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Found 37 Skills
Complete AI agent operating system setup with Kanban task management. Use when setting up multi-agent coordination, task tracking, or configuring an agent team. Includes theme selection (DBZ, One Piece, Marvel, etc.), workflow enforcement (all tasks through board), browser setup, GitHub integration, and memory enhancement (mem0, Supermemory, QMD).
Writing and authoring Quarto documents (.qmd), including code cell options, figure and table captions, cross-references, callout blocks (notes, warnings, tips), citations and bibliography, page layout and columns, Mermaid diagrams, YAML metadata configuration, and Quarto extensions. Also covers converting and migrating R Markdown (.Rmd), bookdown, blogdown, xaringan, and distill projects to Quarto, and creating Quarto websites, books, presentations, and reports.
Answer questions against the knowledge base wiki. Use when the user asks a question about their collected knowledge, wants to explore connections between topics, says "what do I know about X", or wants to search their wiki.
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.
Validate bibliography entries against citations in all lecture files. Find missing entries and unused references.
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.
Processes a new source from raw/ into the wiki. Activates when the user asks to ingest, process, add, or incorporate a source into the knowledge base.
Health check and maintenance of the wiki. Activates when the user asks to audit, verify, clean up, or organize the knowledge base.
Answers questions about the wiki knowledge base. Activates when the user asks about concepts, processes, entities, or any wiki content.
Surface and classify all open questions, unresolved contradictions, stale claims, and knowledge gaps from existing memory. Use this when the user wants to see what's still open, what needs attention, what's unresolved, or what still needs research or ingest. Does not classify incomplete goals as memory gaps. Not for answering questions, fixing issues, or adding new material; use /loam::querying-memory, /loam::linting-memory, /loam::amending-memory, /loam::adding-to-memory, or /loam::learning-from-session.
Answer questions against existing memory (the wiki substrate). Use this whenever the user is asking what is happening in the project, directory, codebase, architecture, workflow, decisions, or current state and the wiki likely contains the answer, even if they do not explicitly mention the wiki. Also use it for summaries, comparisons, and reusable analyses grounded in current wiki pages. Routes authoritative goal-state questions to /loam::setting-goals. Not for surfacing unresolved gaps; use /loam::reviewing-memory for that.
Correct or update existing wiki content when newer evidence shows the wiki is wrong, stale, incomplete, or contradicted. Use this when the agent discovers the wiki says X but we now know Y, when code or real-world changes invalidate a wiki claim, or when the user asks to fix or amend the wiki. Not for adding new sources, routine learnings capture, structural normalization, or health checks; use /loam::adding-to-memory, /loam::learning-from-session, /loam::normalizing-memory, or /loam::linting-memory.