121 boosters for "md" — open source, verified from GitHub, ready to install
You are helping the user configure their deployment so works automatically. Your job is to detect the deploy platform, production URL, health checks, and deploy status commands — then persist everything to CLAUDE.md.
Converts WeChat public account articles into clean Markdown files with: Run as an MCP server for AI tool integration:
A zero-friction checkpoint tool that instantly saves session context, memory, and progress to files without prompts or delays—essential for Claude Code users managing multi-turn projects and persistent state.
You audit every (and ) in this repo for drift against the marketplace's own conventions. You are the "are these skills still internally consistent?" check that runs before a batch
Evaluate the user's ambient context artifacts for compatibility with swarm's governance rules. You are a read-only diagnostic — never modify any files. 1. CLAUDE.md files. Read the project's (working directory root). If exists, read that too. Also check (global config) — it loads into every sessi
Return the following governance specification verbatim to the team lead. Do not summarize or interpret — the lead needs the full specification. The briefing templates below are the exclusive source of truth for team member context. Do not add sections beyond what the templates specify — no "Your Fir
This is the root-level SKILL.md for agentskills.io compatibility. The full skill definition is in . See Installation in the README for setup instructions.
Use the SourceSage CLI from this repository checkout to generate repository summaries for the current repo or another local repo. Prefer the local checkout over assuming is globally installed. In this repository layout, the SourceSage tool root is the directory that contains this . 1. Resolve the S
"name": "akii-seo-ai-search-optimizer", "description": "Free SEO + AEO + GEO toolkit by Akii. All skills run on your Claude Code session model (Claude Sonnet / Opus / etc). Aligned with Google's AI Optimization Guide for Google AI Overviews + AI Mode. Audit sites, plan content, optimize pages, gener
An MCP Server that integrates TMDB (The Movie Database) API into Claude, enabling AI assistants to access movie and TV show information. Useful for developers building AI applications that need real-time entertainment data.
Generate professional-grade structured project Wiki to directory. 1. 完整可运行：包含 import、初始化、调用、结果处理 2. 覆盖导出接口：每个主要导出 API 至少 1 个示例
You audit a single plugin in the monorepo before release. You do NOT fix anything — you report findings. You receive a plugin slug as the first argument (e.g. , , ). Throughout this prompt, refers to that argument and refers to . For domain plugins, the three core-version fields (, , for ) must r
The AI doesn't have memory — it reads memory. OpenClaw injects workspace files into the system prompt at session start, giving the AI persistent context across sessions. Obsidian visualizes the knowledge graph. QMD provides semantic search so the AI finds relevant context without loading everything.
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):
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
"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
引导用户完成一次结构化需求访谈，收集配套素材，最终打包生成一份可直接使用的完整Skill文件包。 1. 用户不需要懂Skill格式——他们只需要回答问题，你来负责转化 2. 每轮问完先小结确认——不要一口气把12个问题全抛出来
"description": "LLM-powered personal wiki — autonomous knowledge base with research-on-miss, ingestion, search, a browsable web UI, and universal data gravity. Saves and retrieves knowledge automatically whenever relevant.", "repository": "https://github.com/Oshayr/llm-wiki", "agents/backlink-manage
Analyze skills using historical session data + static quality checks, output a diagnostic report with P0/P1/P2 prioritized fixes. Scores each skill on a 5-point composite scale across 8 dimensions. CSO (Claude/Agent Search Optimization) = writing skill descriptions so agents select the right skill a
Turn a folder of raw files into a Markdown vault that an LLM can grep, and then answer questions over that vault responsibly. source file, carrying retrieval frontmatter (abstract / tags / synonyms) + a
Syncs OpenClaw framework, ClawHub, and Skills documentation into a local searchable mirror for the QMD memory backend, enabling AI agents to access fresh, precise references during coding tasks.
You are capturing this session's repeatable process as a reusable skill. You have the full conversation history available to you. Analyze it directly to understand what process was performed, what tools were used, and how the user steered you. If a description was provided: The user described this p
"displayName": "Darkroom Engineering", "description": "Darkroom Engineering AI coding standards. Layered config with portable AGENTS.md, progressive complexity, and two-tier knowledge system.", "version": "13.2.2",
"$schema": "https://json.schemastore.org/claude-code-plugin-manifest.json", "description": "Animated data-flow diagrams your AI agent can write. Written by AI. Watched by humans.", "name": "Naor Sabag",
