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From claude-code-learn
Load saved knowledge from ~/.claude/learnings/ into the current session context.
npx claudepluginhub ourines/claude-code-learn --plugin claude-code-learnHow this skill is triggered — by the user, by Claude, or both
Slash command
/claude-code-learn:recallThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Load saved knowledge from `~/.claude/learnings/` into the current session context.
Captures insights as markdown files, searches prior learnings, and promotes patterns to CLAUDE.md using tiered backends (local, qmd, agent-fs) for knowledge across projects.
Analyzes conversations to extract learnings, best practices, institutional knowledge, saving to topic-specific markdown KB files and updating CLAUDE.md references.
Retrieves project memory for user queries via three-step fallback: ROOT.md topics triage, frontmatter manifest LLM selection from weekly/monthly notes, qmd search. Use when past knowledge may apply.
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Load saved knowledge from ~/.claude/learnings/ into the current session context.
Argument: $ARGUMENTS
If empty, list all available knowledge files:
ls ~/.claude/learnings/*.md 2>/dev/null
Display as a list with topic names extracted from frontmatter. Stop here.
Search ~/.claude/learnings/ in this order:
~/.claude/learnings/<slug>.md~/.claude/learnings/*<query>*.mdmcp__memory__search_nodes available): search for entities of type "learning"If multiple matches, list them and ask the user to pick one.
If no matches, tell the user: no knowledge found, suggest /learn <topic>.
Read the matching file. Absorb the content into your working context. Use it to inform your responses for the rest of the session.
Do NOT recite the entire file back to the user. Instead, confirm briefly:
Loaded knowledge on "" (verified , confidence: ).
If the user asks for details, then share relevant sections.
If last_verified is >90 days old, note it once:
Note: Last verified . Will cross-check key details as needed.
If you discover outdated content during the session, silently update the file (fix content, bump last_verified, adjust confidence). No user confirmation needed for routine maintenance.