I built self-learning-skills because I noticed my agents often spent time poking around and guessing at things I had already solved in previous runs. I used to manually copy-paste those fixes into future prompts or backport them into my skills.
This repo streamlines that workflow. It acts as a sidecar memory that:
- Stops the guessing: Records “Aha moments” locally so the agent doesn’t start from zero next time.
- Graduates knowledge: Includes a CLI workflow to Backport proven memories into permanent improvements in your actual skills or docs.
It works with Claude Code, GitHub Copilot, and Codex and any other system that implements the https://agentskills.io specification.
scottfalconer|2 months ago
This repo streamlines that workflow. It acts as a sidecar memory that: - Stops the guessing: Records “Aha moments” locally so the agent doesn’t start from zero next time. - Graduates knowledge: Includes a CLI workflow to Backport proven memories into permanent improvements in your actual skills or docs.
It works with Claude Code, GitHub Copilot, and Codex and any other system that implements the https://agentskills.io specification.