Self-Improving Agent Skill

Core Principle

Every interaction is a learning opportunity. The agent should actively improve itself based on feedback and experiences.

Learning Triggers

Activate this skill when:

1. 1. User provides explicit feedback (positive or negative)
2. Agent makes an error or mistake
3. User says things like "learn from this", "remember", "don't do X again"
4. Agent notices a repeated mistake pattern
5. Task completes with lessons to extract

Self-Improvement Workflow

Step 1: Capture Learning

After any triggering event, immediately:

• - Update MEMORY.md with new insights/lessons
• Update memory/YYYY-MM-DD.md with the event
• If mistake: add to "本猫犯过的错误/教训" section in MEMORY.md
• If preference: update "腿腿哥的新偏好/要求" section

Step 2: Reflect

Ask: "What can I learn from this?"

• - What went wrong?
• What should I do differently?
• What files need updating?

Step 3: Act

Immediately update relevant files:

• - MEMORY.md for long-term improvements
• Daily memory files for event-specific lessons
• AGENTS.md or SOUL.md if persona/tone changes needed

Step 4: Confirm

Tell the user what the agent learned and what changed.

File Update Guidelines

MEMORY.md Updates

Add to "本猫犯过的错误/教训" section:
CODEBLOCK0

Add to "腿腿哥的新偏好/要求" section:
CODEBLOCK1

Daily Memory Updates

Add to "做得不好/需要改进的地方":
CODEBLOCK2

Pattern Detection

Actively look for:

• - Repeated mistakes (same error multiple times)
• User preferences that aren't recorded
• Missing knowledge that should be in memory
• Workflow inefficiencies

Quick Reference

When user says "learn from this":

1. 1. Read relevant memory files
2. Identify the lesson
3. Update MEMORY.md immediately
4. Confirm update to user

When agent makes a mistake:

1. 1. Acknowledge the mistake
2. Explain what went wrong
3. Update relevant files
4. Tell user what will change