REPOGEO REPORT · LITE

jnMetaCode/superpowers-zh

Default branch main · commit b72378bb · scanned 6/26/2026, 9:46:52 PM

GitHub: 5,992 stars · 579 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

27 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

1 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface jnMetaCode/superpowers-zh, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1

Reposition README opening to emphasize 'skills framework' identity

Why:

CURRENT

> 🦸 **superpowers（233k+ ⭐）完整汉化 + 4 个中国原创 skills** — 让 Claude Code / Copilot CLI / Hermes Agent / Cursor / Windsurf / Kiro / Gemini CLI / Qoder 等 **18 款 AI 编程工具**真正会干活。从头脑风暴到代码审查，从 TDD 到调试，每个 skill 都是经过实战验证的工作方法论。

COPY-PASTE FIX

> 🦸 **superpowers-zh 是一个 AI 编程技能与方法论的中文增强版框架**，它为 Claude Code / Copilot CLI / Hermes Agent / Cursor / Windsurf / Kiro / Gemini CLI / Qoder 等 **18 款 AI 编程工具**提供系统化的工作方法论和实战技能，帮助它们真正高效地完成从头脑风暴到代码审查、TDD 到调试等各项任务。

mediumtopics#2

Add more explicit framework-related topics

Why:

CURRENT

agent-skills, agentic-coding, ai-coding, chinese, claude-code, code-review, cursor, gemini-cli, kiro, mcp, npm-package, prompt-engineering, skills, superpowers, tdd, trae

COPY-PASTE FIX

agent-skills, agentic-coding, ai-coding, ai-programming-framework, ai-prompt-collection, chinese, claude-code, code-review, cursor, gemini-cli, kiro, mcp, npm-package, prompt-engineering, skills, superpowers, tdd, trae

lowreadme#3

Add a dedicated 'Problem Solved' section to the README

Why:

COPY-PASTE FIX

## 解决什么问题？

尽管 AI 编程工具功能强大，但开发者在使用时常面临以下挑战：
- **效率瓶颈：** AI 助手难以理解复杂需求，需要大量手动引导。
- **质量参差：** 生成代码质量不稳定，缺乏统一的工作流程和最佳实践。
- **工具碎片化：** 不同 AI 工具之间缺乏通用技能和方法论。

superpowers-zh 通过提供一套经过实战验证的 AI 编程技能与工作方法论，帮助您：
- **提升效率：** 让 AI 助手真正理解并执行复杂任务，减少重复性劳动。
- **保障质量：** 引入 TDD、代码审查等专业流程，确保输出高质量代码。
- **统一实践：** 为多种 AI 编程工具提供通用技能，实现跨工具的高效协作。

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface jnMetaCode/superpowers-zh

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Cursor

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Cursor · recommended 2×
GitHub Copilot · recommended 1×
Tabnine · recommended 1×
ChatGPT · recommended 1×
Google Gemini · recommended 1×

CATEGORY QUERY
How can I make my AI programming assistant more effective for various development workflows?
you: not recommended
AI recommended (in order):
1. GitHub Copilot
2. Tabnine
3. Cursor
4. ChatGPT
5. Google Gemini
6. Replit AI
7. Cody by Sourcegraph
AI recommended 7 alternatives but never named jnMetaCode/superpowers-zh. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking agentic coding skills or frameworks to improve AI tool performance in code review and TDD.
you: not recommended
AI recommended (in order):
1. Cursor
2. GPT-Engineer
3. Smol-developer
4. Auto-GPT
5. LangChain
6. CrewAI
7. OpenAI Assistants API
AI recommended 7 alternatives but never named jnMetaCode/superpowers-zh. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
pass
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of jnMetaCode/superpowers-zh?
pass
AI did not name jnMetaCode/superpowers-zh — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts jnMetaCode/superpowers-zh in production, what risks or prerequisites should they evaluate first?
pass
AI named jnMetaCode/superpowers-zh explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo jnMetaCode/superpowers-zh solve, and who is the primary audience?
pass
AI did not name jnMetaCode/superpowers-zh — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/jnMetaCode/superpowers-zh.svg)](https://repogeo.com/en/r/jnMetaCode/superpowers-zh)

HTML

<a href="https://repogeo.com/en/r/jnMetaCode/superpowers-zh"><img src="https://repogeo.com/badge/jnMetaCode/superpowers-zh.svg" alt="RepoGEO" /></a>

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jnMetaCode/superpowers-zh — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite