task-observer
Monitors task execution for skill improvement opportunities. Use during ANY multi-step task, agentic workflow, or work session where the agent uses tools and produces deliverables. Captures patterns, user corrections, workflow insights, and methodology worth preserving as reusable skills. Also triggers in post-task feedback discussions and when the user mentions skill observations, improvements, the observation log,…
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task-observer is a SKILL.md that an AI coding agent loads to monitor its own task execution and capture skill-improvement opportunities. It defines a session-start protocol, observation logging, a taxonomy for classifying observations, and a surfacing protocol for reporting findings at session end.
Reach for it when you want an agent to systematically turn recurring patterns, user corrections, and workflow insights into reusable skills instead of losing them after each session.
Use it to
- Log observations of reusable workflows during multi-step tasks
- Capture user corrections as skill-improvement candidates
- Run a weekly review of accumulated observations
- Classify observations as open-source or internal skills
- Surface a grouped summary of skill opportunities at session end
For Agent users who want their workflows distilled into reusable skills
- Host repository
- rebelytics/one-skill-to-rule-them-all
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- Python