Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). For CREATING new documents (report, memo, letter, résumé, contract from scratch), call the built-in tool renderDocx instead — it renders Markdown to .docx in milliseconds without forking Node.js. This skill…
Build and maintain a persistent, interlinked Obsidian-compatible markdown wiki using Karpathy's LLM Wiki pattern. Extension-backed with auto-generated metadata, guardrails, and 14 custom tools (+3 opt-in agent-trajectory tools).
How to author a BrainDB custom profile — prompt add/replace fragments and an optional keyless ingestor — that shapes wiki naming/structure and feeds a custom ingestion source, with zero effect on defaults when inactive.
Persistent memory across sessions via the BrainDB agent. Use at conversation start and whenever you need to recall what you know about the user or save new information to long-term memory.
Memory recall and save. Use at every conversation start and whenever the user shares personal information, expertise, project context, preferences, or decisions worth remembering long-term.
Agent-native DeepRefine refinement loop — same control flow as DeepRefine.refine(), graphify search instead of FAISS, session LLM, dry-run review before approved graph writes.
Agent-native DeepRefine refinement loop — same control flow as DeepRefine.refine(), graphify search instead of FAISS, session LLM, dry-run review before approved graph writes.
Claude Code adapter for the DeepRefine agent-native refinement loop. Use when the user invokes /deeprefine, or asks to refine, diagnose, review, or apply changes to a Graphify / LLM-Wiki knowledge graph. Must follow the canonical DeepRefine skill rules and stop for review before graph writes.
A guide for creating a local LLM Wiki knowledge base, such as an Obsidian vault, from an official template. An LLM Wiki is a collection of notes organized to help language-model work, while Obsidian is an app for managing linked notes.
Maintain a persistent AI-tended research wiki. Activates when the user wants to ingest a source (PDF, URL, article, paste), capture a thought, build the wiki context, query what's already known, lint for orphans/contradictions, or maintain page conventions. Phrases include "add this to my wiki", "today I decided…"…
Use when asked to analyse, review, or refresh an external agent runtime, orchestration system, agent operating layer, agent memory/knowledge/context-engineering system, or narrower model-dependent operational mechanism from inspectable sources.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
A health check for the LLM Wiki, a knowledge base about large language models. It looks for missing pages, broken links, conflicting or outdated content, missing fields, incomplete topic maps, weak bias checks, and an old core-context snapshot.
A context snapshot updater for Core Context.md, a summary file built from nine main system files and selected essays. It refreshes that summary when the underlying material changes or the snapshot is more than 30 days old.
A status report for the LLM Wiki, a knowledge base about large language models. It summarizes counts, recent activity, unfinished Inbox items, index differences, required field coverage, and the age of the core-context snapshot.
Declare and refresh a LOCAL MIRROR — a one-way local copy of a chosen zone of an internal tool (Notion today) replicated into this brain's vault as Markdown, so the LOCAL RAG can search and cite it OFFLINE. A mirror is a 'synchronized source' kept locally: copied once, then refreshed on demand. Use when the user wants…
Switch the ACTIVE UNIVERSE of this brain, or create a new one (ADR 0034). A universe is a soft retrieval scope (e.g. successive employers, clients, spheres): when you work one universe, searches default to its notes plus your cross-cutting ones. Use when the user wants to switch / change / set the current universe /…
Fan-out/fan-in architecture to pull in the DELTA of external sources (Slack, Google Drive / transcripts, Calendar, mail…) via parallel READ-ONLY sub-agents. Internal technical reference — it's the engine of Phase 2 of the main flow (question → sync sources in background) and of a possible morning briefing. Not a user…
Set up, validate, and reconfigure the llm-wiki skill suite. Always use this skill when the user says /wiki-config, asks to 'set up my wiki', 'configure wiki', 'initialize wiki config', mentions 'page structure problems', 'schema issues', 'missing templates', 'wiki help', 'how does the wiki work', or when any wiki…
Process source files into synthesised wiki pages. Always use this skill when the user says /wiki-ingest, 'import these files', 'process my clippings', 'ingest this article', 'I have new articles to add', 'turn this PDF into a wiki page', 'what's in my raw/ folder', or 'what have I ingested'. Also use when the user…
Health-check the wiki: scan all pages for broken wikilinks, orphaned pages, stale index entries, missing connections, em-dash violations, orphaned assets, and schema errors. Produces a dated lint report. Always use this skill when the user says /wiki-lint, mentions broken links, dead wikilinks, orphaned pages, 'what's…
Build and maintain a persistent, interlinked wiki from source documents. Knowledge is compiled once and kept current. Based on Andrej Karpathy's LLM Wiki pattern. Commands: /wiki (dashboard), /wiki-ingest, /wiki-query, /wiki-lint, /wiki-save, /wiki-graph, /wiki-review.