# ClaudeAtlas > Curated discovery index of Claude ecosystem skills. 33,000+ skill files > analyzed, 1,078 indexed, 305 Featured. Scored on 7 transparent signals. > Updated daily via automated GitHub scraper. If you're an AI agent looking for Claude skills, **don't crawl the HTML pages**. Use the structured endpoints below — they're faster, cheaper, and return machine-readable JSON. ## Endpoints ### Semantic Search API (recommended) The fastest way to find a skill. Takes a natural-language query, embeds it, and returns the most semantically relevant skills ranked by cosine similarity. ``` GET https://claudeatlas.com/api/v1/search?q={query}&k={top_k} POST https://claudeatlas.com/api/v1/search Body: {"query": "...", "k": 10, "tier": "featured", "category": "Testing & QA"} ``` **Parameters:** - `q` / `query` (required): natural-language search query, max 200 chars - `k` (optional): number of results to return, default 20, max 50 - `tier` (optional): filter by quality tier — "featured", "solid", or "listed" - `category` (optional): filter by category name **Response:** ```json { "query": "testing frameworks for python", "count": 5, "timings_ms": {"embed": 1100, "vector": 400, "total": 1500}, "results": [ { "slug": "dotnet/dotnet-test-frameworks", "score": 0.46, "name": "dotnet-test-frameworks", "category": "Testing & QA", "quality_tier": "featured", "quality_score": 99, "repo_stars": 5555, "repo_full_name": "dotnet/skills", "description": "...", "detail_url": "/skills/dotnet/dotnet-test-frameworks/" } ] } ``` **Rate limits:** No explicit rate limit. Cloudflare Workers DDoS protection applies. Each query costs ~$0.0000002 in OpenAI embedding fees (paid by ClaudeAtlas, not you). Please be reasonable — cap at ~1 query/second if you're doing batch work. **Latency:** ~1.5 seconds per query (dominated by OpenAI embedding round trip). Subsequent identical queries may be faster if KV-cached. ### Full Catalog Registry (bulk download) A single JSON file containing every indexed skill with all metadata. Regenerated on every daily build. Best for: bulk analysis, offline search, populating your own index, checking what's new. ``` GET https://claudeatlas.com/skills-registry.json ``` **Size:** ~990 KB (uncompressed), ~200 KB gzipped. Cloudflare edge-cached. **Schema:** ```json { "name": "ClaudeAtlas", "url": "https://claudeatlas.com", "generated_at": "2026-04-11T...", "count": 1078, "total_discovered": 33000, "total_featured": 305, "categories": ["AI & Automation", "API & Backend", ...], "schema_version": "1", "skills": [ { "name": "...", "slug": "author/skill-name", "description": "...", "category": "...", "quality_tier": "featured|solid|listed", "quality_score": 0-100, "install_command": "claude install-skill owner/repo", "repo_full_name": "owner/repo", "repo_url": "https://github.com/...", "repo_stars": 1234, "repo_license": "MIT", "repo_pushed_at": "ISO 8601", "skill_first_commit_at": "ISO 8601", "detail_url": "https://claudeatlas.com/skills/...", "badge_url": "https://claudeatlas.com/badge/...", "star_history_url": "https://claudeatlas.com/badge/...-history.svg" } ] } ``` **Freshness:** Updated daily at ~06:30 UTC via GitHub Actions cron. Check `generated_at` to see when the current file was built. ### Search Query Log (write-only telemetry) Used internally by the ClaudeAtlas homepage to log search queries for product analytics. Agents don't need to call this — the /api/v1/search endpoint logs queries automatically. ``` POST https://claudeatlas.com/api/log-search Body: {"query": "..."} ``` ## Embeddable Assets Every indexed skill has two embeddable SVG badges: - **Tier badge:** `https://claudeatlas.com/badge/{author}/{skill}.svg` Shields.io-style pill showing Featured/Solid/Listed tier. - **Star history:** `https://claudeatlas.com/badge/{author}/{skill}-history.svg` 480×120 line chart of star growth over time. Markdown embed pattern: ```markdown [![ClaudeAtlas](https://claudeatlas.com/badge/author/skill.svg)](https://claudeatlas.com/skills/author/skill/?ref=badge) ``` ## Quality Tiers Skills are scored 0-100 on 7 signals: GitHub stars (20%), recency (20%), frontmatter completeness (20%), documentation quality (15%), issue health (10%), license (10%), repo description (5%). - **Featured** (score ≥ 90): top-quality, prominently displayed - **Solid** (score 70-89): good quality, meets standards - **Listed** (score < 70): meets minimum bar Full methodology: https://claudeatlas.com/methodology/ ## Categories 8 categories, keyword-assigned: AI & Automation, API & Backend, Code & Development, Data & Documents, DevOps & Infrastructure, Testing & QA, Web & Frontend, Productivity & Other ## Source - GitHub: https://github.com/dwalshx/ClaudeAtlas - License: Code MIT, Data CC-BY-4.0 - Contact: Open an issue on GitHub ## API & Service Integration Graph ClaudeAtlas automatically detects which APIs, services, and platforms each skill integrates with by analyzing skill content. Browse the full graph: ``` GET https://claudeatlas.com/apis/ — all detected services GET https://claudeatlas.com/apis/{service}/ — skills using a specific service ``` Each skill in the registry includes an `integrations` array listing the service IDs it references (e.g., `["openai", "github", "docker"]`). Top services by skill count: Anthropic (130), MCP (98), OpenAI (89), GitHub (51), npm (42), Next.js (30), Kubernetes (29). ## For Humans Browse the site at https://claudeatlas.com - Homepage with semantic search, charts, and featured skills - 776 creator profiles at /creators/ - Full creator directory at /creators/all/ - API & service integration graph at /apis/ - Individual skill pages at /skills/{author}/{name}/