OpenClaw Skills: The Complete Guide to Finding, Building, and Publishing AI Agent Skills

The first complete field manual for AI Agent Skills - the open SKILL.md standard that Anthropic published in December 2025 and OpenAI adopted shortly after. Master the full lifecycle on OpenClaw, the open-source reference implementation, with 101 chapters of copy-paste-ready recipes. Every other book on the shelf stops at "build an agent." This one goes further: it shows you how to find skills worth installing, vet them for real-world security risks, build your own from a blank SKILL.md, and publish them to ... Read More

The first complete field manual for AI Agent Skills - the open SKILL.md standard that Anthropic published in December 2025 and OpenAI adopted shortly after. Master the full lifecycle on OpenClaw, the open-source reference implementation, with 101 chapters of copy-paste-ready recipes. Every other book on the shelf stops at "build an agent." This one goes further: it shows you how to find skills worth installing, vet them for real-world security risks, build your own from a blank SKILL.md, and publish them to ClawHub where other developers can discover and use them. Whether you have never written a SKILL.md or you are already shipping skills to a team registry, the progressive 9-part structure meets you where you are. What you will learn Finding: Navigate ClawHub vector search, decode the new Verified Publisher badge, compare similar skills, and build a personal wishlist before you hit install. Vetting: Run the 5-minute rapid security assessment, scan with VirusTotal and Bitdefender AI Skills Checker, sandbox untrusted skills in Docker, and verify Ed25519 signatures. Installing: Use clawhub install , gh skill , pinned versions, per-agent workspace skills, and clean import/export of your configuration across machines. Building: Author your first SKILL.md in 15 minutes, then level up with MCP server wrappers, TaskFlows webhooks, Memory-Wiki integration, and the RED-GREEN-REFACTOR workflow. Recipes: Standup summarizer, git commit generator, price scraper, meeting notes formatter, and a production blueprint combining TaskFlows, Memory-Wiki, and MCP. Testing: The five levels of skill testing, smoke-test transcripts, token-budget tuning, latency measurement with openclaw infer , and reproducible transcript diffs. Publishing: The 13-point pre-publish quality gate, earning the Verified badge, writing descriptions that win vector search, and shipping updates without breaking existing installs. Who this book is for Developers, power users, and AI enthusiasts in the US and Europe who want a precise, CLI-focused manual packed with immediately usable skill files. Mixed-level readers welcome: Part I gives a brief prerequisites recap, then the book climbs steadily from fundamentals to advanced MCP integration patterns. What is new in the Revised April 2026 Edition Roughly 40% new chapters reflecting post-March-2026 developments: the OpenClaw Foundation and Cline grant, ClawHub's Verified Publisher badge, evolved security tooling (ClawSecure, ClawDefend, ClawScan), the March CVE batch, and the ClawHavoc malicious-skill incident post-mortem. Refreshed MCP integration chapters covering McPorter, stdio vs SSE transports, detached runtime registration, and the new openclaw infer unified CLI. Every command, URL, config option, and statistic verified against OpenClaw as of April 2026. Why this book stands apart No competing Amazon title covers the full find / vet / install / build / publish arc for Agent Skills. Most stop at "run locally." This book treats skills as publishable, shareable artefacts - the way experienced practitioners actually ship them in 2026. Keywords readers search: Claude Code, Claude Agent SDK, MCP, Model Context Protocol, agentic AI, AI agents, Anthropic, agent skills, SKILL.md, skills.sh, AI coding assistant. Scroll up, click Buy Now, and start shipping skills today. Read Less