How I Indexed 2,000 Claude Code Skills (And What the Install Data Says About AI Coding in 2026)
The article discusses the creation of a ranked index for Claude Code skills, which have surged in number. The author built a searchable catalog to address the lack of organization in the existing skills registry. The project highlights the challenges faced in SEO and data management while providing insights into the future of AI coding tools.
- ▪Claude Code skills have exceeded 2,000, covering various domains.
- ▪The author created a ranked, filterable index of these skills based on weekly install volume.
- ▪The catalog is built using a simple architecture with a JSON file and Next.js for rendering.
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Story provenance
Source · retrieval · rights · ranking — open for full record
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Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/shenhuang/how-i-indexed-2000-claude-code-skills-and-what-the-install-data-says-about-ai-coding-in-2026-3k80 |
| Publication time | Sun, 24 May 2026 04:57:53 +0000 |
| Retrieval time | 2026-05-24T05:07:31.040Z |
| Last seen | 2026-05-24T05:07:31.040Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | oOi9WX0vKhW8 · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 936104) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Shen Huang Posted on May 24 How I Indexed 2,000 Claude Code Skills (And What the Install Data Says About AI Coding in 2026) #claude #ai The problem: 2,000 skills, no map Claude Code skills exploded across 2025 and into 2026. The official registry at skills.sh and the parallel ecosystem on GitHub now expose well over 2,000 public skills — covering everything from frontend-design patterns to azure-deploy to nano-banana-pro image generation. The format won.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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