Store a lesson learned from the current conversation. Triggered by /lesson command. Use when Master signals that the recent conversation contains a pitfall, fix, or key insight that should be persisted to long-term memory.
Debug haiku.rag evaluation runs in Logfire. Use when asked to look at Logfire for an eval run, find failing or low-scoring eval cases, compare runs, check citation quality (citedmap) or judge pass rate (answerequivalent), or explain why an eval case failed. Drives the Logfire MCP against the evals service, or the…
Debug haiku.rag ingestion in Logfire. Use when asked to look at Logfire for ingestion, find failed or dead ingestion jobs, investigate retries or circuit-breaker events, trace a document through convert/chunk/embed/store, find which docling-serve instance served a request, spot slow conversions, or tell concurrent…
Local-first agentic RAG with citations - hybrid search, reranking and multimodal retrieval over your own documents, no database server required. Runs locally from the haiku-rag Python package.
Linggen for Claude Code — two local MCP servers, each tool served in one place: durable cross-host memory from ling-mem, browser control in your own Chrome and logged-in X reads from the Linggen engine. Per-turn memory recall built in, and /linggen:config points this host at a Linggen on another machine. Installs its…
Linggen — durable cross-host memory plus browser control, over two local MCP servers: ling-mem for memory, the Linggen engine for browser, X and agents. Memory: three-tier model (core + long-term + episodic staging) of who the user is, not a log of what was done; same ling-mem daemon and store in Claude Code, Codex…
Migrates one basemind MCP domain from flat per-verb tools onto a single mode-dispatched tool plus a CLI subcommand group — mode enum, params, shim, helpers, CLI — without touching shared files.
91 7d agoA51 tokens
originalMIT
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