jnmetacode/superpowers-zh

🦸 AI 编程超能力 · 中文增强版 — superpowers(116k+ ⭐)完整汉化 + 6 个中国原创 skills,让 Claude Code / Copilot CLI / Hermes Agent / Cursor / Windsurf / Kiro / Gemini CLI 等 16 款 AI...

View on GitHub ↗Jump to charts ↓

Summary Information

Updated 16 minutes ago
Added to GitGenius on September 1st, 2026
Created on March 20th, 2026
Open Issues & Pull Requests: 20 (+0)
GitHub issues: Enabled
Number of forks: 747
Total Stargazers: 8,013 (+0)
Total Subscribers: 34 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 4.8 days
Mean response time: 14.5 days
90th percentile: 37.9 days
Tracked items: 43

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Work labelled "bug" is answered fastest, typically in about 20 hours, while "enhancement" waits about 6 days. Only 12% of issues opened in the past year have been closed. Three people close 97% of everything that gets resolved.

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Open issues: 16
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 42 days
Stale 30+ days: 5
Stale 90+ days: 0

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (22)
  • bug (12)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

Superpowers-zh is a Chinese-localized collection of skills and prompts for AI coding tools that extends the upstream superpowers project with region-specific enhancements.

The tool addresses the challenge of making AI coding assistants genuinely productive by providing curated skills—reusable prompt patterns and workflows—that guide tools like Claude Code, Cursor, Windsurf, Copilot CLI, and others through common development tasks. It bundles complete translations of the original skills alongside six China-specific skills designed for local development practices, covering activities from brainstorming and test-driven development to code review and debugging. Users install skills via npm and the tool configures them for their chosen AI coding environment.

Developers working in Chinese-speaking teams or using Chinese-localized AI tools should consider this if they want structured, battle-tested prompting patterns rather than ad-hoc instructions. The project supports 23 AI coding tools across multiple platforms, making it suitable for teams with heterogeneous tooling. It differs from the upstream superpowers by including localized content and additional skills tailored to Chinese development workflows.

The project maintains active engagement with its user base, regularly addressing tool-specific integration issues—recent updates fixed detection and context-loading problems for Aider, Kiro, and Hermes, and added support for the Crush tool. The maintainers provide detailed release notes documenting fixes and alignment with upstream changes, and they offer complementary free learning resources covering AI coding methodology and agent development. The tool receives ongoing refinement for Windows compatibility and test coverage gaps.