v2/email_domains/{id}

Parameter	Type	Required	Description
`id`	UUID path parameter	Yes	Domain to delete.
`force`	boolean query parameter	For verified domains	Must be `true` to delete a verified domain.

# For a pending or unverified custom domain:
curl --fail-with-body --silent --show-error \
  -X DELETE \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  "$TELNYX_API_BASE/email_domains/$EMAIL_DOMAIN_ID"

# For a verified custom domain, explicitly confirm deletion:
curl --fail-with-body --silent --show-error --get \
  -X DELETE \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  --data-urlencode "force=true" \
  "$TELNYX_API_BASE/email_domains/$EMAIL_DOMAIN_ID"

Expected status: 200 with the deleted domain in .data. A non-owner cannot delete a shared domain.

Webhooks

Webhooks are configured at the domain level through POST /v2/email_domains/{domain_id}/webhooks, not per message. A subscription contains a delivery URL and a non-empty explicit event allowlist.

Verify and process webhook deliveries

Telnyx signs webhook deliveries with Ed25519 and sends the telnyx-signature-ed25519 and telnyx-timestamp headers. Follow this order for every delivery:

Read and retain the request's raw body bytes. Do not parse JSON first; changing whitespace or serialization before verification invalidates the signed body.
Read telnyx-timestamp and reject requests outside a 5-minute timestamp tolerance to limit replay attacks.
Verify telnyx-signature-ed25519 against the timestamp and raw body with your Telnyx Ed25519 public key. Use the official Telnyx verifier for your runtime where available. Reject the request before parsing or processing if signature verification fails.
Parse the verified body, extract its event ID, and atomically record that ID. If the event ID was already processed, return a success response without repeating side effects.
Persist or enqueue work, then return a 2xx response within 10 seconds. Keep slow downstream processing outside the request path.

Telnyx retries on timeout or non-2xx. Keep your endpoint idempotent.

Webhook events

The current OpenAPI EmailWebhookEvent enum contains these exact subscribable event types:

Category	Event types
Outbound lifecycle	`email.scheduled`, `email.sandbox`, `email.queued`, `email.sending`, `email.sent`, `email.delivered`, `email.deferred`, `email.bounced`, `email.failed`
Engagement	`email.complained`, `email.opened`, `email.clicked`, `email.unsubscribed`
Inbound	`email.received`
Domain lifecycle	`email_domain.created`, `email_domain.verified`, `email_domain.degraded`, `email_domain.suspended`, `email_domain.deleted`

Use exact case and punctuation. The create request requires at least one event; there is no implicit all-events subscription. PATCH replaces the event list, so include the complete desired allowlist.

List webhooks

GET /v2/email_domains/{domain_id}/webhooks

Query parameter	Type	Required	Description
`domain_id`	UUID path parameter	Yes	Parent domain.
`page[number]`	integer	No	Offset page number; defaults to `1`.
`page[size]`	integer	No	Page size from `1` to `100`; defaults to `25`.
`sort`	enum	No	`created_at` or `-created_at`.

curl --fail-with-body --silent --show-error --get \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  --data-urlencode "page[number]=1" \
  --data-urlencode "page[size]=25" \
  --data-urlencode "sort=-created_at" \
  "$TELNYX_API_BASE/email_domains/$EMAIL_DOMAIN_ID/webhooks"

Expected status: 200 with .data[] and .meta. Webhook lists use offset pagination only.

Create a webhook

POST /v2/email_domains/{domain_id}/webhooks

Parameter	Type	Required	Description
`domain_id`	UUID path parameter	Yes	Parent domain.
`url`	URI string	Yes	Webhook delivery destination.
`events`	array of `EmailWebhookEvent`	Yes	Non-empty exact event allowlist.

curl --fail-with-body --silent --show-error \
  -X POST \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://example.com/webhooks/email",
    "events": [
      "email.queued",
      "email.sent",
      "email.delivered",
      "email.bounced",
      "email.failed",
      "email.received",
      "email_domain.verified"
    ]
  }' \
  "$TELNYX_API_BASE/email_domains/$EMAIL_DOMAIN_ID/webhooks"

Expected status: 201. Save .data.id as EMAIL_WEBHOOK_ID.

Retrieve a webhook

GET /v2/email_domains/{domain_id}/webhooks/{id}

Parameter	Type	Required	Description
`domain_id`	UUID path parameter	Yes	Parent domain.
`id`	UUID path parameter	Yes	Webhook to retrieve.

curl --fail-with-body --silent --show-error \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  "$TELNYX_API_BASE/email_domains/$EMAIL_DOMAIN_ID/webhooks/$EMAIL_WEBHOOK_ID"

Expected status: 200. Confirm .data.domain_id matches the domain in the path.

Update a webhook

PATCH /v2/email_domains/{domain_id}/webhooks/{id}

Parameter	Type	Required	Description
`domain_id`	UUID path parameter	Yes	Parent domain.
`id`	UUID path parameter	Yes	Webhook to update.
`url`	URI string	No	New delivery destination.
`events`	array of `EmailWebhookEvent`	No	Replacement non-empty event allowlist.

The request may update url, events, or both. domain_id is bound at creation and cannot be changed.

curl --fail-with-body --silent --show-error \
  -X PATCH \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "events": [
      "email.sent",
      "email.delivered",
      "email.bounced",
      "email.complained",
      "email.opened",
      "email.clicked",
      "email.unsubscribed"
    ]
  }' \
  "$TELNYX_API_BASE/email_domains/$EMAIL_DOMAIN_ID/webhooks/$EMAIL_WEBHOOK_ID"

Expected status: 200. Verify the returned .data.events contains the complete desired allowlist.

Delete a webhook

DELETE /v2/email_domains/{domain_id}/webhooks/{id}

Parameter	Type	Required	Description
`domain_id`	UUID path parameter	Yes	Parent domain.
`id`	UUID path parameter	Yes	Webhook to delete.

curl --fail-with-body --silent --show-error \
  -X DELETE \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  "$TELNYX_API_BASE/email_domains/$EMAIL_DOMAIN_ID/webhooks/$EMAIL_WEBHOOK_ID"

Expected status: 200 with the deleted webhook in .data, not 204.

Additional Operations

All 13 reachable operations are indexed below. Use the inline core tasks first; for exhaustive optional parameters and response schemas, read references/api-details.md.

#	Operation	Operation ID	Endpoint	Required params
1	List domains	`listEmailDomains`	`GET /v2/email_domains`	None
2	Create a domain	`createEmailDomain`	`POST /v2/email_domains`	`domain`
3	Retrieve a domain	`getEmailDomain`	`GET /v2/email_domains/{id}`	`id`
4	Update a domain	`updateEmailDomain`	`PATCH /v2/email_domains/{id}`	`id`; include at least one update field
5	Delete a domain	`deleteEmailDomain`	`DELETE /v2/email_domains/{id}`	`id`; `force=true` for a verified domain
6	Get domain health	`getEmailDomainHealth`	`GET /v2/email_domains/{id}/health`	`id`
7	List generated DNS records	`listEmailDomainDnsRecords`	`GET /v2/email_domains/{domain_id}/dns_records`	`domain_id`
8	Verify current DNS	`verifyEmailDomainDnsRecords`	`POST /v2/email_domains/{domain_id}/verify`	`domain_id`
9	List domain webhooks	`listEmailDomainWebhooks`	`GET /v2/email_domains/{domain_id}/webhooks`	`domain_id`
10	Create a domain webhook	`createEmailDomainWebhook`	`POST /v2/email_domains/{domain_id}/webhooks`	`domain_id`, `url`, `events`
11	Retrieve a domain webhook	`getEmailDomainWebhook`	`GET /v2/email_domains/{domain_id}/webhooks/{id}`	`domain_id`, `id`
12	Update a domain webhook	`updateEmailDomainWebhook`	`PATCH /v2/email_domains/{domain_id}/webhooks/{id}`	`domain_id`, `id`; include `url`, `events`, or both
13	Delete a domain webhook	`deleteEmailDomainWebhook`	`DELETE /v2/email_domains/{domain_id}/webhooks/{id}`	`domain_id`, `id`

Before using lower-frequency optional parameters or branching on response fields, read the list-query section, the request schemas, and the response schemas.

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skills/telnyx-email-domains-curl/SKILL.md

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Telnyx Email Domains — curl

Installation

Setup

Error Handling

Important Notes

Operational Caveats

Reference Use Rules

Core Tasks

Provision and verify a custom domain

1. Create a domain

2. Retrieve the required DNS records

3. Trigger DNS verification

4. Check domain health

List domains

Retrieve a domain

Update a domain

Delete a domain

Webhooks

Verify and process webhook deliveries

Webhook events

List webhooks

Create a webhook

Retrieve a webhook

Update a webhook

Delete a webhook

Additional Operations

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