RRepoGEO

REPOGEO REPORT · LITE

HughYau/qiushi-skill

Default branch main · commit 6cac8a56 · scanned 5/28/2026, 7:58:16 AM

GitHub: 3,166 stars · 237 forks

AI VISIBILITY SCORE
33 /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
2 / 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 HughYau/qiushi-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
  • highabout#1
    Clarify the 'about' description to prevent miscategorization

    Why:

    CURRENT
    求是Skill——从经典唯物辩证法与实践哲学中提炼出一条总原则和九大方法论工具武装AI大脑。Qiushi-Skill: Build agents that investigate first, focus on the main contradiction, validate in practice, and keep pushing until the work is actually done.
    COPY-PASTE FIX
    Qiushi-Skill is a collection of AI agent *methodologies* and *cognitive tools*, derived from classical materialist dialectics and practical philosophy, to equip AI with structured problem-solving abilities. It is NOT an Alexa skill or related to any specific publication or joke platform.
  • highreadme#2
    Add a prominent English 'What is Qiushi-Skill?' section to the README

    Why:

    COPY-PASTE FIX
    Add this section immediately after the H1 and language links:
    
    ## What is Qiushi-Skill?
    
    **Qiushi-Skill is a collection of AI agent methodologies and cognitive tools, NOT an Alexa skill or related to any specific publication or joke platform.** It extracts a general principle and nine methodological tools from classical materialist dialectics and practical philosophy to systematically equip AI with structured problem-solving abilities. This project provides actionable methodologies, not slogans or personality distillation.
  • mediumtopics#3
    Refine topics to better reflect philosophical and cognitive aspects

    Why:

    CURRENT
    ai-agents, methodology, skills, workflow
    COPY-PASTE FIX
    ai-agents, methodology, philosophy, dialectics, cognitive-tools, problem-solving, workflow

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 HughYau/qiushi-skill
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. Auto-GPT · recommended 1×
  3. BabyAGI · recommended 1×
  4. Toolformer · recommended 1×
  5. Gorilla · recommended 1×
  • CATEGORY QUERY
    How to equip AI agents with better critical thinking and structured problem-solving skills?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Auto-GPT
    3. BabyAGI
    4. Toolformer
    5. Gorilla
    6. Neo4j
    7. Pydantic

    AI recommended 7 alternatives but never named HughYau/qiushi-skill. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What methodologies exist for making AI agents more effective at investigation and practical validation?
    you: not recommended
    AI recommended (in order):
    1. OpenAI's API
    2. Hugging Face's TRL
    3. scikit-learn
    4. modAL
    5. LightTag
    6. Unity 3D
    7. Gazebo
    8. AirSim
    9. Microsoft Counterfit
    10. IBM Adversarial Robustness Toolbox (ART)
    11. LIME
    12. SHAP
    13. Google's What-If Tool
    14. Mesa
    15. CPN Tools
    16. LangChain

    AI recommended 16 alternatives but never named HughYau/qiushi-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
    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 HughYau/qiushi-skill?
    pass
    AI named HughYau/qiushi-skill explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts HughYau/qiushi-skill in production, what risks or prerequisites should they evaluate first?
    pass
    AI named HughYau/qiushi-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 HughYau/qiushi-skill solve, and who is the primary audience?
    pass
    AI did not name HughYau/qiushi-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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