← 返回
未分类 中文

evolution-predictor

Predict optimal next evolution actions based on history analysis, including stagnation detection, innovation gap measurement, and skill recommendations. Use...
基于历史分析预测最佳的下一步进化行动,包括停滞检测、创新差距测量和技能推荐。使用...
jpengcheng523-netizen jpengcheng523-netizen 来源
未分类 clawhub v1.0.0 1 版本 100000 Key: 无需
★ 0
Stars
📥 389
下载
💾 1
安装
1
版本
#latest

概述

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

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-03-31 18:53 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

🔗 相关推荐

ai-agent

self-improving agent

pskoett
记录自身发现以实现自我改进的技能
★ 4,188 📥 959,020
data-analysis

Data Analyzer

jpengcheng523-netizen
数据分析与可视化技能,支持 CSV、Excel、JSON 数据,提供统计分析、图表与报告功能
★ 0 📥 842
ai-agent

Agent Browser

rez0
用于 AI 代理的浏览器自动化 CLI。当用户需要与网站交互(包括浏览页面、填写表单、点击按钮、截图等)时使用。
★ 881 📥 357,510