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Self Evolving Skill

Meta-cognitive self-learning system - Automated skill evolution based on predictive coding and value-driven mechanisms.

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Meta-cognitive self-learning system - Automated skill evolution based on predictive coding and value-driven mechanisms.

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: INSTALLATION.md, README.md, SKILL.md, install.sh, mcporter_adapter.py, openclaw.yaml

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

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New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

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Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.2

Provenance

Publisher: whtoo
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 13 sections Open source page

Self-Evolving Skill

元认知自学习系统 - 基于预测编码和价值驱动的Skill自动演化。

功能

ResidualPyramid金字塔分解，量化认知缺口 -: 残差自适应反思触发: 基于残差能量自动判断何时需要学习经验回放: 缓存已学模式，降低重复触发价值门控: 只有提升长期价值才接受变异持久化: 经验自动保存/加载

安装

# 技能已安装到 ~/.openclaw/skills/self-evolving-skill # 或使用ClawHub clawhub install self-evolving-skill

架构

self-evolving-skill/ ├── core/ # Python核心 │ ├── residual_pyramid.py # 残差金字塔（SVD分解） │ ├── reflection_trigger.py # 自适应触发器 │ ├── experience_replay.py # 经验回放缓存 │ ├── skill_engine.py # 核心引擎+ValueGate │ ├── storage.py # 持久化 │ └── mcp_server.py # MCP服务器 ├── src/ # TypeScript SDK │ ├── index.ts # 主入口 │ ├── cli.ts # CLI │ └── mcp-tools.ts # 工具定义 ├── skills/ # OpenClaw Skill │ └── self-evolving-skill/ # 技能封装 ├── MCP_CONFIG.md # MCP配置 └── README.md # 文档

MCP工具

工具描述参数skill_create创建Skillname, descriptionskill_execute执行并学习skill_id, context, success, valueskill_analyze分析嵌入embeddingskill_list列出Skills-skill_stats系统统计-skill_save持久化保存skill_idskill_load加载skill_id

CLI

# 列出所有Skill openclaw skill self-evolving-skill list # 创建Skill openclaw skill self-evolving-skill create --name "MySkill" # 执行 openclaw skill self-evolving-skill execute <id> --success # 分析 openclaw skill self-evolving-skill analyze --embedding '[0.1,0.2,...]' # 统计 openclaw skill self-evolving-skill stats

MCP服务器

# 启动MCP服务器 cd ~/.openclaw/skills/self-evolving-skill ./run_mcp.sh # 或使用适配器 python3 mcporter_adapter.py skill_list '{}'

编程

import { SelfEvolvingSkillEngine } from 'self-evolving-skill'; const engine = new SelfEvolvingSkillEngine(); await engine.init(); const { skillId } = await engine.createSkill({ name: 'Analyzer' }); const stats = await engine.stats();

1. 残差金字塔分解

pyramid = ResidualPyramid(max_layers=5, use_pca=True) decomposition = pyramid.decompose(embedding) # 输出: # - residual_ratio: 残差能量比率 # - suggested_abstraction: POLICY / SUB_SKILL / PREDICATE # - novelty_score: 综合新颖性

2. 三层跃迁规则

覆盖率抽象层级操作>80%POLICY调整策略权重40-80%SUB_SKILL生成子Skill<40%PREDICATE归纳新谓词

3. 自适应阈值

trigger = ReflectionTrigger( min_energy_ratio=0.10, # 初始阈值 value_gain_threshold=0.20, # 触发阈值 target_trigger_rate=0.15 # 目标15%触发率 )

文件位置

路径说明~/.openclaw/skills/self-evolving-skill技能根目录~/.openclaw/mcp_servers/self-evolving-skill.jsonMCP服务器配置~/.openclaw/workspace/self-evolving-skill/storage数据存储

Package contents

Included in package

3 Docs2 Scripts1 Config

SKILL.md Primary doc
INSTALLATION.md Docs
README.md Docs
install.sh Scripts
mcporter_adapter.py Scripts
openclaw.yaml Config