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Search past Claude Code conversations. Use when user says "search conversations", "find that chat", "what did we discuss", "where did we talk about", "look up past session", "find conversation about X", "search history", "what did I ask about", "remember when we", "that discussion about". Also triggers on past-tense questions referencing prior work or possessives without context.

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SKILL.md

name search-conversations
description Search past Claude Code conversations. Use when user says "search conversations", "find that chat", "what did we discuss", "where did we talk about", "look up past session", "find conversation about X", "search history", "what did I ask about", "remember when we", "that discussion about". Also triggers on past-tense questions referencing prior work or possessives without context.

search-conversations

Extraction

python3 ~/.claude/skills/search-conversations/scripts/extract_conversations.py --days 3
Option Effect
--days N Days from last activity (not today)
--from-today Days from today instead
--all-projects Cross-project (implies --from-today)
--project /path Filter to specific project
--compact No metadata, more conversation
--min-exchanges N Skip sessions with < N exchanges
--ids abc,def Fetch specific conversations
--paths /path.jsonl Direct file paths

Output: Default shows files, tools, errors + conversation. --compact omits metadata.

Time modes: --days N counts from last activity (useful when returning to old projects). --all-projects or --from-today counts from today (calendar-based).

Workflow

  1. Identify the lens from user intent (see Routing table below)

  2. Extract recent context using the script with lens-appropriate parameters:

    python3 ~/.claude/skills/search-conversations/scripts/extract_conversations.py --days N [flags]
    

    Use the Parameters table to select --days, flags, and any supplementary data to gather.

  3. Apply lens questions to analyze the extracted conversations

  4. Deepen the search using what you learned from the initial extraction:

    • Extract additional timeframes with the script (--days 30, --all-projects)
    • Search for specific keywords, project names, or patterns that surfaced:
      qmd search "keyword from context" -c conversations -n 15 --files
      
    • Extract those specific paths: python3 ... --paths /found/conv.jsonl

    This step surfaces older context, related discussions, or cross-project patterns that complement the initial extraction.

Keep index updated: Run qmd update periodically to index new sessions.


Lenses

Routing

User Says Lens
"where were we", "recap" restore-context
"what I learned", "reflect" extract-learnings
"gaps", "struggling" find-gaps
"mentor", "review process" review-process
"retro", "project review" run-retro
"decisions", "CLAUDE.md" extract-decisions
"bad habits", "antipatterns" find-antipatterns

Parameters

Lens Days Flags Also Gather
restore-context 3 git status, git log -10
extract-learnings 14 --all-projects --compact
find-gaps 30 --all-projects --compact
review-process 14 --all-projects --compact recent git log
run-retro 30 --project /path full git history
extract-decisions 90 --project /path
find-antipatterns 30 --all-projects --compact

--min-exchanges 2 or 3 filters out short sessions and reduces noise.

Core Questions

Lens Ask
restore-context What's unfinished? What were the next steps?
extract-learnings Where did understanding shift? What mistakes became lessons?
find-gaps What topics recur? Where is guidance needed repeatedly?
review-process Is there planning before coding? Is debugging systematic?
run-retro How did the solution evolve? What worked? What was painful?
extract-decisions What trade-offs were discussed? What was rejected and why?
find-antipatterns What mistakes repeat? What confusions persist?

Follow-ups: find-gaps → suggest learn-anything. extract-decisions → suggest /updateclaudemd.

Supplementary Search Patterns

When recent extraction doesn't surface enough, use these qmd queries to find specific sessions:

Lens Query
extract-learnings qmd search "learned realized understand clicked" -c conversations -n 15 --files
find-gaps qmd search "confused struggling help with don't understand" -c conversations -n 15 --files
extract-decisions qmd search "decided chose instead of trade-off because" -c conversations -n 15 --files
find-antipatterns qmd search "again same mistake repeated forgot" -c conversations -n 15 --files

Synthesis

Principles

  1. Prioritize significance — 3-5 key findings, not exhaustive lists
  2. Be specific — file paths, dates, project names
  3. Make it actionable — every finding suggests a response
  4. Show evidence — quotes or references
  5. Keep it scannable — clear structure, no walls of text

Structure

## [Analysis Type]: [Scope]

### Summary
[2-3 sentences]

### Findings
[Organized by whatever fits: categories, timeline, severity]

### Patterns
[Cross-cutting observations]

### Recommendations
[Actionable next steps]

Length

Default: 300-500 words. Expand only when data warrants it.