Agent skill definition
Core idea
A skill can contain instructions, scripts, prompts, examples, metadata, and installation guidance. The useful part is not only the code; it is the reusable decision about how an agent should perform a task.
AgentSkill is a common compact spelling for agent skill. Both usually describe a reusable capability package, while OpenAgentSkill provides the registry and decision layer around those packages.
OpenAgentSkill focuses on the registry layer: helping agents and builders find the right skill, compare alternatives, inspect audit signals, and install with a clear command or repository path.
Agent workflow
Search the registry from a task description or workflow intent.
Check quality, GitHub adoption, freshness, platform fit, and alternatives.
Review risk notes, trust tier, metadata issues, and installation readiness.
Copy the install command or repository path and test the skill in one workflow.
Examples
Collect structured data
Find skills for crawling websites, extracting structured data, monitoring pages, and turning messy web content into agent-ready inputs.
Build and ship code
Discover skills for code generation, repository analysis, pull-request review, testing, debugging, and agentic software engineering.
Search private knowledge
Use these skills to ingest documents, index knowledge, retrieve relevant context, and make agents better at answering with grounded sources.
Operate web apps
Find skills that help agents click through websites, fill forms, test user flows, verify UI state, and interact with browser-based tools.
Investigate faster
Browse skills for market research, web research, summarization, source comparison, report writing, and evidence-backed analysis.
Automate repeated work
Find skills for connecting tools, automating operational tasks, scheduling jobs, processing files, and reducing repetitive manual work.
AgentSkill is a common compact spelling used in searches and product names. In this guide, agent skill means a reusable capability package that an AI agent can discover, evaluate, install, and use for a specific task.
An agent skill is a reusable capability package that helps an AI agent complete a specific task, such as web scraping, code review, document processing, data analysis, browser automation, or workflow automation.
A normal tool is usually called by a human or hard-coded integration. An agent skill is designed to be discovered, evaluated, installed, and reused by AI agents inside a workflow.
A registry lets agents search across reusable skills, compare trust and quality signals, inspect audit data, and choose a skill before installing it.