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🦀 ClawHub

习惯养成教育追踪系统

by @silent404

家庭教育习惯养成追踪与教育付出记录系统。当用户提及习惯养成、坏习惯干预、记录孩子的行为变化、分析干预效果、教育付出总结、孩子内驱力建立等话题时激活。用于替代用户重复描述背景，直接进行习惯记录、分析和查询。

Versionv1.1.0

#clawhub

Source

Use this skill with your agent

Most visitors already have an agent. Pick your environment, install or copy the workflow, then run the smoke-test prompt above.

Manusinvite

Task-oriented agent. Great for testing AI skills end-to-end.

Try Manus →

OpenClaw

Local-first agent. Install skills via ClawHub CLI.

Set up OpenClaw →

Claude Code

Anthropic's coding agent. Paste the prompt or SKILL.md into your session.

Claude Code docs →

Cursor

AI-powered IDE. Use the smoke-test prompt in Cursor Agent.

Open Cursor →

Continue.dev

Open-source AI code assistant. Add SKILL.md as a custom tool.

Continue docs →

Windsurf

Agentic IDE by Codeium. Paste the prompt into Cascade.

Try Windsurf →

Cline

VS Code extension for autonomous coding with MCP tools.

Cline on GitHub →

Copilot Workspace

GitHub's AI dev environment. Suitable for code-generation skills.

Copilot Workspace →

What to do next

Skills are meant to be used inside your own AI agent. Install it, run a quick smoke test, then ask your agent to apply it to your real task.

Install into your agentCopy the ClawHub install command and run it where your OpenClaw/agent environment is configured.

Run a smoke testUse the test prompt below to confirm the skill loads and understands the workflow before relying on it.

Use it in your own agentPaste your actual task into Manus, OpenClaw, Claude Code, Cursor, or another agent that supports skills.

I just installed the 习惯养成教育追踪系统 skill. Please run a quick smoke test: explain what this skill can do, ask me for the minimum input it needs, then produce one small sample output for a realistic task.