An OpenClaw skill that analyzes your conversation history and generates personalized instructions.
- Python 3.11+ and pipx — see installation instructions in the main README
- OpenClaw (Node.js 22.16+ or 24) — github.com/OpenClaw/OpenClaw
The direct setup path tracks the current PyPI release and is recommended:
pipx install vardoger
vardoger setup openclawThis installs the vardoger analysis skill to ~/.openclaw/skills/vardoger/. OpenClaw discovers it automatically on the next session.
Vardoger is also listed on
ClawHub as vardoger-analyze.
Version 0.3.2 is live there as the latest tag and passed ClawHub's current
moderation scan. Install the CLI with pipx in either case because the skill
invokes it at runtime.
Maintainers publish future versions with the current CLI shape:
clawhub skill publish plugins/openclaw/skills/analyze \
--slug vardoger-analyze \
--name "vardoger — Analyze History" \
--version X.Y.Z \
--tags latest \
--changelog "Describe the release"Once loaded, ask OpenClaw to "analyze my conversation history" or "run the vardoger skill."
- Default — user-global scope: writes to
~/.openclaw/skills/vardoger-personalization/SKILL.md, which OpenClaw auto-discovers on every session. - Opt-in — project scope: pass
project_path="<workspace root>"(andscope=project) to land<project>/skills/vardoger-personalization/SKILL.md. vardoger refuses to write project-scoped skills into a directory that doesn't look like a real project (it requires.git, a language manifest,AGENTS.md, or an existing.cursor/in the path or one of its ancestors). Without that check, an MCP server launched from$HOMEwould silently drop skills into a location OpenClaw would never read. Supply a real workspace root or drop theproject_pathargument to write user-globally.
Remove the ~/.openclaw/skills/vardoger/ directory.