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| "Skills do not need to evolve" | Static skills become outdated. Self-evolving skills improve continuously. |
| "Manual skill management is fine" | With 1000+ skills, manual management is impossible. Automate. |
| "Performance does not matter" | Skill performance directly impacts agent effectiveness. Track it. |
Process
- Prepare — Gather requirements, verify prerequisites, set up environment
- Execute — Run improvement generator workflow with configured parameters
- Verify — Validate output meets requirements, document results
Verification
- All steps executed successfully
- Results validated against acceptance criteria
- Error handling tested with edge cases
- Documentation updated with findings