MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Create a new Python invoke task for the dda CLI. An agent skill from DataDog/datadog-agent.
$ npx skills add DataDog/datadog-agent --skill create-invoke-task -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install DataDog/datadog-agent create-invoke-task --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/DataDog/datadog-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/create-invoke-task .claude/skills/create-invoke-task && 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 "create-invoke-task" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/create-invoke-task into .claude/skills/create-invoke-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-invoke-task", 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/DataDog/datadog-agent/tree/main/.agents/skills/create-invoke-taskType 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 DataDog/datadog-agent --skill create-invoke-task -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install DataDog/datadog-agent create-invoke-task --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/create-invoke-task .agents/skills/create-invoke-task && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "create-invoke-task" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/create-invoke-task into .agents/skills/create-invoke-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-invoke-task", 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 DataDog/datadog-agent --skill create-invoke-task -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install DataDog/datadog-agent create-invoke-task --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/create-invoke-task .cursor/skills/create-invoke-task && 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 "create-invoke-task" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/create-invoke-task into .cursor/skills/create-invoke-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-invoke-task", 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/DataDog/datadog-agent.git --path .agents/skills/create-invoke-task--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 DataDog/datadog-agent --skill create-invoke-task -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install DataDog/datadog-agent create-invoke-task --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/create-invoke-task .gemini/skills/create-invoke-task && 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 "create-invoke-task" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/create-invoke-task into .gemini/skills/create-invoke-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-invoke-task", 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 DataDog/datadog-agent create-invoke-taskInstalls 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 DataDog/datadog-agent --skill create-invoke-task -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/create-invoke-task .github/skills/create-invoke-task && 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 "create-invoke-task" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/create-invoke-task into .github/skills/create-invoke-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-invoke-task", 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 DataDog/datadog-agent --skill create-invoke-task -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install DataDog/datadog-agent create-invoke-task --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/create-invoke-task .opencode/skills/create-invoke-task && 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 "create-invoke-task" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/create-invoke-task into .opencode/skills/create-invoke-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-invoke-task", 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.
create-invoke-taskCreate a new Python invoke task for the dda CLI. An agent skill from DataDog/datadog-agent.
Create Invoke Task is an agent skill from DataDog/datadog-agent, published by the product's own GitHub organization. Create a new Python invoke task for the dda CLI
Its SKILL.md is about 610 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with Python. The repository describes itself as: Main repository for Datadog Agent. The licence is Apache-2.0.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 20eff25. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
BashReadWriteEditGlobGrepAskUserQuestionFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Create Invoke Task loads about 606 tokens when it runs. Until then it costs about 17 tokens; SKILL.md has 287 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 noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Bash, Read, Write, Edit, Glob, Grep, AskUserQuestionAutomated 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 DataDog/datadog-agent at commit 20eff25, republished under its Apache-2.0 licence (© DataDog). 287 words, ~606 tokens.
.claude/skills/create-invoke-task/SKILL.md (or your agent's skills folder).Create a new invoke task accessible via dda inv <namespace>.<task-name>.
Use AskUserQuestion to collect the following. If $ARGUMENTS provides values, skip those questions.
Task name: The function name (e.g. build, refresh_assets). Underscores become hyphens in the CLI.
Namespace: Which task module does it belong to?
tasks/ (e.g. agent, linter, dogstatsd). Check tasks/__init__.py for the full list.tasks/<name>.py file and register it.What does the task do?: Brief description (becomes the docstring / help text).
Parameters: What CLI flags does the task need? (name, type, default value, description)
Read an existing task file matching the desired complexity:
tasks/auth.pytasks/agent.py or tasks/linter.pytasks/__init__.py — to see how modules and tasks are registeredAdd the @task decorated function to the appropriate file. Follow the patterns from Step 2.
Key rules:
ctx (the invoke Context)ctx.run("command") to execute shell commandsdda inv --listinvoke: task, Exit (for errors), ContextIf you created a new module file, edit tasks/__init__.py:
from tasks import (...) block (alphabetical order)ns.add_collection(<module>) — creates dda inv <module>.<task>ns.add_task(<task>) — creates dda inv <task>If adding to an existing module, no registration is needed — invoke auto-discovers @task functions.
Test the task:
dda inv <namespace>.<task-name> --help/create-invoke-task — Interactive: prompts for all details/create-invoke-task agent my-task — Pre-fills namespace and name© DataDog, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/create-invoke-task of DataDog/datadog-agent.
Open the folder on GitHubat commit 20eff25
Create Invoke Task 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 |
|---|---|---|---|---|---|---|
| Create Invoke Task this skillDataDog/datadog-agent | 3.8k | — | ~606 | Automated safety check: Notes | Apache-2.0 | |
| MCP Server Builderanthropics/skills | 180k | 64 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| PDF Processinganthropics/skills | 180k | 48 repos | ~2k | Automated safety check: Pass | Proprietary | |
| NotebookLM Research AssistantPleasePrompto/notebooklm-skill | 7.8k | 14 repos | ~2.4k | Automated safety check: Notes | MIT | |
| Manim Video Productionbrowser-use/video-use | 28k | 6 repos | ~3k | Automated safety check: Pass | MIT | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
anthropics/skills
Handles everyday PDF jobs in Python and on the command line: extract text and tables, merge, split, rotate, watermark, fill forms, encrypt and OCR.
PleasePrompto/notebooklm-skill
Lets Claude Code ask questions of your Google NotebookLM notebooks through browser automation and return answers grounded in your uploaded sources.
browser-use/video-use
Produces math and technical explainer videos with Manim Community Edition: concept animations, equation derivations, algorithm walkthroughs and data stories.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
hugohe3/ppt-master
Generates editable PowerPoint decks, rebuilds slides from images, fills .pptx templates and polishes existing presentations through routed workflows.
DataDog/datadog-agent
Classify a failed CI as either caused by an active incident, flakiness, or a true code regression.
DataDog/datadog-agent
Run a structured discovery session to build an Allium specification through conversation.
DataDog/datadog-agent
Monitor the current PR's GitLab pipeline to completion, then report success, auto-fix, or investigate a failure.
DataDog/datadog-agent
A skill your agent uses when an engineer or manager asks to recap, summarize, or post an update on a Jira Epic — a progress update for an in-progress Epic (how far along it is, what's shipped so…
DataDog/datadog-agent
Explains a lading.yaml config file from the regression test suite, using the lading Rust source as ground truth for field meanings and defaults.
DataDog/datadog-agent
Extract an Allium specification from an existing codebase. An agent skill from DataDog/datadog-agent.
Works with
Create a new Python invoke task for the dda CLI. An agent skill from DataDog/datadog-agent. Create Invoke Task is an agent skill from DataDog/datadog-agent, published by the product's own GitHub organization.
Run `npx skills add DataDog/datadog-agent --skill create-invoke-task -a claude-code`. Or copy the skill folder (.agents/skills/create-invoke-task in DataDog/datadog-agent) into .claude/skills/create-invoke-task in your project. Claude Code loads it when a task matches its description.
Run `npx skills add DataDog/datadog-agent --skill create-invoke-task -a codex`. Or copy the skill folder (.agents/skills/create-invoke-task in DataDog/datadog-agent) into .agents/skills/create-invoke-task 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 DataDog/datadog-agent --skill create-invoke-task -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/create-invoke-task, .gemini/skills/create-invoke-task, .github/skills/create-invoke-task and .opencode/skills/create-invoke-task in your project.
SKILL.md names no scripts, command-line tools or credentials: Create Invoke Task is instructions for the agent only. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash, Read, Write, Edit, Glob, Grep, AskUserQuestion.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Create Invoke Task is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 606 tokens (SKILL.md is roughly 2.4k 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 Create Invoke Task: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
DataDog (a GitHub organization, an official publisher) maintains it in DataDog/datadog-agent, which has 3,757 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on October 8, 2026.
Source: DataDog/datadog-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.