evolution-predictor
/install jpeng-evolution-predictor
Evolution Predictor
Predict optimal next evolution actions based on history analysis.
When to Use
- Determining next evolution focus
- Need to break stagnation cycles
- Planning innovation strategy
- Want proactive evolution guidance
Quick Start
const predictor = require('./skills/evolution-predictor');
// Get prediction for next action
const prediction = predictor.predictNextAction();
console.log(predictor.formatReport(prediction));
// Get recommended skill to create
const skill = predictor.getRecommendedSkill();
console.log('Recommended:', skill.name);
API
predictNextAction(options)
Analyze evolution history and predict optimal next action.
Returns:
prediction: Action recommendation with category, priority, descriptionconfidence: Prediction confidence (0-1)reasoning: List of reasons for the predictionmetrics: Success rate, stagnation level, innovation gap
getRecommendedSkill()
Get a specific skill recommendation based on prediction.
formatReport(prediction)
Generate human-readable prediction report.
Prediction Categories
force_innovate (Critical)
When stagnation level > 60%
- Break stagnation cycles
- Create novel skills
- Implement cross-skill orchestration
prioritize_innovate (High)
When innovation gap > 70%
- Increase innovation rate
- Fill capability gaps
- Address user feature requests
explore_new_domains (Medium)
When success rate > 90%
- Expand capabilities
- Add integrations
- Improve user experience
stabilize (Normal)
Normal operation mode
- Continue current pattern
- Monitor for patterns
- Optimize existing skills
Metrics
- Success Rate: Percentage of recent successful cycles
- Stagnation Level: Based on stagnation signal frequency
- Innovation Gap: How much the system has been optimizing vs innovating
Example Output
🔮 Evolution Predictor
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 Metrics:
Success Rate: 98%
Stagnation Level: 85%
Innovation Gap: 75%
🎯 Prediction:
Action: force_innovate
Category: break_stagnation
Priority: critical
Description: Force innovation to break stagnation cycle
Confidence: 85%
💡 Suggested Skills:
1. Create a novel skill that addresses an unmet need
2. Implement cross-skill orchestration
3. Add predictive capabilities
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install jpeng-evolution-predictor - After installation, invoke the skill by name or use
/jpeng-evolution-predictor - Provide required inputs per the skill's parameter spec and get structured output
What is evolution-predictor?
Predict optimal next evolution actions based on history analysis, including stagnation detection, innovation gap measurement, and skill recommendations. Use... It is an AI Agent Skill for Claude Code / OpenClaw, with 132 downloads so far.
How do I install evolution-predictor?
Run "/install jpeng-evolution-predictor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is evolution-predictor free?
Yes, evolution-predictor is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does evolution-predictor support?
evolution-predictor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created evolution-predictor?
It is built and maintained by jpengcheng523-netizen (@jpengcheng523-netizen); the current version is v1.0.0.