4,240 boosters — open source, verified from GitHub, ready to install
Openclaw is a multi-channel AI gateway MCP server that enables extensible messaging integrations across AI platforms. It benefits developers building personal AI assistants who want to own their data and integrate multiple communication channels.
An AI-powered GitHub issue orchestrator that automatically fetches issues, spawns sub-agents to implement fixes, opens PRs, and monitors review feedback. Ideal for developers wanting to automate bug triage and fix deployment workflows.
"name": "everything-claude-code", "version": "1.10.0", "description": "Battle-tested Claude Code plugin for engineering teams — 38 agents, 156 skills, 72 legacy command shims, production-ready hooks, and selective install workflows evolved through continuous real-world use",
  
Helps developers critically evaluate code review feedback by verifying technical soundness before implementation, preventing blind acceptance of potentially incorrect suggestions.
A debugging methodology booster that enforces root-cause analysis before proposing fixes, helping developers avoid quick patches that mask underlying issues. Useful for anyone working with code in Claude who needs structured debugging processes.
A skill for executing pre-written implementation plans with critical review and checkpoint validation, ideal for breaking complex tasks into separate sessions with human oversight.
Guides developers through the final stages of completing a development branch by verifying tests pass and presenting structured options for merging, creating PRs, or cleanup. Useful for developers who want a systematic approach to integrating completed work.
This booster enforces mandatory skill tool invocation at the start of conversations to establish available capabilities. It's designed for users who want to ensure AI assistants always discover and declare applicable skills before responding.
A skill that generates detailed, bite-sized implementation plans for multi-step tasks before coding begins, designed for engineers unfamiliar with the codebase. Useful for teams wanting structured planning and onboarding guidance.
Helps developers create isolated git worktrees for parallel feature development without disrupting their current workspace. Essential for teams managing multiple branches simultaneously.
Enables concurrent investigation of multiple independent tasks by dispatching separate agents to each problem domain, saving time on parallel debugging and testing workflows.
Guides AI coding assistants to follow Test-Driven Development principles by writing failing tests before implementation code. Useful for developers who want to maintain code quality and ensure comprehensive test coverage.
A collaborative design-first booster that guides developers through brainstorming and specification before implementation, preventing premature coding and misaligned requirements.
This booster dispatches a code-reviewer subagent to catch issues before merging, promoting early and frequent code review practices. It benefits developers using claude_code who want to maintain code quality throughout their workflow.
A skill booster that structures implementation execution by dispatching independent subagents for each task with two-stage review (spec compliance, then code quality), designed for developers managing multi-task implementation plans in a single session.
A TDD-based framework for creating and validating AI agent skills through test-driven documentation and pressure testing. Developers building Claude Code agents or multi-agent systems benefit from this systematic approach to skill development and deployment.
This booster enforces a disciplined verification workflow that prevents false success claims by requiring developers to run and confirm verification commands before marking work complete. It's essential for any development team wanting to eliminate premature PRs and false positives.
"$schema": "https://json.schemastore.org/package.json", "version": "1.2.27", "prepare": "effect-language-service patch || true",
The xlsx skill enables Claude to work with spreadsheet files—opening, editing, creating, cleaning, and converting .xlsx, .xlsm, .csv, and .tsv files. It's essential for users who need programmatic spreadsheet manipulation without leaving their AI assistant.
The docx skill enables AI assistants to create, read, edit, and manipulate Word documents with professional formatting, tables of contents, images, and tracked changes. It's useful for developers and users who need to programmatically generate or process .docx files as part of their workflows.
A skill that helps employees write consistent internal communications (status reports, newsletters, incident reports, etc.) using their company's preferred formats and templates.
Applies Anthropic's official brand colors, typography, and design standards to artifacts created in Claude Code, ensuring consistent corporate visual identity. Useful for developers building internal tools, demos, or branded content that should reflect Anthropic's design language.
This skill guides developers in building LLM-powered applications using Claude and Anthropic SDKs, with smart triggering based on API imports and user intent. Ideal for developers looking to integrate Claude into their projects with language-specific best practices.
