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- reflect: enforce-before-adding pattern gate, proactive synthesis step, improvements.md triage, debrief must list every file modified - housekeeping: domain INDEX.md rebuild step, briefing bridge SSOT rule and richer section format with compression rules - foresight: cruising velocity classification, non-obvious rule, anti-patterns section, scenario candidate format in nudge output, thread current-state in memory reads - scenario: full rewrite with body template (Decision Point, Dependencies, Branches, Timeline Overlay, Contingency Map, Retrospective), anti-patterns, trigger threshold, related-threads frontmatter - evolve: route content issues step, scorecard generation, architecture-only constraint on Next Run Priorities - history: simple vs deep triage note - CLAUDE.md: structured action items format, briefing-bridge and foresight-nudge in file edit table Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Use this skill for deep memory search and recall. Trigger if the user says "what did I say about...", "when did we discuss...", "find that conversation about...", "history of...", or asks about past information that needs multi-file search. For simple date/keyword lookups, a quick Grep suffices — this skill is for when you need to piece together a narrative from multiple entries.
Domain
Memory recall — recursive search across all memory files, cross-referencing observations, entities, and action items.
Memory Files
Read on activation:
memory/hot-memory.md(for context on what's currently relevant)
Search across:
- All
observations.mdfiles (personal, work domains, cog-meta) - All
entities.mdfiles - All
action-items.mdfiles - All
hot-memory.mdfiles memory/glacier/(via index.md for targeted retrieval)
Process
Pass 1: Locate
- Extract keywords from the user's query (names, topics, dates, phrases)
Grep path="memory/" pattern="<keyword>"for each keyword- Note which files matched and how many hits
- If >10 files match, narrow by domain or add query terms
- If 0 matches, try synonyms or related terms
- Check
memory/glacier/index.mdfor archived data matching the query
Pass 2: Extract
- Read the top 3-5 most relevant files (by hit density and recency)
- Extract the specific passages that match the query
- Track the timeline: when did the topic first come up? How did it evolve?
Pass 3: Synthesize
- Combine extracted passages into a coherent answer
- Present findings chronologically with dates
- If something seems incomplete, flag it:
"Found references to X in observations but no entity entry — want me to create one?"
Artifact Formats
Search result: YYYY-MM-DD: <summary of what was found>
Memory gap: Gap: referenced but not in memory — <topic>
Timeline: Chronological list of when a topic appeared and how it evolved
Activation
Extract search terms from the user's query and begin Pass 1. Be thorough but concise in the synthesis — don't dump raw content.