Why Find‑Skills Leads the Skills.sh Marketplace with 94.1K Installations

Find‑skills, the top‑ranked skill in the Skills.sh ecosystem with 94.1K weekly installs, acts as an app‑store‑style search and install tool for AI agent extensions, and the article explains its core features, six practical scenarios, step‑by‑step installation, real‑world demos, advanced tips, and future outlook.

Shuge Unlimited
Shuge Unlimited
Shuge Unlimited
Why Find‑Skills Leads the Skills.sh Marketplace with 94.1K Installations

1. Skills ecosystem overview

Skills are modular AI‑agent extension packages—think of an agent like Claude Code or Cursor as an operating system and each skill as an app. The official store skills.sh shows rankings and download statistics, while find‑skills serves as the search bar that quickly locates needed skills.

Data shows find‑skills averages 94.1K installations per week, far surpassing the second‑place skill. Platform distribution indicates most installs are on Claude‑code (89.8K, 95.5%), opencode (87.3K, 92.8%), codex (85.5K, 90.9%) and cursor (83.8K, 89.1%), confirming its cross‑platform relevance.

Skills ecosystem overview diagram
Skills ecosystem overview diagram

2. Find‑skills core introduction

Find‑skills is purpose‑built to discover and install skills; it does not create skills itself. Its three core features are intelligent search, interactive selection, and multi‑platform support.

The tool provides four essential commands:

npx skills find [query]    # search skills (interactive or keyword)
 npx skills add <package>   # install a skill
 npx skills check          # check for updates
 npx skills update         # update all installed skills

These commands together satisfy most skill‑management needs.

Technical architecture diagram
Technical architecture diagram

3. Usage scenarios analysis

Find‑skills supports six practical scenarios:

Scenario 1 – User asks "How do I make X faster?" Example: npx skills find react performance returns vercel-react-best-practices.

Scenario 2 – User requests a specific skill Example: npx skills find "PR review" returns relevant PR‑review skills.

Scenario 3 – User asks if a capability exists Example: npx skills find testing suggests testing‑related skills.

Scenario 4 – Extending agent capabilities Use find‑skills to locate new extension packages when existing tools fall short.

Scenario 5 – Searching for tools/templates/workflows Example: searching for "deployment" or "ci‑cd" returns deployment‑related skills.

Scenario 6 – Domain‑specific assistance Skills for design, testing, deployment, etc., are recommended.

Core scenario flowchart
Core scenario flowchart

4. Installation and configuration hands‑on

Environment preparation : Find‑skills requires Node.js 16+. Install the latest LTS version from nodejs.org if needed.

Quick install :

npx skills add vercel-labs/agent-skills@find-skills

One command installs the tool.

Detailed configuration steps :

Project‑local install: the skill is placed under ./<agent>/skills/ and can be committed with the project.

Global install (all projects): add the -g flag, which installs to ~/<agent>/skills/.

Verification : Run npx skills find. If an interactive search UI appears, the installation succeeded.

Common issues are network connectivity (GitHub access) or an outdated Node.js version.

5. Hands‑on demo: three typical cases

Case 1 – React performance optimization npx skills find react performance The command returns vercel-react-best-practices, a skill containing 40+ rules covering bundle size, caching, server‑side rendering, etc. Installing it let Claude automatically audit the code and suggest improvements, reducing first‑paint time from 3.2 s to 1.8 s in the author’s project.

Case 2 – PR review automation npx skills find pr review Results include a test‑driven‑development skill and a PR‑review automation skill. After installation, PR checks for code‑quality issues, bugs, and best‑practice violations, cutting review time from ~30 minutes to ~10 minutes.

Case 3 – Changelog generator npx skills find changelog The returned skill changelog-generator creates changelogs from git history in Markdown, JSON, or HTML, categorising commits (feat, fix, docs, etc.). The team now generates a changelog with a single command per release.

Hands‑on demonstration image
Hands‑on demonstration image

6. Advanced tips and best practices

Search tips :

Choose specific keywords (e.g., "react testing" instead of generic "testing").

Try synonyms (e.g., "deployment" if "deploy" yields no results).

Combine terms to narrow scope (e.g., "typescript async").

Skill management :

Run npx skills check weekly to discover updates.

Run npx skills update to batch‑update all skills, reviewing changelogs for breaking changes.

Remove unused skills with npx skills list followed by npx skills remove <skill>.

When a skill is not found :

Change search terms or use synonyms.

Browse popular skill repositories such as vercel-labs/agent-skills and ComposioHQ/awesome-claude-skills.

Create a custom skill using the simple SKILL.md format.

Ask the community on GitHub, Discord, or Reddit.

7. Summary and outlook

Find‑skills solves the core pain point of “discovering skills” in a rapidly expanding AI‑agent ecosystem. A single command can locate the right extension, saving considerable time and effort.

Future directions include smarter, usage‑based recommendations; a vastly richer skill catalog (potentially thousands of skills); and enterprise‑grade features such as permission management, audit logs, and internal skill marketplaces.

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Shuge Unlimited
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Shuge Unlimited

Formerly "Ops with Skill", now officially upgraded. Fully dedicated to AI, we share both the why (fundamental insights) and the how (practical implementation). From technical operations to breakthrough thinking, we help you understand AI's transformation and master the core abilities needed to shape the future. ShugeX: boundless exploration, skillful execution.

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