Review code for best practices, security issues, and potential bugs. Use when reviewing PRs, analyzing code quality, or checking implementations.
Merge pull requests following the required bugbot review process. Use when merging PRs to ensure CI passes and bugbot approval is obtained.
Claude Code skills and plugins marketplace.
Add this marketplace to Claude Code:
/plugin marketplace add eastlondoner/vibe-plugins
Then install plugins:
/plugin install vibe-skills@vibe-plugins
npm install vibe-plugins
| Plugin | Description |
|---|---|
vibe-skills | Example skills plugin with code review skill |
This repo is set up as a submodule in the main claude repo for local development:
# In the main claude repo
cd submodules/plugins/vibe-plugins
# Make changes, commit, push
.claude-plugin/
marketplace.json # Marketplace definition
plugins/
vibe-skills/ # Plugin directory
.claude-plugin/
plugin.json # Plugin manifest
skills/
code-review/
SKILL.md # Skill definition
commands/ # Slash commands (optional)
package.json # npm package config
README.md
plugins/.claude-plugin/plugin.json manifestskills/<name>/SKILL.md.claude-plugin/marketplace.jsonpackage.jsonMIT
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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Sign in to claimnpx claudepluginhub eastlondoner/vibe-plugins --plugin vibe-skillsMeta-skills infrastructure for Claude Code plugin ecosystem - skill authoring, hook development, modular design patterns, and evaluation frameworks
Complete toolkit for creating, validating, and managing Claude Code skills with intelligent agents, interactive commands, and professional templates
Skill authoring guidance and best practices
Analyze codebases and recommend tailored Claude Code automations such as hooks, skills, MCP servers, and subagents.
Design fluency for frontend development. 1 skill with 23 commands (/impeccable polish, /impeccable audit, /impeccable critique, etc.) and curated anti-pattern detection.
Behavioral guidelines to reduce common LLM coding mistakes, derived from Andrej Karpathy's observations on LLM coding pitfalls