hunter

Discover and score Claude Code skills from public sources for database merging.

Updated Apr 14, 2026
One-click install
npx skills add https://github.com/somachak/claude-code-skills-db --skill hunter-somachak
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hunter
Source: https://github.com/somachak/claude-code-skills-db/tree/main/hunter
Command: npx skills add https://github.com/somachak/claude-code-skills-db --skill hunter-somachak

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pyyaml.

What problem does it solve?

Daily pipeline that discovers Claude Code skills on the public web, scores them against a strict quality rubric, and merges eligible candidates into the skills database to keep the library fresh and consistent.

Core Features & Use Cases

  • Discover candidates from GitHub, curated repos, RSS feeds, and web searches.
  • Score candidates against the hunter quality rubric and dedup rules to decide create/overwrite/skip.
  • Merge approved skills into skills-database.json, regenerate artifacts, and log changes for audit.

Quick Start

Run the hunter to update the skills database and commit changes to the repository.

Frequently Asked Questions about hunter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate discovery of Claude Code skills from public web sources?

Automated skill discovery is handled by a daily pipeline that searches GitHub, curated repos, RSS feeds, and the web to identify potential Claude Code skills for library expansion. It scores candidates against a quality rubric to determine eligibility before merging.

How does skill deduplication work when merging newly discovered Claude Code skills?

Skill deduplication works by scoring candidates against a quality rubric and dedup rules that decide whether to create, overwrite, or skip entries. Approved winners are merged into skills-database.json while logging all changes for audit.

Can I use this skill discovery pipeline for React, Next.js, and Python FastAPI projects?

Yes, the skill discovery pipeline applies a stack-aware rubric targeting React, Next.js, TypeScript, Node, Python FastAPI/Django, and Tailwind/shadcn to determine relevance and actionability for your specific technology stack.

What is the best way to keep a Claude Code skills database fresh and consistent?

The best way to keep a skills database fresh is running a daily pipeline that discovers candidates, scores them against a strict quality rubric, merges eligible winners into skills-database.json, and regenerates artifacts with logged changes for audit.

Do I need pyyaml installed to run the skill discovery and scoring workflow?

Yes, pyyaml is a required dependency for running the skill discovery workflow. It is needed to parse configuration and process the pipeline that identifies, scores, and merges Claude Code skills into the database.

Why does the skill discovery pipeline skip some candidates found during web searches?

The pipeline skips candidates that do not pass the stack-aware quality rubric or fail dedup rules. It evaluates relevance and actionability for targeted stacks like React, Next.js, Python, and Tailwind before deciding to create, overwrite, or skip.