14 skills found
OthmanAdi / planning-with-filesPersistent file-based planning for AI coding agents and long-running tasks. Crash-proof markdown plans, session recovery after /clear and compaction, per-turn re-injection against context rot, deterministic completion gate. Manus-style.
mohitagw15856 / pm-claude-skills1078 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — from PRDs and postmortems to decoding a lease, budgeting your energy in spoons, and rehearsing the hardest conversation. Plain-markdown, MIT, in Anthropic's official plugin directory.
zhu1090093659 / spec_driven_developSpec-driven development workflow for AI coding agents: architecture-first planning, task decomposition, GitHub Issue/PR tracking, Deep Discuss, and adaptive control for Claude Code, Codex, Cursor, and other Markdown-capable agents.
liatrio-labs / spec-driven-workflowLightweight markdown-based workflow for collaborating with AI coding assistants using spec-driven development methodology
praneybehl / llm-wiki-pluginAndrej Karpathy's LLM Wiki pattern as a skill & Claude Code plugin — turn accumulated sources into a self-maintaining, scalable markdown knowledge base.
Grey-Iris / easy-notion-mcpMarkdown-first Notion MCP server. 42 tools, ~6–7× fewer response tokens vs the official Notion MCP, full round-trip fidelity
flesler / mcp-tasksA comprehensive and efficient MCP server for task management with multi-format support (Markdown, JSON, YAML)
alizdavoodi / MCPDocSearchThis project provides a toolset to crawl websites wikis, tool/library documentions and generate Markdown documentation, and make that documentation searchable via a Model Context Protocol (MCP) server, designed for integration with tools like Cursor.
gabelul / slopbusterStrips the AI tells out of prose, code, and academic writing. 152 patterns from real AI-vs-human analysis, two-pass rewrite, three-tier scoring. No API key — a markdown skill that runs on the model you already use.
nocodework / ai-context-kitBuild a reusable Markdown context about you and your company (Claude Code skills + templates), then use it in ChatGPT, Claude, Gemini, Cursor or CLAUDE.md. Write context once, reuse everywhere. MIT.
kerbelp / metatronGit-native context layer for AI coding agents. Your team's real engineering decisions — patterns, pitfalls, conventions — live as reviewed markdown files in your repo; agents consult them before writing code and record what they learn.
Mayank-glitch-cpu / JobSync-ServiceAn agentic job-search copilot that uses your own MCP client (Claude Desktop, Claude Code, Cursor) to discover, classify, and sync fresh job postings into your own Airtable base — or a local markdown file. Model-agnostic: you bring the LLM, JobSync handles the plumbing.
GRU-953 / GRU953-MTAGive any AI assistant a private, token-free memory of your files — Claude, Gemini, Cursor, VS Code, Windsurf, Codex & Grok. Converts attachments (PDF/Office/EPUB/archives) to Markdown and builds a searchable knowledge-graph memory to recall from. 100% local, deterministic, model-free (no LLM/GPU).
rwnalds / engramSelf-hosted MCP server + dashboard giving Claude Code, Cursor & Hermes agents shared long-term memory over a git-backed markdown vault. Agent-native, Obsidian-compatible second brain — markdown RAG, no vector DB.
