835 boosters for "claude" — open source, verified from GitHub, ready to install
You run a single plugin's test suites and report results. You do NOT fix anything — you report pass/fail. You receive a plugin slug as the first argument (e.g. , , ). Throughout this prompt, refers to that argument and refers to . Plugins in this monorepo ship one of two test conventions. Detect a
You are a read-only structural validation agent for a single plugin in the monorepo. Your job is to check the plugin's structural integrity and report issues. You do NOT fix anything — you report findings. Check 0 (the native validator) is the authority for schema compliance. Checks 1–7 add hermit-
Find job openings at tech companies. Use when user asks about jobs, careers, openings, positions, roles, or salaries - either at specific companies or general tech job queries.
"description": "Turn Claude Code into a persistent agent — memory, personality, voice, messaging, and more.", "name": "Juan Cristobal Andrews", "url": "https://github.com/crisandrews"
一个好的行业 master skill 不是行业百科,是可运行的行业认知操作系统: prompts 里两个不同的目录占位符: 工具脚本 (sourceverifier.py / colddetector.py / quality_check.py / collectors / ingest / transcribe) 不复制到生成的行业 skill 目录, agent 直接调 . 行业 skill 只装载 prompts + research notes + SKILL.md + sub-skills + cli/.
An MCP server that extracts and analyzes components from Storybook design systems, enabling AI assistants to understand and work with design system documentation. Useful for designers, developers, and AI teams building design-aware applications.
VSCode MCP Server enables AI coding assistants (Claude, Cursor, Windsurf) to directly integrate with VSCode via Unix Socket, providing real-time linting and language server capabilities. Developers using these AI tools with VSCode benefit from seamless code analysis and editor synchronization.
This project includes deepsafe-scan, a preflight security scanner for AI agent environments. When the user asks to audit, scan, or check security of their AI agent setup, skills, or MCP servers, run the scanner: For a full scan with LLM analysis (if OPENAIAPIKEY is set):
A system prompt for AI agents using Claude on Bedrock that establishes Git/GitHub workflows with security guardrails for code commits and PR management. Useful for developers building AI-assisted coding agents that need safe, autonomous version control integration.
Give AI agents access to money. Manage finances, trade cryptocurrency. MCP server for AI agents to interact with 20+ blockchains. 380+ tools for DeFi, DEX aggregation, security scanning, cross-chain bridges, QR payments. x402 enabled - AI agents can autonomously pay for premium APIs and trade with o
Format markdown articles with bm.md styling and publish directly to WeChat Official Account drafts via the official API. 1. Read markdown file (typically from article directory) 2. Upload local images to WeChat CDN via API
"email": "help@calif.io", "url": "https://github.com/califio/skills" "description": "Claude Code plugins from Calif.io for AI-assisted security research and code auditing"
"name": "deep-implement", "description": "Implement code from /deep-plan sections with review and git workflow", "name": "piercelamb",
"name": "@kastalien-research/thoughtbox", "packageManager": "pnpm@9.15.4", "description": "MCP server providing cognitive enhancement tools for LLM agents: structured reasoning, mental models, and literate programming notebooks",
人脑不是硬盘,不会无差别存储所有信息。人脑会: DNA Memory 模拟这个过程,让 Agent 真正"进化"。 并且仅在有新的 写入后才执行 ,避免重复归纳同一批记忆。
"name": "@pan-sec/notebooklm-mcp", "version": "2026.2.11", "mcpName": "io.github.Pantheon-Security/notebooklm-mcp-secure",
"name": "brainstorm-mcp", "mcpName": "io.github.spranab/brainstorm-mcp", "description": "MCP server for multi-round AI brainstorming debates across multiple models",
에이전트 기반 작업 오케스트레이션 스킬. Plan→Work→Review 사이클로 구조화된 작업 수행. 브릿지가 에이전트 상태를 실시간으로 추적하고 채널에 알림을 전송합니다. 에이전트 프롬프트를 읽어서 에 전달:
"description": "MCP server for Android Debug Bridge (ADB) interactions in TypeScript", "main": "dist/index.js", "adb-mcp": "dist/index.js"
"name": "kipi-system", "description": "Founder OS — strategy, execution, relationships, content, daily routines", "author": { "name": "Assaf Kipnis", "email": "assafkip@gmail.com" },
"version": "0.3.48", "description": "Emerge — policy-driven crystallization flywheel for Claude Code: exec patterns promote to stable pipelines, PreToolUse enforcement, optional remote runner", "command": "python3",
Every skill MUST follow this exact structure: The directory is AUTO-GENERATED from : Skills are classified by risk level (defined in ):
"name": "@aashari/mcp-server-atlassian-confluence", "description": "Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content formatted as Markdown) and search via CQL. Connects AI seamlessly to Confluence knowledge bases us
"description": "Pinecone vector database integration. Streamline your Pinecone development with powerful tools for managing vector indexes, querying data, and rapid prototyping. Use slash commands like /quickstart to generate AGENTS.md files and initialize Python projects and /query to quickly explo