agentskills-ioCreate, validate, and publish Agent Skills following the official open standard from agentskills.io. Use when (1) creating new skills for AI agents, (2) validating skill structure and metadata, (3) understanding the Agent Skills specification, (4) converting existing documentation into portable skills, or (5) ensuring cross-platform compatibility with Claude Code, Cursor, GitHub Copilot, and other tools.
Install via ClawdBot CLI:
clawdbot install killerapp/agentskills-ioGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://agentskills.io/specificationAudited Apr 17, 2026 · audit v1.0
Generated Mar 1, 2026
An agency builds custom AI agent skills for clients across industries, using the package to create, validate, and publish skills that integrate with tools like Claude Code and GitHub Copilot. This ensures cross-platform compatibility and adherence to the open standard, streamlining client deployments.
A large corporation adopts the package to convert internal documentation into portable skills for AI agents, enabling employees to use them with various AI tools. This improves productivity by ensuring consistent skill structure and validation for use in development environments like VS Code and Cursor.
A community-driven project uses the package to maintain a repository of AI agent skills, leveraging batch validation and versioning scripts to ensure quality. Contributors create and validate skills following the specification, making them shareable via symlinks across platforms like Claude Code and OpenAI integrations.
An online learning platform employs the package to teach students how to build AI agent skills, using the minimal example and writing rules for hands-on exercises. Students validate their skills and test them with AI agents, preparing for careers in AI development and tool integration.
A freelance consultant uses the package to quickly create and validate skills for clients, following the quick workflow to ensure proper frontmatter and structure. This allows for rapid iteration and testing with AI agents, delivering portable skills compatible with tools like Cursor and GitHub Copilot.
Offer paid services to create, validate, and publish custom AI agent skills for businesses, leveraging the package's validation and cross-platform features. Revenue comes from project-based fees or subscriptions for ongoing skill maintenance and updates.
Operate a marketplace where developers can sell or share validated AI agent skills built with the package, taking a commission on transactions. Use the package's batch validation to ensure quality and compatibility with tools like Claude Code and VS Code.
Provide training courses and certification programs on using the package to build AI agent skills, targeting developers and enterprises. Revenue is generated from course fees, certification exams, and corporate training packages.
💬 Integration Tip
Use symlinks to share skills across tools like Claude Code and VS Code, and validate skills regularly with the provided commands to ensure compatibility.
Scored Apr 19, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.
A unified OpenClaw skill that merges self-improvement and proactivity: learn from corrections, maintain active state, recover context fast, and keep work mov...
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Automatically assess task complexity and adjust reasoning level. Triggers on every user message to evaluate whether extended thinking (reasoning mode) would improve response quality. Use this as a pre-processing step before answering complex questions.
Associative memory with spreading activation for persistent, intelligent recall. Use PROACTIVELY when: (1) You need to remember facts, decisions, errors, or...