home / skills / tyrchen / claude-skills / chat-history

chat-history skill

/chat-history

This skill extracts and organizes Claude Code session inputs into a project's .chats directory, creating daily logs for easy reference.

npx playbooks add skill tyrchen/claude-skills --skill chat-history

Review the files below or copy the command above to add this skill to your agents.

Files (2)
SKILL.md
5.0 KB
---
name: chat-history
description: Extract and organize Claude Code session history into project .chats directory. Use when users want to document their Claude sessions, export conversation inputs, or maintain a log of instructions given to Claude.
user_invocable: true
---

# Chat History Extractor

Extract user inputs from Claude Code session history (`~/.claude/projects/`) and organize them into a project's `.chats` directory with daily markdown files.

## When to Use This Skill

Use this skill when the user wants to:
- **Extract session history** from Claude Code sessions
- **Document conversations** for future reference
- **Create instruction logs** organized by date
- **Export user inputs** from `.jsonl` session files
- **Maintain a changelog** of Claude interactions

## How It Works

Claude Code stores session data in `~/.claude/projects/{project-path-encoded}/` as `.jsonl` files. Each file contains messages with:
- `type: "user"` - User messages
- `userType: "external"` - External user (not system/agent)
- `message.content` - The actual message content

This skill extracts meaningful user instructions (filtering out system commands, tool results, and session continuations) and organizes them by date into `.chats/{YYYYMMDD}.md` files.

## Instructions

### Step 1: Identify the Project Session Directory

The session directory is derived from the current working directory path:
- Replace `/` with `-` in the path
- Prefix with `-`
- Location: `~/.claude/projects/{encoded-path}/`

```bash
# Example: /Users/tchen/projects/tubi/titc
# Becomes: -Users-tchen-projects-tubi-titc
# Full path: ~/.claude/projects/-Users-tchen-projects-tubi-titc/
```

### Step 2: Find Session Files by Date

List session files and filter by modification date:

```bash
# List all main session files (excluding agent-* files) for a specific date
ls -la ~/.claude/projects/{project-dir}/*.jsonl | grep "Dec 25" | grep -v agent-
```

### Step 3: Extract User Inputs

Extract user messages from jsonl files using jq:

```bash
cat {session-file}.jsonl | jq -r '
  select(.type == "user" and .userType == "external" and (.isMeta | not)) |
  .message.content |
  if type == "string" then . else empty end
' | grep -v "^Caveat:" \
  | grep -v "^<command" \
  | grep -v "^<local-command" \
  | grep -v "^This session is being continued" \
  | grep -v "^<user-prompt-submit-hook>" \
  | grep -v "^Analysis:" \
  | grep -v "^$"
```

### Step 4: Create/Update .chats Files

Create markdown files in `.chats/` directory with format:

```markdown
# Instructions

## {task title}

{user instruction}

## {another task title}

{another user instruction}
```

### Step 5: Commit Changes

After creating/updating chat files, commit with:

```bash
git add .chats/*.md
git commit -m "docs(chats): add session history for {date range}"
```

## File Format

Each `.chats/{YYYYMMDD}.md` file should:
- Start with `# Instructions` header
- Use `##` for each major task/instruction
- Include the actual user input text
- Group related instructions under the same heading
- Preserve code blocks and formatting

## Example Output

`.chats/20251225.md`:
```markdown
# Instructions

## implement feature X

based on @specs/feature-x.md implement all phases entirely

commit the code and test

## fix bug Y

investigate why component Z is not working

use sub agents to analyze the issue in parallel
```

## Filtering Rules

**Include:**
- Direct user instructions and requests
- Questions about the codebase
- Task specifications and requirements

**Exclude:**
- System commands (`<command-name>`, `<local-command-stdout>`)
- Session continuation messages
- Tool results and agent responses
- Hook notifications (`<user-prompt-submit-hook>`)
- Empty lines and caveat messages

## Workflow Summary

1. Get current working directory
2. Compute encoded project path
3. Find session directory: `~/.claude/projects/{encoded-path}/`
4. List sessions grouped by date
5. For each date with sessions:
   - Extract user inputs from all sessions
   - Create `.chats/{YYYYMMDD}.md`
   - Organize inputs with descriptive headers
6. Create `.chats/` directory if it doesn't exist
7. Optionally commit the changes

## Helper Script

You can use this bash snippet to quickly find the project session directory:

```bash
# Get encoded project path
PROJECT_PATH=$(pwd | sed 's|/|-|g' | sed 's|^|/|' | sed 's|^/|-|')
SESSION_DIR="$HOME/.claude/projects/$PROJECT_PATH"

# Check if exists
if [ -d "$SESSION_DIR" ]; then
    echo "Session directory: $SESSION_DIR"
    echo "Sessions by date:"
    ls -la "$SESSION_DIR"/*.jsonl 2>/dev/null | grep -v agent- | awk '{print $6, $7}' | sort -u
else
    echo "No session directory found for this project"
fi
```

## Notes

- Session files named `agent-*.jsonl` are sub-agent sessions and typically don't contain direct user input
- Main session files have UUID-style names (e.g., `01e78099-de0e-4424-845c-518638c8241e.jsonl`)
- The `.message.content` field can be either a string (user text) or an array (tool results)
- Always verify the extracted content makes sense before committing

Overview

This skill extracts user inputs from Claude Code session history and organizes them into a project's .chats directory as daily markdown files. It helps document conversations, export instruction logs, and maintain a searchable changelog of interactions with Claude. The output is grouped by date and formatted for easy review and version control.

How this skill works

The skill locates Claude Code session files stored under ~/.claude/projects/{encoded-project-path}/, reads .jsonl session files, and filters records for user messages (type == "user" and userType == "external"). It removes system commands, continuation markers, tool outputs, and other noise, then writes the meaningful user inputs into .chats/{YYYYMMDD}.md files with a consistent heading structure. The process can create the .chats directory and optionally stage commits for version control.

When to use it

  • You want to export and archive conversation instructions from Claude sessions by date.
  • You need a readable changelog of requests and tasks given to Claude for audits or handoffs.
  • You are documenting decisions and task specs that originated in chat sessions.
  • You want to migrate or back up user inputs from Claude Code into your repository.
  • You need daily grouping of interactions for tracking progress or reviews.

Best practices

  • Run the extractor from your project root so the encoded project path matches the session directory.
  • Review extracted content before committing to avoid including partial or irrelevant lines.
  • Group related messages under a single heading to keep instructions concise and actionable.
  • Exclude agent-*.jsonl files (sub-agents) because they rarely contain direct external user input.
  • Preserve code blocks and formatting in user inputs to retain runnable examples and snippets.

Example use cases

  • Create .chats entries after a day of debugging sessions to record discovered steps and commands.
  • Export inputs used to drive a long-running feature design conversation for inclusion in docs.
  • Collect user questions and task specs from multiple sessions into a single dated file for reviews.
  • Maintain a project-level log of all instructions given to Claude for onboarding or compliance.
  • Periodically snapshot session inputs before cleaning local Claude data or migrating machines.

FAQ

How is the project session directory encoded?

The current working directory path is transformed by replacing / with - and prefixing with -, matching the folder names under ~/.claude/projects/.

Which messages are excluded from extraction?

System commands, session continuation messages, tool results, hook notifications, caveats, and empty lines are filtered out to keep only direct user instructions.