Agent skill

Telnyx Missions Python

by majiayu000 in majiayu000/claude-skill-registry

Create and manage Telnyx Missions — automated workflows, tasks, and sub-resources for AI-driven telecom operations.

MITAuto-check passedKnowledge Management

Install Telnyx Missions Python

skills CLI
$ npx skills add majiayu000/claude-skill-registry --skill telnyx-missions-python -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install majiayu000/claude-skill-registry telnyx-missions-python --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/api/telnyx-missions-python .claude/skills/telnyx-missions-python && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
telnyx-missions-python
GitHub stars
666
Used in
1 other repo
Token cost
~5.1k tokens
SKILL.md length
1,182 words
Files
2
Skills in repo
1,273
Repo updated
First seen
Licence
MIT

At a glance

Create and manage Telnyx Missions — automated workflows, tasks, and sub-resources for AI-driven telecom operations.

  • Tasks that involve Knowledge bases
  • SKILL.md covers Installation, Setup, Error Handling and Important Notes, plus 25 more sections
  • Calls pip; needs TELNYX_API_KEY

What it does

Telnyx Missions Python is an agent skill from majiayu000/claude-skill-registry. Create and manage Telnyx Missions — automated workflows, tasks, and sub-resources for AI-driven telecom operations. This skill provides Python SDK examples.

Its SKILL.md is about 5.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).

It sits in Knowledge Management, covering Knowledge bases. It works with Python and Model Context Protocol. The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is MIT.

When your agent uses it

  • Tasks that involve Knowledge bases

Example prompts

  • “/telnyx-missions-python”

Requirements

  • Python 3
  • A credential in TELNYX_API_KEY

What it can do on your machine

Read from SKILL.md and the folder at commit 2d14a69. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • TELNYX_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Telnyx Missions Python loads about 5.1k tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 1,182 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~45
When it runs · the whole SKILL.md, loaded when a task matches
~5.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from majiayu000/claude-skill-registry at commit 2d14a69, republished under its MIT licence (© majiayu000). 1,182 words, ~5,062 tokens.

Download SKILL.mdSave it as .claude/skills/telnyx-missions-python/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
telnyx-missions-python
description
Create and manage Telnyx Missions — automated workflows, tasks, and sub-resources for AI-driven telecom operations. This skill provides Python SDK examples.
metadata.author
telnyx
metadata.product
missions
metadata.language
python
metadata.generated_by
telnyx-openapi-pipeline
<!-- Auto-generated from Telnyx OpenAPI specs. Do not edit. -->

Telnyx Missions - Python

Installation

bash
pip install telnyx

Setup

python
import os
from telnyx import Telnyx

client = Telnyx(
    api_key=os.environ.get("TELNYX_API_KEY"),  # This is the default and can be omitted
)

All examples below assume client is already initialized as shown above.

Error Handling

All API calls can fail with network errors, rate limits (429), validation errors (422), or authentication errors (401). Always handle errors in production code:

python
import telnyx

try:
    result = client.messages.send(to="+13125550001", from_="+13125550002", text="Hello")
except telnyx.APIConnectionError:
    print("Network error — check connectivity and retry")
except telnyx.RateLimitError:
    # 429: rate limited — wait and retry with exponential backoff
    import time
    time.sleep(1)  # Check Retry-After header for actual delay
except telnyx.APIStatusError as e:
    print(f"API error {e.status_code}: {e.message}")
    if e.status_code == 422:
        print("Validation error — check required fields and formats")

Common error codes: 401 invalid API key, 403 insufficient permissions, 404 resource not found, 422 validation error (check field formats), 429 rate limited (retry with exponential backoff).

Important Notes

  • Pagination: List methods return an auto-paginating iterator. Use for item in page_result: to iterate through all pages automatically.

List missions

List all missions for the organization

GET /ai/missions

python
page = client.ai.missions.list()
page = page.data[0]
print(page.mission_id)

Returns: created_at (date-time), description (string), execution_mode (enum: external, managed), instructions (string), metadata (object), mission_id (uuid), model (string), name (string), updated_at (date-time)

Create mission

Create a new mission definition

POST /ai/missions — Required: name

Optional: description (string), execution_mode (enum: external, managed), instructions (string), metadata (object), model (string)

python
mission = client.ai.missions.create(
    name="my-resource",
)
print(mission.data)

Returns: created_at (date-time), description (string), execution_mode (enum: external, managed), instructions (string), metadata (object), mission_id (uuid), model (string), name (string), updated_at (date-time)

List recent events

List recent events across all missions

GET /ai/missions/events

python
page = client.ai.missions.list_events()
page = page.data[0]
print(page.event_id)

Returns: agent_id (string), event_id (string), idempotency_key (string), payload (object), run_id (string), step_id (string), summary (string), timestamp (date-time), type (enum: status_change, step_started, step_completed, step_failed, tool_call, tool_result, message, error, custom)

List recent runs

List recent runs across all missions

GET /ai/missions/runs

python
page = client.ai.missions.runs.list_runs()
page = page.data[0]
print(page.mission_id)

Returns: error (string), finished_at (date-time), input (object), metadata (object), mission_id (uuid), result_payload (object), result_summary (string), run_id (uuid), started_at (date-time), status (enum: pending, running, paused, succeeded, failed, cancelled), updated_at (date-time)

Get mission

Get a mission by ID (includes tools, knowledge_bases, mcp_servers)

GET /ai/missions/{mission_id}

python
mission = client.ai.missions.retrieve(
    "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(mission.data)

Returns: created_at (date-time), description (string), execution_mode (enum: external, managed), instructions (string), metadata (object), mission_id (uuid), model (string), name (string), updated_at (date-time)

Update mission

Update a mission definition

PUT /ai/missions/{mission_id}

Optional: description (string), execution_mode (enum: external, managed), instructions (string), metadata (object), model (string), name (string)

python
response = client.ai.missions.update_mission(
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response.data)

Returns: created_at (date-time), description (string), execution_mode (enum: external, managed), instructions (string), metadata (object), mission_id (uuid), model (string), name (string), updated_at (date-time)

Delete mission

Delete a mission

DELETE /ai/missions/{mission_id}

python
client.ai.missions.delete_mission(
    "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)

Clone mission

Clone an existing mission

POST /ai/missions/{mission_id}/clone

python
response = client.ai.missions.clone_mission(
    "mission_id",
)
print(response)

List knowledge bases

List all knowledge bases for a mission

GET /ai/missions/{mission_id}/knowledge-bases

python
response = client.ai.missions.knowledge_bases.list_knowledge_bases(
    "mission_id",
)
print(response)

Create knowledge base

Create a new knowledge base for a mission

POST /ai/missions/{mission_id}/knowledge-bases

python
response = client.ai.missions.knowledge_bases.create_knowledge_base(
    "mission_id",
)
print(response)

Get knowledge base

Get a specific knowledge base by ID

GET /ai/missions/{mission_id}/knowledge-bases/{knowledge_base_id}

python
response = client.ai.missions.knowledge_bases.get_knowledge_base(
    knowledge_base_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)
print(response)

Update knowledge base

Update a knowledge base definition

PUT /ai/missions/{mission_id}/knowledge-bases/{knowledge_base_id}

python
response = client.ai.missions.knowledge_bases.update_knowledge_base(
    knowledge_base_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)
print(response)

Delete knowledge base

Delete a knowledge base from a mission

DELETE /ai/missions/{mission_id}/knowledge-bases/{knowledge_base_id}

python
client.ai.missions.knowledge_bases.delete_knowledge_base(
    knowledge_base_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)

List MCP servers

List all MCP servers for a mission

GET /ai/missions/{mission_id}/mcp-servers

python
response = client.ai.missions.mcp_servers.list_mcp_servers(
    "mission_id",
)
print(response)

Create MCP server

Create a new MCP server for a mission

POST /ai/missions/{mission_id}/mcp-servers

python
response = client.ai.missions.mcp_servers.create_mcp_server(
    "mission_id",
)
print(response)

Get MCP server

Get a specific MCP server by ID

GET /ai/missions/{mission_id}/mcp-servers/{mcp_server_id}

python
response = client.ai.missions.mcp_servers.get_mcp_server(
    mcp_server_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)
print(response)

Update MCP server

Update an MCP server definition

PUT /ai/missions/{mission_id}/mcp-servers/{mcp_server_id}

python
response = client.ai.missions.mcp_servers.update_mcp_server(
    mcp_server_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)
print(response)

Delete MCP server

Delete an MCP server from a mission

DELETE /ai/missions/{mission_id}/mcp-servers/{mcp_server_id}

python
client.ai.missions.mcp_servers.delete_mcp_server(
    mcp_server_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)

List runs for mission

List all runs for a specific mission

GET /ai/missions/{mission_id}/runs

python
page = client.ai.missions.runs.list(
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
page = page.data[0]
print(page.mission_id)

Returns: error (string), finished_at (date-time), input (object), metadata (object), mission_id (uuid), result_payload (object), result_summary (string), run_id (uuid), started_at (date-time), status (enum: pending, running, paused, succeeded, failed, cancelled), updated_at (date-time)

Start a run

Start a new run for a mission

POST /ai/missions/{mission_id}/runs

Optional: input (object), metadata (object)

python
run = client.ai.missions.runs.create(
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(run.data)

Returns: error (string), finished_at (date-time), input (object), metadata (object), mission_id (uuid), result_payload (object), result_summary (string), run_id (uuid), started_at (date-time), status (enum: pending, running, paused, succeeded, failed, cancelled), updated_at (date-time)

Get run details

Get details of a specific run

GET /ai/missions/{mission_id}/runs/{run_id}

python
run = client.ai.missions.runs.retrieve(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(run.data)

Returns: error (string), finished_at (date-time), input (object), metadata (object), mission_id (uuid), result_payload (object), result_summary (string), run_id (uuid), started_at (date-time), status (enum: pending, running, paused, succeeded, failed, cancelled), updated_at (date-time)

Update run

Update run status and/or result

PATCH /ai/missions/{mission_id}/runs/{run_id}

Optional: error (string), metadata (object), result_payload (object), result_summary (string), status (enum: pending, running, paused, succeeded, failed, cancelled)

python
run = client.ai.missions.runs.update(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(run.data)

Returns: error (string), finished_at (date-time), input (object), metadata (object), mission_id (uuid), result_payload (object), result_summary (string), run_id (uuid), started_at (date-time), status (enum: pending, running, paused, succeeded, failed, cancelled), updated_at (date-time)

Cancel run

Cancel a running or paused run

POST /ai/missions/{mission_id}/runs/{run_id}/cancel

python
response = client.ai.missions.runs.cancel_run(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response.data)

Returns: error (string), finished_at (date-time), input (object), metadata (object), mission_id (uuid), result_payload (object), result_summary (string), run_id (uuid), started_at (date-time), status (enum: pending, running, paused, succeeded, failed, cancelled), updated_at (date-time)

List events

List events for a run (paginated)

GET /ai/missions/{mission_id}/runs/{run_id}/events

python
page = client.ai.missions.runs.events.list(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
page = page.data[0]
print(page.event_id)

Returns: agent_id (string), event_id (string), idempotency_key (string), payload (object), run_id (string), step_id (string), summary (string), timestamp (date-time), type (enum: status_change, step_started, step_completed, step_failed, tool_call, tool_result, message, error, custom)

Show full SKILL.md (467 more words)Show less

Log event

Log an event for a run

POST /ai/missions/{mission_id}/runs/{run_id}/events — Required: type, summary

Optional: agent_id (string), idempotency_key (string), payload (object), step_id (string)

python
response = client.ai.missions.runs.events.log(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    summary="Brief task summary",
    type="status_change",
)
print(response.data)

Returns: agent_id (string), event_id (string), idempotency_key (string), payload (object), run_id (string), step_id (string), summary (string), timestamp (date-time), type (enum: status_change, step_started, step_completed, step_failed, tool_call, tool_result, message, error, custom)

Get event details

Get details of a specific event

GET /ai/missions/{mission_id}/runs/{run_id}/events/{event_id}

python
response = client.ai.missions.runs.events.get_event_details(
    event_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response.data)

Returns: agent_id (string), event_id (string), idempotency_key (string), payload (object), run_id (string), step_id (string), summary (string), timestamp (date-time), type (enum: status_change, step_started, step_completed, step_failed, tool_call, tool_result, message, error, custom)

Pause run

Pause a running run

POST /ai/missions/{mission_id}/runs/{run_id}/pause

python
response = client.ai.missions.runs.pause_run(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response.data)

Returns: error (string), finished_at (date-time), input (object), metadata (object), mission_id (uuid), result_payload (object), result_summary (string), run_id (uuid), started_at (date-time), status (enum: pending, running, paused, succeeded, failed, cancelled), updated_at (date-time)

Get plan

Get the plan (all steps) for a run

GET /ai/missions/{mission_id}/runs/{run_id}/plan

python
plan = client.ai.missions.runs.plan.retrieve(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(plan.data)

Returns: completed_at (date-time), description (string), metadata (object), parent_step_id (string), run_id (uuid), sequence (integer), started_at (date-time), status (enum: pending, in_progress, completed, skipped, failed), step_id (string)

Create initial plan

Create the initial plan for a run

POST /ai/missions/{mission_id}/runs/{run_id}/plan — Required: steps

python
plan = client.ai.missions.runs.plan.create(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    steps=[{
        "description": "description",
        "sequence": 0,
        "step_id": "step_id",
    }],
)
print(plan.data)

Returns: completed_at (date-time), description (string), metadata (object), parent_step_id (string), run_id (uuid), sequence (integer), started_at (date-time), status (enum: pending, in_progress, completed, skipped, failed), step_id (string)

Add step(s) to plan

Add one or more steps to an existing plan

POST /ai/missions/{mission_id}/runs/{run_id}/plan/steps — Required: steps

python
response = client.ai.missions.runs.plan.add_steps_to_plan(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    steps=[{
        "description": "description",
        "sequence": 0,
        "step_id": "step_id",
    }],
)
print(response.data)

Returns: completed_at (date-time), description (string), metadata (object), parent_step_id (string), run_id (uuid), sequence (integer), started_at (date-time), status (enum: pending, in_progress, completed, skipped, failed), step_id (string)

Get step details

Get details of a specific plan step

GET /ai/missions/{mission_id}/runs/{run_id}/plan/steps/{step_id}

python
response = client.ai.missions.runs.plan.get_step_details(
    step_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response.data)

Returns: completed_at (date-time), description (string), metadata (object), parent_step_id (string), run_id (uuid), sequence (integer), started_at (date-time), status (enum: pending, in_progress, completed, skipped, failed), step_id (string)

Update step status

Update the status of a plan step

PATCH /ai/missions/{mission_id}/runs/{run_id}/plan/steps/{step_id}

Optional: metadata (object), status (enum: pending, in_progress, completed, skipped, failed)

python
response = client.ai.missions.runs.plan.update_step(
    step_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response.data)

Returns: completed_at (date-time), description (string), metadata (object), parent_step_id (string), run_id (uuid), sequence (integer), started_at (date-time), status (enum: pending, in_progress, completed, skipped, failed), step_id (string)

Resume run

Resume a paused run

POST /ai/missions/{mission_id}/runs/{run_id}/resume

python
response = client.ai.missions.runs.resume_run(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response.data)

Returns: error (string), finished_at (date-time), input (object), metadata (object), mission_id (uuid), result_payload (object), result_summary (string), run_id (uuid), started_at (date-time), status (enum: pending, running, paused, succeeded, failed, cancelled), updated_at (date-time)

List linked Telnyx agents

List all Telnyx agents linked to a run

GET /ai/missions/{mission_id}/runs/{run_id}/telnyx-agents

python
telnyx_agents = client.ai.missions.runs.telnyx_agents.list(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(telnyx_agents.data)

Returns: created_at (date-time), run_id (string), telnyx_agent_id (string)

Link a Telnyx AI agent (voice/messaging) to a run

POST /ai/missions/{mission_id}/runs/{run_id}/telnyx-agents — Required: telnyx_agent_id

python
response = client.ai.missions.runs.telnyx_agents.link(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    telnyx_agent_id="550e8400-e29b-41d4-a716-446655440000",
)
print(response.data)

Returns: created_at (date-time), run_id (string), telnyx_agent_id (string)

Unlink a Telnyx agent from a run

DELETE /ai/missions/{mission_id}/runs/{run_id}/telnyx-agents/{telnyx_agent_id}

python
client.ai.missions.runs.telnyx_agents.unlink(
    telnyx_agent_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)

List tools

List all tools for a mission

GET /ai/missions/{mission_id}/tools

python
response = client.ai.missions.tools.list_tools(
    "mission_id",
)
print(response)

Create tool

Create a new tool for a mission

POST /ai/missions/{mission_id}/tools

python
response = client.ai.missions.tools.create_tool(
    "mission_id",
)
print(response)

Get tool

Get a specific tool by ID

GET /ai/missions/{mission_id}/tools/{tool_id}

python
response = client.ai.missions.tools.get_tool(
    tool_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)
print(response)

Update tool

Update a tool definition

PUT /ai/missions/{mission_id}/tools/{tool_id}

python
response = client.ai.missions.tools.update_tool(
    tool_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)
print(response)

Delete tool

Delete a tool from a mission

DELETE /ai/missions/{mission_id}/tools/{tool_id}

python
client.ai.missions.tools.delete_tool(
    tool_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)

© majiayu000, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/api/telnyx-missions-python of majiayu000/claude-skill-registry.

  • SKILL.md
  • metadata.json

Open the folder on GitHubat commit 2d14a69

Used in 1 other repository

We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Telnyx Missions Python next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Telnyx Missions Python compared with similar skills
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Telnyx Missions Python this skillmajiayu000/claude-skill-registry6661 repos~5.1kAutomated safety check: PassMIT
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Auto Memorytractorjuice/arc-kit2.3k—~1.7kAutomated safety check: PassCustom licence
OutlineVortiago/mcp-outline156—~818Automated safety check: PassMIT
Kb Workflowwillynikes2/knowledge-base-server182—~1.1kAutomated safety check: PassMIT
Forgetful File StorageScottRBK/forgetful301—~618Automated safety check: PassMIT

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Questions about Telnyx Missions Python

What does Telnyx Missions Python do?

Create and manage Telnyx Missions — automated workflows, tasks, and sub-resources for AI-driven telecom operations. Telnyx Missions Python is an agent skill from majiayu000/claude-skill-registry. Create and manage Telnyx Missions — automated workflows, tasks, and sub-resources for AI-driven telecom operations.

When should I use Telnyx Missions Python?

Telnyx Missions Python fits situations like: tasks that involve Knowledge bases.

How do I install Telnyx Missions Python in Claude Code?

Run `npx skills add majiayu000/claude-skill-registry --skill telnyx-missions-python -a claude-code`. Or copy the skill folder (skills/api/telnyx-missions-python in majiayu000/claude-skill-registry) into .claude/skills/telnyx-missions-python in your project. Claude Code loads it when a task matches its description.

How do I install Telnyx Missions Python in Codex?

Run `npx skills add majiayu000/claude-skill-registry --skill telnyx-missions-python -a codex`. Or copy the skill folder (skills/api/telnyx-missions-python in majiayu000/claude-skill-registry) into .agents/skills/telnyx-missions-python in your project. Codex loads it when a task matches its description.

Can I use Telnyx Missions Python in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add majiayu000/claude-skill-registry --skill telnyx-missions-python -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/telnyx-missions-python, .gemini/skills/telnyx-missions-python, .github/skills/telnyx-missions-python and .opencode/skills/telnyx-missions-python in your project.

What does Telnyx Missions Python need to run?

Going by SKILL.md and its folder, Telnyx Missions Python needs the command-line tools its instructions call (pip) and credentials named TELNYX_API_KEY. Our summary lists: Python 3; A credential in TELNYX_API_KEY.

Does Telnyx Missions Python access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Telnyx Missions Python safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Telnyx Missions Python use?

Telnyx Missions Python is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Telnyx Missions Python use?

About 5.1k tokens (SKILL.md is roughly 20k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Telnyx Missions Python?

Skills that share tags, products or a category with Telnyx Missions Python: Context Mode Indexer (mksglu/context-mode, 26k stars), Auto Memory (tractorjuice/arc-kit, 2.3k stars), Outline (Vortiago/mcp-outline, 156 stars) and Kb Workflow (willynikes2/knowledge-base-server, 182 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Telnyx Missions Python?

majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 1,273 skills in this directory. The repository was last updated on October 7, 2026.

Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.