RRepoGEO

REPOGEO REPORT · LITE

joeseesun/qiaomu-goal-meta-skill

Default branch main · commit f29e0189 · scanned 6/17/2026, 6:12:54 AM

GitHub: 637 stars · 47 forks

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 joeseesun/qiaomu-goal-meta-skill, 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 H1 and opening paragraph to clarify AI coding assistant focus

    Why:

    CURRENT
    # qiaomu-goal-meta-skill

> 你只想说一句“帮我做个 App”，但 Codex 真正需要的是一个能执行、能验证、知道边界、知道何时停下来的目标。
> qiaomu-goal-meta-skill turns vague work into a copy-ready Codex `/goal` command with defaults, verification, boundaries, and pause conditions.
    COPY-PASTE FIX
    # qiaomu-goal-meta-skill: Structured Task Definition for AI Coding Assistants

> Turn vague requests into precise, executable `/goal` commands for AI coding agents like Codex, complete with verification, boundaries, and iteration policies.
  • hightopics#2
    Add specific topics to improve AI categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai-coding-assistant, llm-agent, task-definition, prompt-engineering, codex, goal-setting-ai, developer-tools
  • mediumhomepage#3
    Add a homepage URL

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://github.com/joeseesun/qiaomu-goal-meta-skill#readme

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 joeseesun/qiaomu-goal-meta-skill
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pytest
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Pytest · recommended 1×
  2. JUnit · recommended 1×
  3. Jest · recommended 1×
  4. OpenAPI Specification · recommended 1×
  5. Pydantic · recommended 1×
  • CATEGORY QUERY
    How to define clear, verifiable tasks for AI coding assistants to prevent failures?
    you: not recommended
    AI recommended (in order):
    1. Pytest
    2. JUnit
    3. Jest
    4. OpenAPI Specification
    5. Pydantic
    6. TypeScript Interfaces/Types
    7. Jira
    8. Trello
    9. README.md
    10. Black
    11. Prettier
    12. requirements.txt
    13. package.json
    14. try-except
    15. try-catch
    16. Zod
    17. Marshmallow

    AI recommended 17 alternatives but never named joeseesun/qiaomu-goal-meta-skill. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need help structuring detailed, executable development goals for large language model coding agents.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym
    2. Farama Gymnasium
    3. Meta AI's Toolformer
    4. Gorilla
    5. LangChain
    6. LlamaIndex
    7. Hugging Face Transformers Agents
    8. Microsoft's AutoGen
    9. Google's DeepMind AlphaCode

    AI recommended 9 alternatives but never named joeseesun/qiaomu-goal-meta-skill. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 joeseesun/qiaomu-goal-meta-skill?
    pass
    AI did not name joeseesun/qiaomu-goal-meta-skill — 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 joeseesun/qiaomu-goal-meta-skill in production, what risks or prerequisites should they evaluate first?
    pass
    AI named joeseesun/qiaomu-goal-meta-skill 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 joeseesun/qiaomu-goal-meta-skill solve, and who is the primary audience?
    pass
    AI did not name joeseesun/qiaomu-goal-meta-skill — 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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joeseesun/qiaomu-goal-meta-skill — 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