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Search Claude conversation history from JSONL files. Use when looking for previous discussions, past decisions, code solutions, or context from earlier conversations.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name search-history
description Search Claude conversation history from JSONL files. Use when looking for previous discussions, past decisions, code solutions, or context from earlier conversations.
allowed-tools Bash, Read

Conversation History Search

Search through Claude Code conversation history to find relevant past discussions.

When to Use

  • Finding previous discussions about a topic
  • Recalling past decisions or solutions
  • Getting context from earlier conversations
  • Looking up how something was implemented before

How to Search

Run the search script from the services directory:

cd ~/.claude/services
python conversation-search.py "search term"

Search Options

Option Description
--list-sessions, -l List all sessions with metadata
--session ID, -s Filter to specific session (partial match)
--context N, -c Show N messages before/after (default: 3)
--max N, -m Maximum results (default: 20)
--verbose, -v Show context messages
--full, -f Show full message content

Examples

# List all available sessions
python conversation-search.py --list-sessions

# Basic search
python conversation-search.py "bulk upload"

# Regex search
python conversation-search.py "context.*percent|usage.*%"

# Search specific session with full output
python conversation-search.py "statusline" --session 6cabef43 --full

# Get more context around matches
python conversation-search.py "error" --context 5 --verbose --max 3

Output Modes

  1. Default: Preview snippet (50 chars before, 100 after match)
  2. Verbose (-v): Adds surrounding message context
  3. Full (-f): Complete message content

Token Efficiency

The search runs externally, so searching costs 0 tokens. Only the returned results consume context.