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Found 205 Skills
DingTalk knowledge base and document management operations. This skill is used when users mention "DingTalk Docs", "knowledge base", "create new document", "view document directory", "read document content", "write to document", "update document", "document members", "dingtalk doc", "knowledge base". It supports all document-related operations including creating knowledge bases, querying knowledge base lists, creating new documents/folders, reading/writing document body content, and managing member permissions.
Extract learnings about skill creation/improvement from a session and propagate them to the central skill learnings file, then sync to appropriate skills. Use when a session revealed patterns, anti-patterns, or insights about structuring skills. Invoke via /update-skill-learnings or after skill creation/improvement sessions.
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. 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.
Audit and maintain the health of the Obsidian wiki. Use this skill when the user wants to check their wiki for issues, find orphaned pages, detect contradictions, identify stale content, fix broken wikilinks, or perform general maintenance on their knowledge base. Also triggers on "clean up the wiki", "what needs fixing", "audit my notes", or "wiki health check".
Ingest any raw text data, conversation logs, chat exports, or unstructured documents into the Obsidian wiki. Use this skill when the user wants to process data that isn't standard documents or Claude history — things like ChatGPT exports, Slack threads, Discord logs, meeting transcripts, journal entries, CSV data, browser bookmarks, email archives, or any raw text dump. Triggers on "ingest this data", "process these logs", "add this export to the wiki", "import my chat history from X". This is the catch-all for any text source not covered by the more specific ingest skills.
Generate creative prompts and thought experiments from wiki content. Use when the user wants inspiration, says "spark", "what if", "give me ideas", "what should I explore next", or wants creative prompts from their wiki, second brain, or knowledge base.
Interact with Heptabase using the CLI to create, read, and edit notes, journals, tags, and cards, and to browse AI Tutor goals, courses, and lessons. Use when the user asks to manage their Heptabase knowledge base, search cards, work with journals or tags, or read AI Tutor content.
Organizes research notes into a structured wiki knowledge base with wikilinks ([[slug]] syntax), cross-references, and an auto-generated index. Use when the user asks to build a wiki, organize notes into a knowledge base, create an index, or sync notes into a structured format.
This skill should be used to search the local Obsidian vault / markdown knowledge base by meaning, not just keywords, using the on-device qmd engine (BM25 + vector + LLM rerank). Trigger when the user asks to "search my vault/notes", "find notes about X", "what do my notes say about Y", "do I have anything on Z", "semantic search my knowledge base", or wants concept/cross-lingual retrieval over markdown. Fully local — nothing leaves the machine.
This skill should be used when the user asks to "search secondbrain", "find in knowledge base", "look up documentation", "search notes/ADRs/tasks", "find related content", "semantic search", or mentions wanting to find specific content across their secondbrain using natural language.
Design or audit AI-first help centers/knowledge bases/FAQs, including taxonomy, article templates, analytics, and AI support (RAG, chatbot, escalation), using 2025-2026 best practices
Extract and analyze YouTube video content (transcripts + metadata). Use when the user explicitly requests to analyze, summarize, extract wisdom from, or get context from a YouTube video. Supports wisdom extraction, summary, Q&A prep, key quotes, and custom analysis. Does NOT auto-trigger on YouTube URLs - only when analysis is explicitly requested.