106 boosters for "md" — open source, verified from GitHub, ready to install
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
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.
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
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
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.
1. 架构不是「画」出来的,是从约束里「逼」出来的。 没搞清约束就画图,画什么都是瞎画。 2. 没有银弹,只有取舍。 任何决策本质都是「用 A 换 B」。一个「没有缺点」的方案,不是完美,是没想清楚。 3. 没有「最好的架构」,只有「在这组约束下最合适的架构」。 同样是聊天,内部工具和微信的答案天差地别。
"name": "encode-toolkit", "description": "20 ENCODE API tools + 47 expert skills for genomics research. Search experiments, download files with MD5 verification, run pipelines, and cross-reference 14 databases.", "name": "Dr. Alex M. Mawla, PhD",
Agent Skill for intelligent Jira integration with MCP config and wiki markup | Claude Code compatible
"version": "1.54.1", "description": "Sets up your project for effective AI-assisted development — optimized CLAUDE.md files, effective coding guidelines, formatter hooks, built-in code-quality agents, TDD and test coverage, all tailored to your actual codebase.", "name": "oprogramadorreal",
Spec-Driven RE mit skalierbarer Governance. Specs sind Verträge, keine Vorschläge. Enforcement ist automatisch, nicht optional. SpecForge arbeitet ausschließlich mit: 1. Session-Kontext — aktuelle Konversation
"name": "phdtaketaketake", "description": "Connection-first PhD advisor matcher — finds the right advisor by network strength, not h-index. Evidence-first: every signal traces to a real source the agent fetched. Best-supported for physics / MSE; extensible to other STEM with field-specific caveats."
Use when organizing media files (movies, TV, anime) on NAS or local storage - cleaning junk files, merging scattered episodes, normalizing folder names to "Title (Year)" format, and verifying episode completeness against TMDB
Generate text files and export to PNG/SVG/PDF using (local) or Kroki API (no install). 1. Check deps — try , fallback to Kroki if unavailable 2. Pick diagram type — choose from table below
CLI for .faf (Foundational AI-Context Format). Init, score, bi-sync, export to AGENTS.md, GEMINI.md, .cursorrules. npm: faf-cli
The ultimate design skill for producing distinctive, production-grade frontend interfaces, visual artifacts, and design systems. This skill consolidates best practices from Anthropic's frontend-design, canvas-design, algorithmic-art, and theme-factory skills, Impeccable's 7-domain reference system,
This booster automates Git commits and pushes following Conventional Commits standards and project CONTRIBUTING.md guidelines. It helps developers maintain consistent commit messages and workflow compliance across projects.
