ai-learnt
Installation
SKILL.md
Learnt — Session Teaching Loop
Review the current conversation and extract non-obvious lessons worth keeping. The goal is to make the next session smarter, not to record everything that happened.
What's worth capturing
Look for:
- Corrections — Claude did X, user said "no, do Y instead"
- Validated approaches — user confirmed or accepted a non-obvious choice without pushback (quiet wins count)
- Revealed preferences — how the user likes to work, what they care about, what annoys them
- Project facts — decisions, constraints, context that isn't in the code or git history
Ignore:
- Things derivable from reading the current code
- Standard best practices Claude already knows
- One-off task details with no future relevance
- Anything already in CLAUDE.md, MEMORY.md, or the global skill files