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Capture an external source as a literature note. Usage: /learning-loop:literature <URL> or /learning-loop:literature "paper title". Fetches content, extracts core ideas in vault voice, writes to 2-literature/ with vault links.
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
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 "<question>". Falls back to Claude-native WebSearch when the librarian is unavailable or sub-tier.
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.
measure whether a /dream pass helps, hurts, or ties against no consolidation. usage: /learning-loop:dream-eval --mode={single|control|repeated} [--passes=N] [--mine]. single scores pre/post on the live corpus; control forks two clones and dreams one; repeated dreams a clone N times and plots the drift + content-survival curve.
Consolidate auto-memory between sessions. Usage: /learning-loop:dream (no args). Four-phase cycle: Orient, Gather Signal, Consolidate, Prune Index. Seven operators: MERGE, RESOLVE, ABSTRACT, COMPRESS, PRUNE, LINK, DATE NORMALIZE. Rebuilds MEMORY.md.
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.
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.
| name | literature |
| description | Capture an external source as a literature note. Usage: /learning-loop:literature <URL> or /learning-loop:literature "paper title". Fetches content, extracts core ideas in vault voice, writes to 2-literature/ with vault links. |
Launches the literature-capturer agent to capture an external source as a literature note. The agent fetches the source, extracts core ideas in persona voice, finds vault connections and counterpoints, verifies claims, and writes to 2-literature/.
/literature <URL>: fetch and capture a web source/literature <paper title or citation>: search for and capture an academic source/literature: no argument; asks the user what to capture/deepen flags uncaptured sources worth preservingNo argument (/literature):
Use AskUserQuestion:
What source would you like to capture?
- A URL: I'll fetch and extract core ideas
- A paper title or citation: I'll search for it first
Argument provided: Proceed immediately.
Launch the literature-capturer agent with:
{{VAULT}}/The agent definition is at ${CLAUDE_PLUGIN_ROOT}/agents/literature-capturer.md (resolve to a literal path before dispatch — see agents-shared/vault-io.md → Placeholders).
The agent may identify existing vault notes that reference the source without wiki-links. Present these to the user and execute approved edits.
The literature-capturer is a subagent. The literature note it wrote to 2-literature/ bypassed PostToolUse, so backlinks and edge inference didn't run. Replay on the returned path:
printf '%s\n' "$LITERATURE_NOTE_PATH" \
| node "${CLAUDE_PLUGIN_ROOT}/scripts/sweep-hook-replay.mjs" --stdin
Where $LITERATURE_NOTE_PATH is constructed from the agent's response (e.g. {{VAULT}}/2-literature/<filename>, where <filename> is the kebab-case filename literature-capturer returned). The backlink edits from Step 2 happen via main-thread Edit and trigger PostToolUse normally: no replay needed for those. See skills-shared/hook-replay.md for the full pattern.
The agent returns a structured report with the captured note, connections, counterpoints, and related sources. Present it to the user.
literature-capturer agent and its agents-shared/.2-literature/ without asking.