Conversation Search

Find past conversations in your Claude Code history and get the commands to resume them.

MANDATORY FIRST STEP - CREATE TODO CHECKLIST

Before doing ANYTHING else, you MUST use the TodoWrite tool to create this exact checklist:

- Ensure cc-conversation-search tool is installed and upgraded
- Classify query type (temporal/topic/hybrid)
- Execute Level 1: focused search with cc-conversation-search
- Execute Level 2: broader search if Level 1 fails
- Execute Level 3: manual exploration if Level 1 and 2 fail
- Present results to user

CRITICAL CONSTRAINTS:

• DO NOT use grep, find, cat, or any manual file operations on .jsonl files
• DO NOT skip the todo creation step
• DO NOT jump to Level 3 without attempting Levels 1 and 2
• ONLY use cc-conversation-search commands for all search operations

Mark each todo as

in_progress

when starting it,

completed

when done.

Prerequisites & Auto-Installation

The skill requires the

cc-conversation-search

CLI tool (v0.4.0+ minimum).

First todo: Ensure tool is installed and upgraded

# Check if installed and upgrade
if command -v cc-conversation-search &> /dev/null; then
    uv tool upgrade cc-conversation-search 2>/dev/null || pip install --upgrade cc-conversation-search
    echo "Upgraded to: $(cc-conversation-search --version)"
else
    # Install if needed
    if command -v uv &> /dev/null; then
        uv tool install cc-conversation-search
    else
        pip install --user cc-conversation-search
        export PATH="$HOME/.local/bin:$PATH"
    fi
    # Initialize database
    cc-conversation-search init --days 7
fi

If installation fails, guide the user:

The conversation-search plugin requires the cc-conversation-search CLI tool.

Install it manually:
  uv tool install cc-conversation-search  (recommended)
  OR
  pip install --user cc-conversation-search

Then initialize:
  cc-conversation-search init

Do not proceed with search until installation is confirmed.

Query Type Classification

Second todo: Classify the user's query

Determine which type before executing search:

Type 1: Temporal Queries

User asks about time periods WITHOUT specific topics:

• "What did we work on yesterday?"
• "Summarize this week"
• "Show today's conversations"

Action: Use

list

command with date filters

Type 2: Topic Queries

User asks about CONTENT/TOPICS:

• "Find that Redis conversation"
• "Where did we discuss authentication?"
• "Show me where we worked on the API"

Action: Use

search "topic"

command

Type 3: Hybrid Queries

User asks about TOPIC + TIME:

• "Show me yesterday's authentication work"
• "Find Redis discussions from last week"
• "How many times did you say X in the past week?"

Action: Use

search "topic"

with date filters

Three-Level Search Workflow

Execute in order. Do not skip levels.

Level 1: Focused Search (ALWAYS START HERE)

Based on query classification:

For Topic or Hybrid queries:

cc-conversation-search search "search terms" --days 14 --json

For Temporal queries:

cc-conversation-search list --date yesterday --json  # or --days N, --since, --until

Parse the JSON output. If you find relevant matches → skip to Level 4 (present results).

Note: Search auto-indexes recent conversations for fresh data.

Level 2: Broader Search

Only if Level 1 found nothing useful.

For topic/hybrid queries:

• Remove time constraints:

  cc-conversation-search search "terms" --json

• Try alternative keywords: "auth" vs "authentication"
• Try broader terms: "database" vs "postgres"

For temporal queries:

• Expand time range:

  --days 30

  instead of

  --days 7

If matches found → skip to Level 4.

Level 3: Manual Exploration

Only if Levels 1 and 2 both failed.

1. List conversations:

   cc-conversation-search list --days 30 --json

2. Review conversation summaries in JSON
3. For promising sessions:

   cc-conversation-search tree <SESSION_ID> --json

4. Read message summaries to locate content

Level 4: Present Results

Format results for the user:

For found conversations:

**Session Details**
- **Session**: abc-123-session-id
- **Project**: /home/user/projects/myproject
- **Time**: 2025-11-13 22:50
- **Message**: def-456-message-uuid (if applicable)

**To Resume This Conversation**
```bash
cd /home/user/projects/myproject
claude --resume abc-123-session-id

For counting/analysis queries:
- Parse JSON results
- Filter by message_type if needed (user vs assistant)
- Count matches
- Present clear answer with evidence

**If not found after all 3 levels:**
- "No matching conversations found after exhaustive search"
- Suggest: `cc-conversation-search index --days 90` to reindex older history
- "The conversation may not exist or may be older than indexed range"

## Command Reference

### Search (for topic and hybrid queries)
```bash
# With time scope
cc-conversation-search search "query" --days N --json

# Specific date
cc-conversation-search search "query" --date yesterday --json
cc-conversation-search search "query" --date 2025-11-13 --json

# Date range
cc-conversation-search search "query" --since 2025-11-10 --until 2025-11-13 --json

# All time
cc-conversation-search search "query" --json

Date filter options:

• --days N

  : Last N days from now

• --date DATE

  : Specific calendar day

• --since DATE

  : From date onwards

• --until DATE

  : Up to date (inclusive)
• DATE formats:

  yyyy-mm-dd

  ,

  yesterday

  ,

  today

• Cannot mix

  --days

  with

  --date/--since/--until

List (for temporal queries)

cc-conversation-search list --date yesterday --json
cc-conversation-search list --days 7 --json
cc-conversation-search list --since 2025-11-10 --until today --json

Context & Tree

cc-conversation-search context <UUID> --json
cc-conversation-search tree <SESSION_ID> --json

Always use

--json

for structured output.

Examples

Example 1: Topic query

User: "Find that conversation where we fixed the authentication bug"

Todo workflow:

1. ✓ Tool installed/upgraded
2. ✓ Classify: TOPIC query
3. ✓ Level 1:

   cc-conversation-search search "authentication bug" --days 14 --json

4. If no results → Level 2:

   cc-conversation-search search "auth bug" --json

5. Present results with resume commands

Example 2: Temporal query

User: "What did we work on yesterday?"

Todo workflow:

1. ✓ Tool installed/upgraded
2. ✓ Classify: TEMPORAL query
3. ✓ Level 1:

   cc-conversation-search list --date yesterday --json

4. Parse conversations, group by project
5. Present organized summary

Example 3: Hybrid query

User: "Show me yesterday's authentication work"

Todo workflow:

1. ✓ Tool installed/upgraded
2. ✓ Classify: HYBRID query (topic + time)
3. ✓ Level 1:

   cc-conversation-search search "authentication" --date yesterday --json

4. Present matching sessions

Example 4: Counting/analysis query

User: "How many times did you say 'absolutely right' in the past week?"

Todo workflow:

1. ✓ Tool installed/upgraded
2. ✓ Classify: HYBRID query (phrase + time)
3. ✓ Level 1:

   cc-conversation-search search "absolutely right" --days 7 --json

4. Parse JSON, filter

   message_type == "assistant"

   , count results
5. Present count with context snippets

Error Handling

Tool not installed:

• Guide user through installation (see Prerequisites section)
• Do not proceed until confirmed

Database not found:

• User must run:

  cc-conversation-search init

• Creates

  ~/.conversation-search/index.db

Empty results:

• Follow Level 1 → 2 → 3 progression
• Do not give up after Level 1
• Only report "not found" after Level 3 fails