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openxcn

Superpowers Cn

by openxcn · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
594
Downloads
0
Stars
2
Active Installs
1
Versions
Install in OpenClaw
/install superpowers-cn
Description
中文AI工作流框架 - 先理解需求再执行,让AI做事更有逻辑
Usage Guidance
This skill appears coherent and low-risk: it implements a local workflow framework (clarify → plan → execute → review), does not request secrets, and contains no network or shell calls. Before installing, verify the source (no homepage provided and README references a placeholder GitHub account) and the author identity (metadata ownerId in the registry differs from _meta.json ownerId). Also review how you'll integrate it: the execute stage will call task.execute() — make sure the agent or callers cannot supply untrusted code or privileged operations as tasks. If you plan to run it in production, test it in a sandboxed environment first and audit any modifications you or your agent make when wiring it into your assistant.
Capability Analysis
Type: OpenClaw Skill Name: superpowers-cn Version: 1.0.0 The 'superpowers-cn' skill bundle is a structured workflow framework designed to improve AI task execution by enforcing a 'Clarify-Plan-Execute-Review' cycle. The code (found in workflows/ and example/) consists of standard JavaScript utility functions for string manipulation and task state management. There is no evidence of data exfiltration, malicious execution, or harmful prompt injection; the instructions in SKILL.md and README.md are focused entirely on improving the logical flow of the AI agent's responses.
Capability Assessment
Purpose & Capability
Name/description (AI workflow: clarify → plan → execute → review) align with the provided code files (clarify.js, plan.js, execute.js, review.js) and examples. The code implements the described stages and does not require unrelated capabilities.
Instruction Scope
SKILL.md stays within the stated workflow and gives no instructions to read system files or call external endpoints. Implementation is local and uses console logging. One operational note: executePlan calls each task.execute() — the skill will run whatever function or action is supplied as a task. Ensure any integration does not pass untrusted or privileged operations as task.execute() to avoid abuse.
Install Mechanism
No install spec (instruction-only skill) and no downloads or package installs. Files are static JS modules; nothing is written to disk by an installer. Low install-related risk.
Credentials
The skill declares no required environment variables, credentials, or config paths, and the code does not read environment variables or secret files. Requested privileges are proportional to its purpose.
Persistence & Privilege
always:false (no forced always-on). The skill does not modify other skills or global agent settings and does not request permanent presence or elevated privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install superpowers-cn
  3. After installation, invoke the skill by name or use /superpowers-cn
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- 首次发布:推出 Superpowers CN 中文 AI 工作流框架 - 引入“四步工作流”方法:澄清需求、制定设计、分解任务、执行验证 - 支持中文开发场景,提升AI任务执行的逻辑性及有序性 - 内置常用触发词,快速激活工作流 - 提供实际工作流示例,助力用户上手
Metadata
Slug superpowers-cn
Version 1.0.0
License MIT-0
All-time Installs 2
Active Installs 2
Total Versions 1
Frequently Asked Questions

What is Superpowers Cn?

中文AI工作流框架 - 先理解需求再执行,让AI做事更有逻辑. It is an AI Agent Skill for Claude Code / OpenClaw, with 594 downloads so far.

How do I install Superpowers Cn?

Run "/install superpowers-cn" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Superpowers Cn free?

Yes, Superpowers Cn is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Superpowers Cn support?

Superpowers Cn is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Superpowers Cn?

It is built and maintained by openxcn (@openxcn); the current version is v1.0.0.

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