Strengthen a single vault note with research. Usage: /learning-loop:deepen "note name" or /learning-loop:deepen (picks shallowest inbox note). Assesses maturity, researches gaps, rewrites in vault voice, promotes when ready.
Generate an Excalidraw diagram for the vault. Usage: /learning-loop:diagram "concept or mechanism" or /learning-loop:diagram (infers from context). Produces .excalidraw.md in vault Excalidraw/ folder.
Explore a topic interactively with web research and vault context. Usage: /learning-loop:discovery "topic" [--style guided|branch|checkpoint] [--tone academic|conversational|persona] [--surf]. --surf skips note creation.
Diagnose your learning-loop installation. Runs health checks, presents issues, offers per-fix remediation, re-runs each check after the fix to confirm. Safe to run anytime; only makes changes you approve. Pass --redact to scan plugin data files for leaked credentials instead.
Set up or repair learning-loop federation: identity creation, token redemption, Tailscale, visibility rules, and the first sync test. Run when /init asked you to defer federation, when sync is broken, or when rotating identity. Safe to re-run.
Collect opt-in-marked, IP-scrubbed insights from THIS instance to carry back to another learning-loop instance you own. Usage: /learning-loop:harvest [--all] [--out ]. Keys ONLY on frontmatter portable: true (never visibility). Mechanical deny-list blocks IP; you review what survives. Emits a lift-bundle to ingest on…
Pull external context into the second brain. Handles any format Claude can read: PDFs, images, code, conversations, docs, or raw text. Usage: /learning-loop:ingest linear ["project"], /learning-loop:ingest repo [path] [--deep] (--deep forces the parallel deep-mapper tier), /learning-loop:ingest context…
First-time setup or upgrade for the learning-loop plugin. Configures vault path, persona voice, CLAUDE.md integration, and verifies the installation. Hands federation off to /learning-loop:federation. Safe to re-run: detects existing state and skips completed steps.
Capture an external source as a literature note. Usage: /learning-loop:literature or /learning-loop:literature "paper title". Fetches content, extracts core ideas in vault voice, writes to 2-literature/ with vault links.
Quick mid-conversation capture to inbox. Usage: /learning-loop:quick-note (infers from context), /learning-loop:quick-note "insight title", or /learning-loop:quick-note "title" "body". Writes to 0-inbox/ without breaking flow.
Fast answer to a question with vault context (the spoken answer is ungated; only captured notes are verified before writing). Usage: /learning-loop:quick "question" or /learning-loop:quick (infers from context). One-shot: web research + vault awareness + auto-capture if novel.
End-of-session consolidation. Usage: /learning-loop:reflect (no args). Reviews conversation, extracts learnings, routes to auto-memory or vault, cross-links projects, promotes inbox notes. Run after substantial work sessions.
See what you already know about a topic (no web research). Usage: /learning-loop:refresh "topic". Searches vault notes, episodic memory, and literature. Optionally tests discrimination of confusable note pairs. Good before /learning-loop:discovery or when returning to a topic.
Deep research with the local librarian doing the token-heavy middle. Scope on Claude, Search+Fetch+Extract on the local Ollama model, adversarial Verify + Synthesize back on Claude. Usage: /learning-loop:research " ". Falls back to Claude-native WebSearch when the librarian is unavailable or sub-tier.
Cross-store correction for a retracted or updated belief. Usage: /learning-loop:rewrite "old pattern" "new pattern" [reason]. Searches vault, auto-memory, and episodic history; presents an impact map for triage; executes user-approved changes; records a supersession so future episodic searches get annotated.
Build a portable starter slice from this learning-loop instance for a fresh instance to boot from. Usage: /learning-loop:seed [--for-job] [--types feedback,reference] [--out ]. Default --for-job carries working-style (feedback memories + system + portable prefs), no vault notes, no projects. Use when ramping up at a…
Cleanly remove learning-loop and its footprint. Usage: /learning-loop:uninstall. Walks the three steps — marketplace removal, episodic-memory MCP removal, and purging captured indexes — with confirmation before each destructive action. Does not auto-delete.