Context Mode Indexer
mksglu/context-mode
Indexes a local file or project directory into context-mode's FTS5 knowledge base so later searches return focused snippets instead of rereading whole files.
Create and manage Telnyx Missions — automated workflows, tasks, and sub-resources for AI-driven telecom operations.
$ npx skills add majiayu000/claude-skill-registry --skill telnyx-missions-python -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install majiayu000/claude-skill-registry telnyx-missions-python --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "telnyx-missions-python" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/api/telnyx-missions-python into .claude/skills/telnyx-missions-python/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telnyx-missions-python", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/majiayu000/claude-skill-registry/tree/main/skills/api/telnyx-missions-pythonType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add majiayu000/claude-skill-registry --skill telnyx-missions-python -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install majiayu000/claude-skill-registry telnyx-missions-python --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/api/telnyx-missions-python .agents/skills/telnyx-missions-python && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "telnyx-missions-python" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/api/telnyx-missions-python into .agents/skills/telnyx-missions-python/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telnyx-missions-python", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add majiayu000/claude-skill-registry --skill telnyx-missions-python -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install majiayu000/claude-skill-registry telnyx-missions-python --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/api/telnyx-missions-python .cursor/skills/telnyx-missions-python && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "telnyx-missions-python" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/api/telnyx-missions-python into .cursor/skills/telnyx-missions-python/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telnyx-missions-python", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/majiayu000/claude-skill-registry.git --path skills/api/telnyx-missions-python--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add majiayu000/claude-skill-registry --skill telnyx-missions-python -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install majiayu000/claude-skill-registry telnyx-missions-python --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/api/telnyx-missions-python .gemini/skills/telnyx-missions-python && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "telnyx-missions-python" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/api/telnyx-missions-python into .gemini/skills/telnyx-missions-python/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telnyx-missions-python", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install majiayu000/claude-skill-registry telnyx-missions-pythonInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add majiayu000/claude-skill-registry --skill telnyx-missions-python -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/api/telnyx-missions-python .github/skills/telnyx-missions-python && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "telnyx-missions-python" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/api/telnyx-missions-python into .github/skills/telnyx-missions-python/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telnyx-missions-python", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add majiayu000/claude-skill-registry --skill telnyx-missions-python -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install majiayu000/claude-skill-registry telnyx-missions-python --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/api/telnyx-missions-python .opencode/skills/telnyx-missions-python && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "telnyx-missions-python" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/api/telnyx-missions-python into .opencode/skills/telnyx-missions-python/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telnyx-missions-python", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
telnyx-missions-pythonCreate 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. 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.
Read from SKILL.md and the folder at commit 2d14a69. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
pipFrom the folder's file list and the shell code blocks in SKILL.md.
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.
Names these keys or tokens, usually read from environment variables:
TELNYX_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from majiayu000/claude-skill-registry at commit 2d14a69, republished under its MIT licence (© majiayu000). 1,182 words, ~5,062 tokens.
.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.<!-- Auto-generated from Telnyx OpenAPI specs. Do not edit. -->
pip install telnyximport 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.
All API calls can fail with network errors, rate limits (429), validation errors (422), or authentication errors (401). Always handle errors in production code:
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).
for item in page_result: to iterate through all pages automatically.List all missions for the organization
GET /ai/missions
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 a new mission definition
POST /ai/missions — Required: name
Optional: description (string), execution_mode (enum: external, managed), instructions (string), metadata (object), model (string)
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 across all missions
GET /ai/missions/events
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 across all missions
GET /ai/missions/runs
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 a mission by ID (includes tools, knowledge_bases, mcp_servers)
GET /ai/missions/{mission_id}
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 a mission definition
PUT /ai/missions/{mission_id}
Optional: description (string), execution_mode (enum: external, managed), instructions (string), metadata (object), model (string), name (string)
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 a mission
DELETE /ai/missions/{mission_id}
client.ai.missions.delete_mission(
"182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)Clone an existing mission
POST /ai/missions/{mission_id}/clone
response = client.ai.missions.clone_mission(
"mission_id",
)
print(response)List all knowledge bases for a mission
GET /ai/missions/{mission_id}/knowledge-bases
response = client.ai.missions.knowledge_bases.list_knowledge_bases(
"mission_id",
)
print(response)Create a new knowledge base for a mission
POST /ai/missions/{mission_id}/knowledge-bases
response = client.ai.missions.knowledge_bases.create_knowledge_base(
"mission_id",
)
print(response)Get a specific knowledge base by ID
GET /ai/missions/{mission_id}/knowledge-bases/{knowledge_base_id}
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 a knowledge base definition
PUT /ai/missions/{mission_id}/knowledge-bases/{knowledge_base_id}
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 a knowledge base from a mission
DELETE /ai/missions/{mission_id}/knowledge-bases/{knowledge_base_id}
client.ai.missions.knowledge_bases.delete_knowledge_base(
knowledge_base_id="550e8400-e29b-41d4-a716-446655440000",
mission_id="550e8400-e29b-41d4-a716-446655440000",
)List all MCP servers for a mission
GET /ai/missions/{mission_id}/mcp-servers
response = client.ai.missions.mcp_servers.list_mcp_servers(
"mission_id",
)
print(response)Create a new MCP server for a mission
POST /ai/missions/{mission_id}/mcp-servers
response = client.ai.missions.mcp_servers.create_mcp_server(
"mission_id",
)
print(response)Get a specific MCP server by ID
GET /ai/missions/{mission_id}/mcp-servers/{mcp_server_id}
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 an MCP server definition
PUT /ai/missions/{mission_id}/mcp-servers/{mcp_server_id}
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 an MCP server from a mission
DELETE /ai/missions/{mission_id}/mcp-servers/{mcp_server_id}
client.ai.missions.mcp_servers.delete_mcp_server(
mcp_server_id="550e8400-e29b-41d4-a716-446655440000",
mission_id="550e8400-e29b-41d4-a716-446655440000",
)List all runs for a specific mission
GET /ai/missions/{mission_id}/runs
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 new run for a mission
POST /ai/missions/{mission_id}/runs
Optional: input (object), metadata (object)
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 details of a specific run
GET /ai/missions/{mission_id}/runs/{run_id}
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 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)
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 a running or paused run
POST /ai/missions/{mission_id}/runs/{run_id}/cancel
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 for a run (paginated)
GET /ai/missions/{mission_id}/runs/{run_id}/events
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)
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)
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 details of a specific event
GET /ai/missions/{mission_id}/runs/{run_id}/events/{event_id}
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 a running run
POST /ai/missions/{mission_id}/runs/{run_id}/pause
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 the plan (all steps) for a run
GET /ai/missions/{mission_id}/runs/{run_id}/plan
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 the initial plan for a run
POST /ai/missions/{mission_id}/runs/{run_id}/plan — Required: steps
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 one or more steps to an existing plan
POST /ai/missions/{mission_id}/runs/{run_id}/plan/steps — Required: steps
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 details of a specific plan step
GET /ai/missions/{mission_id}/runs/{run_id}/plan/steps/{step_id}
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 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)
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 a paused run
POST /ai/missions/{mission_id}/runs/{run_id}/resume
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 all Telnyx agents linked to a run
GET /ai/missions/{mission_id}/runs/{run_id}/telnyx-agents
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
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}
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 all tools for a mission
GET /ai/missions/{mission_id}/tools
response = client.ai.missions.tools.list_tools(
"mission_id",
)
print(response)Create a new tool for a mission
POST /ai/missions/{mission_id}/tools
response = client.ai.missions.tools.create_tool(
"mission_id",
)
print(response)Get a specific tool by ID
GET /ai/missions/{mission_id}/tools/{tool_id}
response = client.ai.missions.tools.get_tool(
tool_id="550e8400-e29b-41d4-a716-446655440000",
mission_id="550e8400-e29b-41d4-a716-446655440000",
)
print(response)Update a tool definition
PUT /ai/missions/{mission_id}/tools/{tool_id}
response = client.ai.missions.tools.update_tool(
tool_id="550e8400-e29b-41d4-a716-446655440000",
mission_id="550e8400-e29b-41d4-a716-446655440000",
)
print(response)Delete a tool from a mission
DELETE /ai/missions/{mission_id}/tools/{tool_id}
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
SKILL.md and 1 other file in skills/api/telnyx-missions-python of majiayu000/claude-skill-registry.
Open the folder on GitHubat commit 2d14a69
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.
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Telnyx Missions Python this skillmajiayu000/claude-skill-registry | 666 | 1 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Context Mode Indexermksglu/context-mode | 26k | — | ~328 | Automated safety check: Pass | Custom licence | |
| Auto Memorytractorjuice/arc-kit | 2.3k | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| OutlineVortiago/mcp-outline | 156 | — | ~818 | Automated safety check: Pass | MIT | |
| Kb Workflowwillynikes2/knowledge-base-server | 182 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Forgetful File StorageScottRBK/forgetful | 301 | — | ~618 | Automated safety check: Pass | MIT |
mksglu/context-mode
Indexes a local file or project directory into context-mode's FTS5 knowledge base so later searches return focused snippets instead of rereading whole files.
tractorjuice/arc-kit
This skill should be used when the user asks to 'set up memory', 'create memory files', 'create MEMORY.md', 'set up topic files', 'improve memory organization', 'what should I remember', 'how to…
Vortiago/mcp-outline
Conventions and efficient workflows for Outline knowledge bases via mcp-outline tools.
willynikes2/knowledge-base-server
Use before starting any non-trivial task to search the knowledge base for context, and after completing work to capture findings.
ScottRBK/forgetful
Stores screenshots, PDFs, diagrams, fonts and other binary files in the Forgetful knowledge base, with a retrieval-friendly description and an attachment route.
holon-run/uxc
Use a local QMD knowledge base through UXC over MCP stdio, with daemon-backed session reuse and typed retrieval flows that avoid repeated model warmup and unnecessary query-expansion latency.
majiayu000/claude-skill-registry
Multi-source deep research using firecrawl and exa MCPs. An agent skill from majiayu000/claude-skill-registry.
majiayu000/claude-skill-registry
Neural search via Exa MCP for web, code, and company research.
majiayu000/claude-skill-registry
Unified media generation via fal.ai MCP — image, video, and audio.
majiayu000/claude-skill-registry
Interact with Zotero reference management libraries using the pyzotero Python client.
majiayu000/claude-skill-registry
Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server.
majiayu000/claude-skill-registry
Perform pairwise sequence alignment using Biopython Bio.Align.PairwiseAligner.
Works with
Categories
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.
Telnyx Missions Python fits situations like: tasks that involve Knowledge bases.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.