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Found 82 Skills
Capture technical breakthroughs and transform them into actionable, reusable documentation. Use this skill when the user has achieved a significant technical insight, solved a hard problem, discovered a non-obvious solution, or wants to document a breakthrough moment. Also trigger when the user mentions "eureka", "breakthrough", "document this insight", "capture this discovery", or wants to turn a technical win into reusable knowledge.
A team of 10 AI agents that manage your Obsidian vault for knowledge, nutrition, and mental wellness using Claude Code
Auto-extract patterns from coding sessions, track corrections, and build reusable knowledge with confidence scoring
Use this skill when the user types "/notes" or "@notes" with phrases like "save this", "document this", "file this under <project/client>", "extract decisions", "extract action items", or "update notes from this discussion". The skill spawns the notes-librarian subagent to extract durable knowledge and file it into the right Docmost page using the existing workspace structure. Falls back to a configured inbox page when confidence is low.
Analyze recent conversation context and capture learnings to project knowledge files (for project-specific insights) or skills/commands/subagents (for cross-project patterns). Use when the user asks to "capture this learning", "update the docs with this", "remember this for next time", "document this issue", "add this to CLAUDE.md", "save this knowledge", or "update project knowledge". Also triggers after resolving build/setup issues, discovering non-obvious patterns, or completing debugging sessions with valuable insights.
Catalog GitHub starred repositories into a structured Obsidian vault with AI-synthesized summaries, normalized topic taxonomy, graph-optimized wikilinks, and Obsidian Bases (.base) index files for filtered views. Fetches repo metadata and READMEs via gh CLI, classifies repos into categories and normalized topics, generates individual repo notes with frontmatter, and creates hub notes for categories/topics/authors that serve as graph-view connection points. Use this skill when users want to: (1) Catalog or index their GitHub stars into Obsidian (2) Create a searchable knowledge base from starred repos (3) Organize and discover patterns in their GitHub stars (4) Export GitHub stars as structured markdown notes (5) Build a graph of starred repos by topic, language, or author For saving/distilling a specific URL to a note, use kcap instead. For browsing AI tweets, use ai-twitter-radar instead.
Explicitly save important knowledge to auto-memory with timestamp and context. Use when a discovery is too important to rely on auto-capture.
[Manual Only] Record project learnings in FORyusuke.md. Structurally append lessons learned, pitfalls, debugging stories, and improvement points obtained during the session. It only works when explicitly called via /teach (it will not be triggered automatically in normal work).
NotebookLM integration patterns for external RAG, research synthesis, studio content generation (audio, cinematic video, slides, infographics, mind maps), and knowledge management. Use when creating notebooks, adding sources, generating audio/video, or querying NotebookLM via MCP.
Build a personal knowledge wiki from your notes, journals, and documents. LLM ingests data, synthesizes cross-linked Wikipedia-style articles, and serves a web UI.
Build and maintain a personal knowledge base using Karpathy's llm-wiki methodology across Claude Code, Codex, and OpenClaw agents.
Process raw source documents into wiki pages. Use when the user adds files to raw/ and wants them ingested, says "process this source", "ingest this article", "I added something to raw/", or wants to incorporate new material into their wiki, second brain, or knowledge base.