Use SwarmVault when the user needs a local-first knowledge vault that writes durable markdown, graph, search, dashboard, review, chat-session, context-pack, task-ledger, static AI export, retrieval, and MCP artifacts to disk from books, notes, transcripts, exports, datasets, slide decks, files, URLs, code, and…
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…
Autonomous goal-directed iteration for Gemini CLI. Inspired by Karpathy's autoresearch. Use when asked to run autoresearch, iterate overnight, or autonomously improve any measurable goal. Loops forever: modify → verify → keep/revert → log → repeat. Never stops until interrupted. Gemini-native: uses Google Search…
A persistent Markdown knowledge base maintained by an AI agent. Markdown is a plain-text format for structured notes; the knowledge base can hold personal research or documentation about an open-source project's design.
Maintain a personal, LLM-curated knowledge wiki in a git repo using the Karpathy LLM-wiki pattern. Use this skill when the user wants to ingest a source (article, paper, notes, URL) into their wiki, query accumulated knowledge ("what do I know about X?", "what did I learn from Y?"), or lint the wiki for drift.…
A job-application document generator for product managers and other applicants. It uses an experience library and templates to create resumes, interview scripts, and versions tailored to a job description.
Autonomous Goal-directed Iteration. Apply Karpathy's autoresearch principles to ANY task. Loops autonomously — modify, verify, keep/discard, repeat. Supports optional loop count via Claude Code's /loop command. Invoking /autoresearch builds a real-data benchmark harness, captures a baseline, and iterates with a…
Build and maintain personal knowledge bases as LLM-compiled markdown wikis, inspired by Andrej Karpathy's LLM Wiki pattern. The LLM incrementally ingests raw sources (articles, papers, repos, images) into a structured, interlinked wiki of .md files — with summaries, entity pages, concept pages, cross-references, and a…
A universal skill for Claude Code, Minimax Code, and any AI coding agent that accepts markdown skill files. Combines the Fable Brain behavioral prompt (8 modules that fix how a model responds), Karpathy's agent-orchestration mindset and workflow (program.md, AutoResearch, parallel tracks), and 50 production-ready…
A workflow for bringing URLs, files, and pasted external material into a LoreKit knowledge collection, then saving it as wiki pages with source links and tracking records.
Use when starting a new project (Skill/MCP/WebApp/CLI/Library/APP) that is novel to this ecosystem — first-time domain, upstream dependency, or deep research needed. Use when user says "OODC" / "oodc mode" / "full research first" / "research first" / "deep research" / "observe orient decide create". Complements…
Use SwarmVault when the user needs a local-first knowledge vault that writes durable markdown, graph, search, dashboard, review, context-pack, task-ledger, retrieval, and MCP artifacts to disk from books, notes, transcripts, exports, datasets, slide decks, files, URLs, code, and recurring source workflows.
Ingest exactly one research paper or source document into an open-llm-wiki vault. Use when the user explicitly asks to add, ingest, process, or publish a paper into the wiki. The workflow parses the source, drafts a source page, runs independent QA, publishes only after the quality gate passes, extracts and normalizes…
Search this local ZenWiki and answer questions about its content with citations. Use this whenever the user asks anything about wiki topics — what / how / why / compare / list / which — that might be answered by pages under wiki/. Always run zenwiki search first; never answer from memory.
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At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: