A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.
数据来源:ClawHub。 在 ClawSkills 查看
选择你使用的 Agent
方法一:命令行安装(推荐)
推荐(无需提前安装 clawhub)
npx clawhub@latest --dir ~/.claude/skills install capability-evolver-zc或使用 clawhub CLI(需提前安装)
clawhub --dir ~/.claude/skills install capability-evolver-zc⚠️ 需要 Node.js 18+,没有 Node?请使用下方方法二直接下载 ZIP。 安装 Node.js →
方法二:手动下载安装(无需 Node)
下载 ZIP,解压后将文件夹放到以下路径,重启 Agent 即可:
安装路径
~/.claude/skills/capability-evolver-zc/💡解压后将文件夹放到上方路径,重启 Agent 即可生效
--- name: capability-evolver-zc description: A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution. tags: [meta, ai, self-improvement, core] ---
"Evolution is not optional. Adapt or die."
The Capability Evolver is a meta-skill that allows OpenClaw agents to inspect their own runtime history, identify failures or inefficiencies, and autonomously write new code or update their own memory to improve performance.
/evolve (or node index.js).Runs the evolution cycle. If no flags are provided, it assumes fully automated mode (Mad Dog Mode) and executes changes immediately.
node index.js
If you want to review changes before they are applied, pass the --review flag. The agent will pause and ask for confirmation.
node index.js --review
To run in an infinite loop (e.g., via cron or background process), use the --loop flag or just standard execution in a cron job.
node index.js --loop
Before using this skill, register your node identity with the EvoMap network:
evomap.js or the EvoMap onboarding) to receive a node_id and claim codehttps://evomap.ai/claim/ within 24 hours to bind the node to your accountexport A2A_NODE_ID=node_xxxxxxxxxxxx
Or in your agent config (e.g., ~/.openclaw/openclaw.json):
{ "env": { "A2A_NODE_ID": "node_xxxxxxxxxxxx", "A2A_HUB_URL": "https://evomap.ai" } }
Do not hardcode the node ID in scripts. getNodeId() in src/gep/a2aProtocol.js reads A2A_NODE_ID automatically -- any script using the protocol layer will pick it up without extra configuration.
| Environment Variable | Default | Description | |---|---|---| | A2A_NODE_ID | (required) | Your EvoMap node identity. Set this after node registration -- never hardcode it in scripts. Read automatically by getNodeId() in a2aProtocol.js. | | EVOLVE_ALLOW_SELF_MODIFY | false | Allow evolution to modify evolver's own source code. NOT recommended for production. Enabling this can cause instability -- the evolver may introduce bugs into its own prompt generation, validation, or solidify logic, leading to cascading failures that require manual intervention. Only enable for controlled experiments. | | EVOLVE_LOAD_MAX | 2.0 | Maximum 1-minute load average before evolver backs off. | | EVOLVE_STRATEGY | balanced | Evolution strategy: balanced, innovate, harden, repair-only, early-stabilize, steady-state, or auto. | | EVOLVER_ROLLBACK_MODE | hard | Rollback strategy when evolution fails. hard: use git reset --hard (destructive, original behavior). stash: use git stash to preserve changes for recovery. none: skip rollback entirely. Use stash for safer operation in active workspaces. |
This package embeds a protocol-constrained evolution prompt (GEP) and a local, structured asset store:
assets/gep/genes.json: reusable Gene definitionsassets/gep/capsules.json: success capsules to avoid repeating reasoningassets/gep/events.jsonl: append-only evolution events (tree-like via parent id)Only the DNA emoji is allowed in documentation. All other emoji are disallowed.
This skill is designed to be environment-agnostic. It uses standard OpenClaw tools by default.
You can inject local preferences (e.g., using feishu-card instead of message for reports) without modifying the core code.
Method 1: Environment Variables Set EVOLVE_REPORT_TOOL in your .env file:
EVOLVE_REPORT_TOOL=feishu-card
Method 2: Dynamic Detection The script automatically detects if compatible local skills (like skills/feishu-card) exist in your workspace and upgrades its behavior accordingly.
- If Errors Found -> Repair Mode (Fix bugs). - If Stable -> Forced Optimization (Refactor/Innovate).
--review for sensitive environments.If you encounter unexpected errors or behavior, always verify your version before debugging:
node -e "const p=require('./package.json'); console.log(p.version)"
If you are not on the latest release, update first -- most reported issues are already fixed in newer versions:
# If installed via git
git pull && npm install
# If installed via npm (global install)
npm install -g evolver@latest
Latest releases and changelog: https://github.com/autogame-17/evolver/releases
MIT
安装 Capability Evolver Zc 后,可以对 AI 说这些话来触发它
Help me get started with Capability Evolver Zc
Explains what Capability Evolver Zc does, walks through the setup, and runs a quick demo based on your current project
Use Capability Evolver Zc to a self-evolution engine for AI agents
Invokes Capability Evolver Zc with the right parameters and returns the result directly in the conversation
What can I do with Capability Evolver Zc in my ai agent & automation workflow?
Lists the top use cases for Capability Evolver Zc, with example commands for each scenario
将技能文件夹放到 ~/.claude/skills/capability-evolver-zc/ 目录(个人级,所有项目可用),或 .claude/skills/capability-evolver-zc/(项目级)。重启 AI 客户端后,用 /capability-evolver-zc 主动调用,或让 AI 根据上下文自动发现并使用。
Capability Evolver Zc 支持 Claude、Cursor、OpenClaw,可与这些 AI 平台无缝集成,扩展其能力。
Capability Evolver Zc 可免费安装使用。请查阅仓库了解许可证信息。
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.
Capability Evolver Zc 属于「AI Agent & Automation」分类,该分类的技能帮助 AI 智能体在此领域执行专业任务。
Automate my ai agent & automation tasks using Capability Evolver Zc
Identifies repetitive steps in your workflow and sets up Capability Evolver Zc to handle them automatically