self-learning

self-learning is a Skill creation & templates skill for AI agents, published by Kulaxyz in the self-learning-skills repository on GitHub. Skillspace rates self-learning C (70/100) and it passed the safety scan; the rating is based on static analysis only.

Capture a hard-won "golden path" from the current session as a reusable Agent Skill, so future sessions start already knowing it. Use it (1) right after non-trivial debugging, after working out a multi-step operational workflow, or after rediscovering project facts you didn't know up front — e.g. how to reach the dev/prod database, where credentials and env vars live, how to deploy, run migrations, or verify a change live; and (2) whenever the user says "remember this", "save this as a skill", "make a skill for this", "don't make me re-explain this next time", or otherwise wants a workflow preserved across sessions. Proactively recognize the moment even when unprompted: if a task took several attempts before it worked, used non-obvious tooling, or is likely to recur, harvest it without asking first. Delegates to a subagent when your tool supports one, or works inline, to extract the proven procedure into a new project-local or global skill.

Grade

C

Quality

70 / 100

Safety

Passed

GitHub stars

900

Unproven: rated by static analysis only, not yet compared head-to-head.

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