Turn document corpora (books, merged TXT, PDF/EPUB, OCR text) into structured agent knowledge: normalize → deterministic source segmentation → chapter maps with provenance → book skills → evaluation gates. Use when the user wants to convert books/materials into AI skills, build a knowledge base from a corpus, evaluate…
A setup process for connecting a new or reset AI agent to a local Second Brain—a personal collection of rules, identity information, and reusable skills. It installs the required skills, connects the supporting service, and checks the setup in a fresh session.
Orchestrate a hierarchical ontology engineering skill family for a specific domain. Use when the user wants end-to-end planning, team composition, research, ontology construction, validation, and release guidance grounded in competency questions, evidence, reuse-first modeling, and human review gates.
Native knowledge-graph ingestion of Whisper transcripts on the audio-transcriber MCP server — transcribe an audio/video file and push it into the epistemic-graph in one call: the raw audio as a shared :MediaAsset blob, the transcript text as a :Document, and each Whisper segment as a :TranscriptSegment node linked…
Natively ingest a Jellyfin library into the epistemic-graph knowledge graph via the jellyfin-mcp MCP server — push library items as typed :MediaAsset/:Book nodes with :hasGenre/:performedBy/:authoredBy links and item overviews as searchable :Document nodes (jellyfiningestlibrary), and item posters as content-addressed…
Benchmark CodeGraph retrieval quality on a real codebase by comparing agent behavior with vs without CodeGraph. Use when the user runs /agent-eval or asks to test, benchmark, audit, or validate a codegraph version (the local dev build or a published npm version) against a language's repo.
Develop/iterate on the MidMem middleware core (this repo's packages/core — the shared "LLM Wiki" knowledge layer). Use when adding or changing MidMem capability — retrieval lanes, tiers/lifecycle, work-memory events, concept routing, claims, grounding, the MCP/CLI/hook surfaces, or its tests. Encodes the…
Use when implementing file-type handlers, extractors, decoders or transforms for the corpus pipeline. Mandatory before writing such code (AGENTS.md, code standards #8–#11).
A code-testing helper that creates tests and checks for programming mistakes, including unit, integration, and end-to-end tests. It can also produce coverage reports, which show how much code the tests exercise.
Build and maintain Knowledge Graphs from webpages using WordLift APIs. Use when importing pages from sitemaps via WordLift Sitemap Import API, creating product catalogs with GS1 Digital Link identifiers (GTIN-based), generating slug-based entity IDs for organizations/people/webpages, creating JSON-LD markup…
Run an entity workup — given a target entity or organizational node, traverse its relationships in the Neo4j graph and produce a cited analytic note. Triggers on "run entity workup on …", "work up ", "analyze entity …".
Ingest and grow an Obsidian knowledge base as a verifiable loop. Combines Loop Engineering (machine-checkable completion criteria, boundary guardrails, a verification pass that resists gaming) with the Obsidian "second brain" organizing model (typed nodes, wikilinks, MOC, an index and an audit log). Use this whenever…
Stand up a Booboo brain end to end — scaffold the project, write booboo.config.yaml against a real Postgres/Supabase or JSON source, build the snapshot, then wire the REST API, the MCP server, the 3D viewer and the panel. Use when someone wants a brain built for the first time, wants to point Booboo at their own…
Use the local ContextDB MCP memory for durable project continuity: automatically recall and submit significant project-state candidates during substantial workspace tasks, organize an untrusted typed hierarchy, and handle explicit remember or recall requests.
Search, save, and query a three-tier semantic memory shared across all AI agents on your workstation. Use before starting any task (search first for prior context) and after completing significant work (save findings with entities for consolidation). Supports savedecision for full PROV-O provenance and…
Use when the user needs to run GitNexus CLI commands like analyze/index a repo, check status, clean the index, generate a wiki, or list indexed repos. Examples: "Index this repo", "Reanalyze the codebase", "Generate a wiki".
Natively ingest an ArchiveBox archive into the epistemic-graph knowledge graph via the archivebox-api MCP server — push snapshots as typed :Snapshot nodes (with :Tag + :hasTag links and per-snapshot :Document page-text) and archive results as :ArchiveResult nodes, best-effort, with the Wire-First ingest tools. Use…
Memory Bank MCP is a Model Context Protocol (MCP) server that provides AI assistants with persistent memory across sessions. It allows storing and retrieving project context, tracking progress, logging architectural decisions, and managing active context through a set of MCP tools.
How to develop, extend, and maintain the SF Documentation Knowledge System.
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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: