Explore plugins

Skill az9713/youtube-transcript-to-skills/.claude/skills/explore-plugins

Extract Claude Code skills from AI workflow YouTube transcripts. 10 ready-to-use skills + a meta-skill that automates the extraction process. Built from John Kim's 50 Claude Code tips.

Install

npx -y skills add az9713/youtube-transcript-to-skills --skill explore-plugins

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Discover and install useful Claude Code plugins for your project. Recommends based on your tech stack.

SKILL.md

2.5 KB, 630 tokens by cl100k_base, as published. Nobody here has run it

Explore Plugins

Discover and install Claude Code plugins (also called "skills packages") that enhance your workflow.

Usage

/explore-plugins

Procedure

Step 1: Detect Project Tech Stack

Scan the project to understand what technologies are in use:

Language: Check for package.json, Cargo.toml, go.mod, pyproject.toml, etc.
Framework: Check for Next.js, React, Vue, Django, Rails, etc.
Tools: Check for Docker, Terraform, Kubernetes configs
Type: Is this a web app, API, CLI tool, library, mobile app?

Step 2: Search Available Plugins

Search for relevant skills/plugins:

Official Anthropic skills: Search github.com/anthropics/skills
Community skills: Search github.com for claude-code skills [tech-stack]
skills.sh registry: Search for skills matching the detected tech stack
Vercel skills: Search github.com/vercel-labs/skills

Step 3: Present Recommendations

Show the user a categorized list:

## Recommended Plugins for Your Project

Based on your stack: [detected stack]

### Highly Recommended
1. **[name]** — [description]
   Installs: [N] | Source: [owner/repo]
   Why: [reason this is relevant to their project]

### Nice to Have
2. **[name]** — [description]
   Installs: [N] | Source: [owner/repo]
   Why: [reason]

### Meta / Utility
3. **find-skills** — Discover more skills on demand
   Installs: 179K+ | Source: vercel-labs/skills
4. **skill-creator** — Create your own skills from workflows
   Installs: 28K+ | Source: anthropics/skills

Which would you like to install? (e.g., "1,3,4")

Step 4: Install Selected Plugins

For each selected plugin, install using the skills CLI:

npx skills add <owner/repo>

This installs the skill to .claude/skills/.

If npx skills is not available, fall back to manual installation:

Clone or download the skill's SKILL.md
Place it in .claude/skills/<skill-name>/SKILL.md

Step 5: Verify Installation

After installation:

Check that the skill files exist in .claude/skills/
Tell the user to test with /[skill-name]
Note that some skills may require additional setup (API keys, config files)

Step 6: Show What's Installed

List all currently installed skills:

## Installed Skills
- [name]: [description] (source: [where it came from])
- [name]: [description] (source: custom/local)