Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
A structured framework for autonomous agent sessions focused on shipping tangible outputs. It defines a five-step loop: quick context check, pick one task, do the work, log it, and commit. Includes named anti-patterns and session type variants for build, research, maintenance, and exploration modes.
Gives agents explicit anti-patterns and decision rules that prevent defaulting to narration, idle check-ins, or perfectionism when running unsupervised.
When to use it
- Running a scheduled cron agent without letting the session go idle
- Deciding what to work on when no urgent tasks are queued
- Keeping an unsupervised agent focused on a single deliverable per session
- Logging completed work and insights from autonomous agent runs
- Structuring low-priority agent time without forcing unnecessary productivity
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Run a build session
- 1Checks for urgent messages and unresolved blockers from the previous session
- 2Selects one concrete task from the available categories: code, research, writing, exploration, or maintenance
- 3Completes the task without excessive narration or scope creep
- 4Writes a session log entry to memory with what was built and key insights
- 5Runs git add, commit, and push if code was produced
A committed deliverable and a structured session log entry saved to the agent's memory system