claude-worktrace

Auto-captures your Claude Code sessions — what you did, what decisions you made, and how you corrected Claude — so nothing is lost when context compacts or sessions end.

Three skills, zero manual effort:

• worklog-logging — Hooks into compaction, /clear, and session end. Sonnet reads your transcript and writes narrative summaries ("Fixed auth race condition" not "edited 3 files")
• self-improve — Detects when you steer Claude ("use Hono not Express", "keep it shorter") and persists those as preferences. Project steers stay scoped; global ones apply everywhere
• worklog-analysis — Generates standups, weekly/monthly summaries from your worklog

How it works: You work normally. On compaction/clear/exit, a hook reads the transcript, Sonnet analyzes it in one API call, and writes both a worklog entry and any detected preferences. Everything syncs to ~/Documents/AI/ via iCloud and into Claude's native memory so it's active next session.

Install

claude plugins marketplace add https://github.com/thumperL/claude-worktrace
claude plugins install claude-worktrace

The first command registers the repo as a plugin source. The second installs the plugin, which automatically registers hooks and loads skills.

Migrating from .skill zip install

If you previously installed via .skill files, use the bundled migration script to safely remove old artifacts before installing the plugin.

Step 1: Preview what will be removed (dry run)

python3 scripts/migrate-from-skills.py --dry-run

Review the output carefully. The script identifies:

• Hook entries in ~/.claude/settings.json that reference worklog-logging/scripts/
• Skill directories at ~/.claude/skills/{worklog-logging,self-improve,worklog-analysis}

Only claude-worktrace artifacts are targeted — other hooks and skills are left untouched.

Step 2: Run the migration

python3 scripts/migrate-from-skills.py

The script backs up settings.json before modifying (saved as settings.backup-*.json).

Step 3: Install the plugin

claude plugins install claude-worktrace

Step 4: Verify in a new session

Start a fresh Claude Code session and confirm:

• Skills load (try "standup" or "log this")
• No duplicate skills in the skill list (each should appear once as claude-worktrace:*)

Requirements

• Claude Code CLI (claude in PATH)
• Python 3.9+ (macOS system Python works)
• ~/Documents/AI/ directory (iCloud sync recommended)

Project Structure

claude-worktrace/
├── .claude-plugin/
│   └── plugin.json
├── skills/
│   ├── worklog-logging/SKILL.md
│   ├── worklog-analysis/SKILL.md
│   └── self-improve/
│       ├── SKILL.md
│       └── references/pattern_categories.md
├── agents/
│   └── analyzer.md
├── hooks/
│   ├── hooks.json
│   └── scripts/
│       ├── pre_compact_hook.py
│       ├── pre_clear_hook.sh
│       └── session_end_wrapper.sh
├── scripts/
│   ├── write_worklog.py
│   ├── write_preferences.py
│   ├── analyze_worklog.py
│   └── migrate-from-skills.py
└── tests/test_python39_compat.py

Storage

~/Documents/AI/
├── worklog/                    # Worklog entries (per-day, per-machine)
│   ├── 2026-03-17-macbook-pro.md
│   └── ...
└── self-improve/
    ├── MEMORY.md               # Global preferences index
    ├── feedback_*.md           # Individual global preferences
    ├── preferences-log.md      # Audit trail (all steers with timestamps)
    └── projects/
        └── {project-name}/
            ├── MEMORY.md       # Project preferences index
            └── feedback_*.md   # Individual project preferences

Releasing

1. Bump version in .claude-plugin/plugin.json and .claude-plugin/marketplace.json
2. Open PR to main and add the release label
3. On merge, auto-tag workflow creates the git tag from plugin.json
4. Release workflow validates and publishes the GitHub release