self-improving-systems
ooiyeefei/cccDecide whether your agent actually needs persistent memory, feedback loops, or closed-loop learning, then design the smallest thing that pays for itself. Use…
Scores out of 100 · grade A
2026-08-19Works
40% of the score100/100
- Loads cleanly: valid frontmatter, required fields present, no dangling references.
Maintained
25% of the score92/100
- no commits in the last 12 weeks
Adopted
20% of the score37/100
- 475 stars on the source repo.
Documented
15% of the score90/100
- 2,961 words with worked examples.
- Ships 10 bundled files.
Install
npx skills add ooiyeefei/ccc/self-improving-systemsWhat it says it does
Decide whether your agent actually needs persistent memory, feedback loops, or closed-loop learning, then design the smallest thing that pays for itself. Use when the user says "add memory", "give my agent context management", "make my agent learn", "self-improving / closed-loop", "Reflexion / mem0 / Letta / MemGPT", "AriGraph", "agent memory architecture", "long-term memory for chatbot", "why does my agent keep forgetting / making the same mistake", "fine-tune from agent traces", or asks for a memory schema / experience store / reward model. Filters ruthlessly — most teams want a state cache, not memory + learning. Default position is scratchpad-only with a stateless agent shipped first.
Also in ooiyeefei/ccc
| Artifact | Score | What the check found | Type | Reach | Last commit |
|---|---|---|---|---|---|
| streakooiyeefei/ccc | clean | Skill | 475 stars | 20 days ago | |
| uat-testingooiyeefei/ccc | clean | Skill | 475 stars | 20 days ago | |
| product-managementooiyeefei/ccc | clean | Skill | 475 stars | 20 days ago | |
| excalidrawooiyeefei/ccc | clean | Skill | 475 stars | 20 days ago | |
| htmldropooiyeefei/ccc | clean | Skill | 475 stars | 20 days ago | |
| agentic-system-designooiyeefei/ccc | clean | Skill | 475 stars | 20 days ago |
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