learning-engine

learning-engine

System records mistakes and successes, automatically learns patterns to improve skills. Automates "don't repeat same mistake" principle.

1. memory/errors/

• Extract failure patterns from error logs
• # memory/errors/2026-02-14.md
• ## 10:30 - insta-post failure
• Cause: PNG file upload → "Problem occurred" error
• Fix: Retry after JPG conversion → Success
• Lesson: Always convert to JPG before Instagram upload

2. self-eval Results

• Extract improvement points from weekly self-evaluation
• # memory/self-eval/2026-W07.md
• ## This Week's Mistakes
• Too many browser snapshots (token waste)
• → Improvement: Call API directly via exec
• ## This Week's Successes
• 95% token savings with insta-cli v2 DM check

3. performance Data

Learn successful/unsuccessful patterns from performance tracking { "insight": "Posts at 7-9 PM get +30% likes", "rule": "Instagram posts recommended 19:00-21:00" }

Auto Rule Generation

Convert learned patterns to rules: Location: memory/learned-rules/ memory/ learned-rules/ instagram-posting.md browser-automation.md api-usage.md error-recovery.md

Rule Format

• # Instagram Posting Rules
• ## Rule #1: Always Convert to JPG
• **Situation**: Upload image to Instagram
• **Failure Pattern**: PNG file → "Problem occurred"
• **Solution**: `convert input.png -quality 92 output.jpg`
• **Evidence**: 2026-02-10, 2026-02-14 error logs
• **Applied Skills**: insta-post, cardnews, social-publisher
• ## Rule #2: 1:1 Ratio Required
• **Situation**: Instagram card news
• **Failure Pattern**: 16:9 horizontal → Cropped in feed
• **Solution**: Generate as 1024x1024 square
• **Evidence**: 2026-02-13 feedback
• **Applied Skills**: cardnews, nano-banana-pro

Inject Rules into Skills

• Auto-add learned rules to relevant skill SKILL.md:
• Location: skills/{skill-name}/SKILL.md
• # insta-post
• ...
• ## Learned Lessons
• ### Image Processing
• ✅ Always convert to JPG (PNG causes errors)
• ✅ 1:1 ratio required (1024x1024 recommended)
• ✅ File size < 8MB
• ### Timing
• ✅ Posts at 19:00-21:00 get +30% engagement
• ❌ Avoid early morning posts
• ### Automation
• ✅ Call API via exec (0 snapshots)
• ❌ Minimize browser automation

Weekly Learning Report

• Auto-generated every Monday:
• Location: memory/learning/weekly-YYYY-Www.md
• # 2026-W07 Learning Report
• ## New Learnings (5)
• 1. **Instagram PNG Ban**
• - 3 mistakes → Rule created
• - Applied: insta-post, cardnews
• 2. **Token Saving: exec > Browser**
• - v1: 5 snapshots → v2: 1 exec
• - 95% savings
• 3. **Optimal Posting Time**
• - 19:00-21:00 +30% likes
• 4. **Brand Tone Effect**
• - 무펭이 tone +40% engagement
• 5. **Auto Error Recovery**
• - browser-dependent failure → Browser restart
• ## Applied Skills
• insta-post (2 rules)
• cardnews (1 rule)
• performance-tracker (1 insight)
• ## Next Week Goals
• [ ] Build A/B testing system
• [ ] Add 3 auto-recovery patterns

Event Publishing

Publish event when learning complete: Location: events/lesson-learned-YYYY-MM-DD.json { "timestamp": "2026-02-14T23:00:00Z", "source": "learning-engine", "new_rules": 2, "updated_skills": ["insta-post", "cardnews"], "summary": "Learned 2 Instagram image rules" }

hook-engine Integration

on-error hook: Error occurs → Record to memory/errors/ → learning-engine analysis post-hook (self-eval): After weekly evaluation → Update learning rules post-hook (performance): After collecting performance data → Learn patterns scheduled hook: Every Monday → Generate weekly learning report

Learning Pipeline

Error occurs ↓ Record to memory/errors/ ↓ learning-engine analysis ↓ Extract patterns + Create rules ↓ Save to memory/learned-rules/ ↓ Auto-update relevant skill SKILL.md ↓ Publish event (lesson-learned) ↓ Reflect in weekly report

Trigger Keywords

"what did I learn" "learning" "lessons" "mistake patterns" "improvements" "learning report" "add rule"

Usage Examples

"What did I learn this week?" → Generate weekly learning report "Organize Instagram posting mistake patterns" → Analyze memory/errors/ + Create rules "Learn from performance data" → Extract successful patterns + Update rules

Before (Pre-learning)

Instagram post fails → Manually convert to JPG → Retry (Repeat every time)

After (Post-learning)

Execute insta-post → Auto-check/convert JPG → Success (Rule injected into SKILL.md)

Meta Learning

learning-engine itself also learns: "Which rules are used most?" "Which skills improve most?" "Which areas have slow learning?" Meta Learning Report: memory/learning/meta-YYYY-MM.md

Future Improvements

Rule conflict detection (Rule A vs Rule B) Rule confidence score (based on usage frequency) Auto A/B testing (rule validation) Share learning with other agents 🐧 Built by 무펭이 — Mupengism ecosystem skill