Production-grade engineering skills for AI coding agents.
$ npx skills add addyosmani/agent-skillsComparison
AgentSkills.io is a useful reference for the skill concept. OpenAgentSkill is built as the registry layer: agents can query, rank, compare, and install skills for real tasks.
| Signal | OpenAgentSkill | AgentSkills.io |
|---|---|---|
| Core idea | A searchable registry and install layer that helps agents discover, compare, and use reusable skills. | A strong conceptual and documentation hub around the Agent Skills format and ecosystem. |
| Primary user | Agents and builders who need ranked skill shortlists for a concrete task. | Humans learning the specification, concepts, and examples around agent skills. |
| Agent API | Registry endpoints for search, recommendation, manifest, install handoff, audits, packs, and rankings. | Documentation-first browsing and reference material. |
| Evaluation model | GitHub stars, freshness, quality score, trust checks, audit warnings, use-case fit, and install readiness. | Useful ecosystem context, but less focused on side-by-side decision scoring. |
| Best for | Task-to-skill selection, SEO landing pages, agent-readable metadata, and install workflow handoff. | Understanding what Agent Skills are and why the format matters. |
| Positioning | The skill layer for AI agents: discover, compare, install, and compose skills automatically. Think npm for AI Agent Skills. | A reference destination for the skill concept and examples. |
Registry
Search, recommend, fetch manifests, and return install handoffs.
Compare
Compare registry discovery with CLI-centered distribution.
SEO
Turn task intent into ranked, installable shortlists.
Real skill shortlist
Each row below is a real indexed skill with quality, Trust Score, audit risk, and an install handoff. This is the practical layer agents need before choosing what to run.
Production-grade engineering skills for AI coding agents.
$ npx skills add addyosmani/agent-skillsGuidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
$ npx skills add anthropics/skills --skill frontend-designDesign and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
$ npx skills add Leonxlnx/taste-skill --skill design-taste-frontendAll Algorithms implemented in Python
$ npx skills add TheAlgorithms/PythonPython tool for converting files and office documents to Markdown.
$ npx skills add microsoft/markitdownThe API to search, scrape, and interact with the web at scale. ๐ฅ
$ npx skills add firecrawl/firecrawlBring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
$ npx skills add d3/d3A tool that converts codebases, SQL schemas, and other files into queryable knowledge graphs for AI coding assistants.
$ npx skills add Graphify-Labs/graphifyComparison
AgentSkills.io is a useful reference for the skill concept. OpenAgentSkill is built as the registry layer: agents can query, rank, compare, and install skills for real tasks.
| Signal | OpenAgentSkill | AgentSkills.io |
|---|---|---|
| Core idea | A searchable registry and install layer that helps agents discover, compare, and use reusable skills. | A strong conceptual and documentation hub around the Agent Skills format and ecosystem. |
| Primary user | Agents and builders who need ranked skill shortlists for a concrete task. | Humans learning the specification, concepts, and examples around agent skills. |
| Agent API | Registry endpoints for search, recommendation, manifest, install handoff, audits, packs, and rankings. | Documentation-first browsing and reference material. |
| Evaluation model | GitHub stars, freshness, quality score, trust checks, audit warnings, use-case fit, and install readiness. | Useful ecosystem context, but less focused on side-by-side decision scoring. |
| Best for | Task-to-skill selection, SEO landing pages, agent-readable metadata, and install workflow handoff. | Understanding what Agent Skills are and why the format matters. |
| Positioning | The skill layer for AI agents: discover, compare, install, and compose skills automatically. Think npm for AI Agent Skills. | A reference destination for the skill concept and examples. |
Registry
Search, recommend, fetch manifests, and return install handoffs.
Compare
Compare registry discovery with CLI-centered distribution.
SEO
Turn task intent into ranked, installable shortlists.
Real skill shortlist
Each row below is a real indexed skill with quality, Trust Score, audit risk, and an install handoff. This is the practical layer agents need before choosing what to run.
Production-grade engineering skills for AI coding agents.
$ npx skills add addyosmani/agent-skillsGuidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
$ npx skills add anthropics/skills --skill frontend-designDesign and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
$ npx skills add Leonxlnx/taste-skill --skill design-taste-frontendAll Algorithms implemented in Python
$ npx skills add TheAlgorithms/PythonPython tool for converting files and office documents to Markdown.
$ npx skills add microsoft/markitdownThe API to search, scrape, and interact with the web at scale. ๐ฅ
$ npx skills add firecrawl/firecrawlBring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
$ npx skills add d3/d3A tool that converts codebases, SQL schemas, and other files into queryable knowledge graphs for AI coding assistants.
$ npx skills add Graphify-Labs/graphify