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OpenAI's official data analytics skills: data quality assessment, KPI design, metric anomaly diagnosis, dashboards and analysis reports, market sizing and notebooks. Ships with a Codex plugin; some skills depend on its runtime.

Anthropic's reference implementation for finding and fixing vulnerabilities: Claude Code skills for threat modeling, static scanning, triage and patching, plus an autonomous recon-to-patch pipeline (C/C++ memory bugs by default; needs Docker and gVisor). No longer maintained.

Cuts long videos like podcasts, webinars, livestreams and interviews into captioned vertical shorts, with optional dubbing and publishing to TikTok, YouTube and more. Hosted version needs an API key (free tier is watermarked and time-limited), or self-host with Docker and your own keys.

Manage Kubernetes clusters in natural language: translates intent into kubectl operations and runs them, and can serve as an MCP server for other agents. Uses Gemini by default (API key required) and also supports OpenAI and local models. Maintained by Google Cloud.

Claude Code workspace for long-form SEO blogging: /research, /write, /rewrite and /optimize handle keyword research, drafting, refreshes and pre-publish checks, with SEO, metadata and internal-link subagents. Clone the repo and add brand voice; optional GA4, Search Console and WordPress.

Open-source LLM evaluation platform: one opencompass command picks the model and datasets and runs the evaluation across hundreds of benchmarks. Works with local Hugging Face models and API models, with vLLM and LMDeploy for faster inference.

A more intuitive find-and-replace tool than sed: uses JavaScript/Python-style regex syntax, supports literal string mode and in-place file edits, which suits agents doing bulk text rewrites.

Hands your current browser session to the agent through a Chrome extension: read console logs and network requests, take screenshots, and run Lighthouse performance, accessibility and SEO audits without signing in again.

Converts and two-way syncs Jupyter notebooks with plain Python scripts or Markdown, so agents can edit research and teaching notebooks like ordinary text and diffs stay readable. Needs a local Python environment; install with pip.

Cleans a LaTeX project before arXiv submission: removes comments, auxiliary files and unused .tex files and images, and can compress images, so internal notes are not published with the source. From Google Research; installable with Homebrew on macOS.

Python library and CLI for extracting main web content: fetches pages, crawls via sitemaps and RSS feeds, strips headers, footers and other noise, and outputs TXT, Markdown, JSON, XML and more with metadata. Also processes downloaded HTML offline.

Anthropic's official OS-level sandbox CLI: restricts file and network access for agents, MCP servers and any command without containers, using sandbox-exec on macOS and bubblewrap on Linux. Currently a research preview.

Static security analysis for CI/CD config: finds template injection, credential leaks, excessive permissions and more in GitHub Actions workflows, also covers Dependabot and pre-commit configs, and auto-fixes some findings.

Generates template-driven charts as single-file HTML: picks a chart from real Lupi, Basics, Glance, Maps and Interactive gallery implementations based on data shape, or fills one of 12 Chinese and English report templates. Defaults to Mono grayscale with semantic color presets. Written in Chinese.

Lets coding agents control real Chrome with short Puppeteer scripts, with named pages that keep state across calls, accessibility-tree snapshots and screenshots for self-testing web changes. Install the dev-browser CLI globally first; macOS and glibc Linux only.

14 n8n workflow skills: expression syntax, MCP tool usage, node configuration, validation and troubleshooting, Code nodes, AI Agent workflows and self-hosted n8n deployment. Meant to be used with the n8n-mcp server.

14 skills plus a hook-based reminder layer for use with n8n-mcp: teaches agents to write correct n8n expressions, configure nodes, apply workflow patterns, fix validation errors and deploy self-hosted n8n. Requires n8n-mcp to be set up first.

Lets agents operate Home Assistant: control devices, query state and history, create and debug automations and edit dashboards, with 80+ tools. Community-maintained (unofficial); requires your own Home Assistant instance, and running via uvx needs a long-lived access token.

Lets agents build, run, test and debug iOS and macOS projects and control simulators and physical devices, with a CLI mode too. Formerly XcodeBuildMCP, now maintained by Sentry; macOS only, requires Xcode 16 or later.

Google's official skills for building ADK agents: dev workflow, scaffolding, the ADK Python API, evaluation with LLM judges and adaptive rubrics, deployment to Agent Runtime, Cloud Run or GKE, publishing and observability. Works with agents-cli; local dev needs only an AI Studio key.

ScrapeCreators' official skills: mine public TikTok, Instagram, YouTube, Reddit and X data for viral content, customer voice in comments, competitor accounts and ad libraries, and creator vetting, with sourced reports. Needs a ScrapeCreators key (100 free credits, then pay as you go).

250+ MCP tools for Ghidra: decompilation, cross-references, data-flow analysis, bulk renaming and commenting, P-code emulation and live debugging, with headless mode support. Requires Java 21 and Ghidra 12.1, and the plugin must be built and deployed first.

Docker's official CLI for building images, running and managing containers, viewing logs and pushing to registries, a foundational tool for agents setting up isolated environments. Needs a local or remote Docker Engine such as Docker Desktop.

Community-maintained MCP for Jira and Confluence: search with JQL/CQL and create or update issues, pages and comments. Supports both Cloud and Server/Data Center deployments; needs an API token or personal access token.