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-skillsOpen Source Alternative to Vercel, Netlify and Heroku.
$ npx skills add Dokploy/dokployOpen-source LLM-friendly web crawler and scraper
$ npx skills add unclecode/crawl4aiA tool that converts codebases, SQL schemas, and other files into queryable knowledge graphs for AI coding assistants.
$ npx skills add Graphify-Labs/graphifyReview a branch or diff against repository standards and the originating spec in two independent analysis passes.
$ npx skills add mattpocock/skills --skill code-reviewA relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.
$ npx skills add mattpocock/skills --skill grill-with-docsTurn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.
$ npx skills add mattpocock/skills --skill to-specGuidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
$ npx skills add anthropics/skills --skill frontend-designComparison
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-skillsOpen Source Alternative to Vercel, Netlify and Heroku.
$ npx skills add Dokploy/dokployOpen-source LLM-friendly web crawler and scraper
$ npx skills add unclecode/crawl4aiA tool that converts codebases, SQL schemas, and other files into queryable knowledge graphs for AI coding assistants.
$ npx skills add Graphify-Labs/graphifyReview a branch or diff against repository standards and the originating spec in two independent analysis passes.
$ npx skills add mattpocock/skills --skill code-reviewA relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.
$ npx skills add mattpocock/skills --skill grill-with-docsTurn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.
$ npx skills add mattpocock/skills --skill to-specGuidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
$ npx skills add anthropics/skills --skill frontend-design