self-improvement
Zoe's self-improvement system - learns from corrections and user preferences
Best use case
self-improvement is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Zoe's self-improvement system - learns from corrections and user preferences
Teams using self-improvement should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/self-improvement/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How self-improvement Compares
| Feature / Agent | self-improvement | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Zoe's self-improvement system - learns from corrections and user preferences
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Self-Improvement ## When to Use Automatically active. This skill runs in the background to detect when users correct Zoe or express preferences. Explicit triggers like "remember that" or "from now on" create immediate learnings. ## How It Works 1. After each conversation, scan for correction signals 2. Extract the learning (what was wrong, what is correct) 3. Store in memory with user ownership 4. Use learnings to improve future responses ## Security - Only trusted sources can create learnings (Trust Gate integration) - Owner corrections auto-confirm - Trusted contact corrections need user review - Learnings expire after 30 days if not confirmed
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