self-improving-systems
Installation
SKILL.md
Self-Improving Systems
A prescriptive Q&A skill for adding memory, feedback loops, and closed-loop learning to agentic systems — only when justified.
Headline message: most agents shouldn't have persistent memory.
Memory is a liability surface (drift, poisoning, debugging difficulty, GDPR/HIPAA exposure). Persistent memory is the second move, not the first. The skill's job is to filter ruthlessly so the user doesn't ship a mem0/Letta build for a problem that a 200-line conversation summary would solve.
The first 2 stages of the Q&A flow exist to stop most users from over-engineering. By the end of stage 2, ~60% of users will discover they want a state cache (or stateless RAG), not memory + learning. That's the win.