lml2468/octo-doc-skill
Agent skill for octo-doc: prompt -> interactive HTML doc, comment, publish to your self-hosted octo-doc server.
Agent skill for octo-doc: prompt -> interactive HTML doc, comment, publish to your self-hosted octo-doc server.
npx skills add lml2468/octo-doc-skillAgent skill for octo-doc: prompt -> interactive HTML doc, comment, publish to your self-hosted octo-doc server.
Automate Yandex tasks via Rube MCP (Composio). Always search tools first for current schemas.
Code review skill for AI agents - Self-iterating with SOLID principles
A modular multi-LLM AI chatbot framework built with Python, LangChain, and Streamlit. Supports multiple LLM providers, tool-calling agents, memory, routing, shell/file utilities, and extensible architecture for building advanced AI assistants and autonomous workflows.
🛠️ Curate top-rated tools, plugins, and servers for enhancing agentic coding with Claude Code, Codex, Gemini CLI, and more.
🦈 2-line install personal AI assistant. 11 AI runtime surfaces (Claude, Codex, Cursor, Gemini, Grok, Antigravity, OpenCode, Copilot), 200+ skills, zero ban risk.
Answer questions by searching the compiled Obsidian wiki. Use this skill when the user asks a question about their knowledge base, wants to find information across their wiki, asks "what do I know about X", "find everything related to Y", or wants synthesized answers with citations from their wiki pages. Also use when the user wants to explore connections between topics in their wiki, or asks a multi-hop "how is X connected to Y", "what links X to Y", "trace the chain from X to Z", or "what does X depend on transitively" question — answered by walking typed edges across multiple hops. Works from any project. Includes an index-only fast mode triggered by "quick answer", "just scan", "don't read the pages", "fast lookup" — returns answers from page summaries and frontmatter without reading page bodies.