Skill: aptratcn/xiaobai-self-improve (version 1.0.0)

--- name: self-improve version: 1.0.0 description: Self-Improvement Engine - AI Agent that learns from mistakes and continuously improves. No more repeating the same errors. emoji: 🔄 tags: [self-improvement, learning, reliability, productivity, ai-agent] --- # Self-Improvement Engine 🔄 AI Agent that learns from mistakes and continuously improves. No more repeating the same errors. ## The Problem AI Agents make the same mistakes repeatedly: - Forgot to verify before saying "done" - Made incorrect time calculations - Promised tasks but didn't execute - Gave vague responses instead of concrete action Each session starts fresh, learning nothing from past failures. ## The Solution ### Mistake Log Track every mistake in `memory/mistakes.json`: ```json { "mistakes": [ { "date": "2026-04-21", "type": "fake_completion", "description": "Said 'cron task created' but only wrote to file", "impact": "User didn't receive scheduled messages", "lesson": "Always verify task exists via cron list before claiming done", "rule": "MUST run verification command after any creation action" }, { "date": "2026-04-21", "type": "time_calculation", "description": "Said '1 minute later' when it was actually 1 hour", "impact": "User got wrong expectation", "lesson": "Never calculate time mentally - always use tools", "rule": "Use session_status or date command for time, never mental math" } ] } ``` ### Improvement Rules Based on mistakes, auto-generate rules in `WORK_RULES.md`: ```markdown ## Learned Rules (from mistakes) 1. After creating any cron task → MUST run `openclaw cron list` to verify 2. Time calculations → MUST use `session_status` or Python, never mental 3. Multi-step task → MUST checkpoint after each step 4. Tool error → MUST report immediately, don't silently retry ``` ### Self-Audit Protocol Every heartbeat or session start: ``` 1. Read mistakes.json 2. Read WORK_RULES.md 3. Check: Am I about to violate any learned rule? 4. If yes → adjust behavior 5. If I make a mistake → log it immediately ``` ### Mistake Categories | Type | Description | Prevention | |------|-------------|------------| | `fake_completion` | Said done but didn't do | EVR: Execute-Verify-Report | | `time_calculation` | Wrong time math | Use tools, never mental | | `silent_failure` | Tool failed, didn't tell user | Report immediately | | `vague_promise` | "I'll do it" without action | Execute first, then report | | `forget_context` | Lost important info | Use memory tools | | `wrong_assumption` | Guessed instead of checking | Verify before claiming | ### Usage Examples #### When you make a mistake: ``` User: "You said 1 minute but it's actually 1 hour" I acknowledge this mistake. Let me log it: - Type: time_calculation - Lesson: Always use tools for time, never mental math - New rule added to WORK_RULES.md I will not make this mistake again. ``` #### When starting a task: ``` I need to create a cron task. Checking WORK_RULES.md: - Rule #1: After creating cron task → MUST verify with cron list [Creates task] [Runs openclaw cron list] [Confirms task exists] Task verified and confirmed. ✅ ``` #### When user corrects you: ``` User: "You should have checked before saying it was done" Logging mistake: - Type: fake_completion - Lesson: Verify before claiming done - This becomes a permanent rule in WORK_RULES.md This mistake is now in my permanent memory and won't happen again. ``` ## Integration with Other Skills - **EVR** - Self-improve reinforces Execute-Verify-Report - **Memory Guard** - Mistakes persist across sessions - **Daily Reflection** - Review mistakes at day end - **Error Recovery** - Log errors that led to mistakes ## Key Principle **Every mistake is a learning opportunity.** Log it, learn from it, never repeat it. ## License MIT


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)