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evolution-predictor

核心功能:分析进化历史,输出含置信度、推理的最优进化动作预测(分强制创新、优先创新等四类),还能推荐具体技能、生成可读报告;提供对应API接口。典型场景:确定进化重点、打破发展停滞、规划创新策略时使用。输入为可选配置参数,输出为结构化预测结果、技能信息或格式化报告。

jpengcheng523-netizen
jpengcheng523-netizen
热度 42.87
最近更新 2026-05-11 17:36:45
分类:数据依赖:纯提示词应用场景:数据处理 / 报告撰写 / 推荐

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add jpeng-evolution-predictor
Metadata
name
evolution-predictor
description
Predict optimal next evolution actions based on history analysis, including stagnation detection, innovation gap measurement, and skill recommendations. Use when you need to determine what the next evolution cycle should focus on.

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, description
  • confidence: Prediction confidence (0-1)
  • reasoning: List of reasons for the prediction
  • metrics: 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