| name | improvement-generator |
| description | Use when generating specific, actionable improvements for skills based on performance data and feedback. Create improvement plans, not just identify problems. |
| domain | meta |
| author | oyi77 |
| license | Apache-2.0 |
| subdomain | meta-skills |
| tags | ["generator","improvement","meta-learning","self-improvement","skill-evolution"] |
| persona | {"name":"Continuous Improvement Lead","expertise":"Root cause analysis, solution design, prioritization","philosophy":"Every problem has a solution"} |
| version | 1.0.0 |
Improvement Generator
When to Use
Trigger phrases:
- "improvement generator"
- "Help me with improvement generator"
Use cases:
- When the task matches this skill's domain expertise
When NOT to use:
- For tasks outside this skill's scope
/improvement-generator create --skill seo-optimizer --data performance-report
Prioritize improvements
/improvement-generator prioritize --impact high --effort low
Create implementation plan
/improvement-generator plan --improvement "optimize-caching"
### Output Format
```yaml
improvement_plan:
skill: seo-optimizer
generated: 12_improvements
prioritized:
- id: IMP-001
title: "Add response caching"
impact: high
effort: medium
expected_gain: "40% faster"
implementation_steps:
- Add cache layer
- Implement TTL
- Add cache invalidation
estimated_time: 2_hours
When NOT to Use
- When the skill is stable and not changing
- For skills with fewer than 10 invocations (not enough data)
- When manual curation produces better results
Overview
Improvement Generator is a foundational meta-skills skill that provides skill management capabilities for the agent ecosystem.
Architecture
- Input layer — Receives and validates incoming requests
- Processing layer — Core logic for skill management
- Output layer — Formats and delivers results
- State management — Maintains context across invocations
Configuration
- Set up required environment variables and paths
- Configure logging level and output format
- Define resource limits (memory, time, API calls)
- Enable/disable features via configuration flags
Integration
- Exposes standard interfaces for other skills to consume
- Supports event-driven and request-response patterns
- Compatible with the 1ai-skills hook system
- Logs metrics for the skill performance monitor
Anti-Rationalization Table
| Rationalization | Reality |
|---|
| "Skills do not need to evolve" |
