RRepoGEO

REPOGEO REPORT · LITE

chujianyun/skills

Default branch main · commit 3fed37e6 · scanned 6/6/2026, 7:57:58 PM

GitHub: 630 stars · 89 forks

AI VISIBILITY SCORE
35 /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
3 / 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 chujianyun/skills, 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

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

OVERALL DIRECTION
  • highreadme#1
    Reposition the README H1 to specify category and purpose

    Why:

    CURRENT
    # Skills
    COPY-PASTE FIX
    # Claude Agent Skills: Practical Workflows for AI Instruction & Configuration Optimization
  • lowlicense#2
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    This project's licensing terms are detailed in the LICENSE file. Please consult it for usage rights.

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 chujianyun/skills
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. Weights & Biases · recommended 1×
  3. MLflow · recommended 1×
  4. OpenAI Evals · recommended 1×
  5. Humanloop · recommended 1×
  • CATEGORY QUERY
    Tools to optimize AI agent instructions and project configurations for better performance?
    you: not recommended
    AI recommended (in order):
    1. Weights & Biases
    2. MLflow
    3. LangChain
    4. OpenAI Evals
    5. Humanloop
    6. Optuna
    7. Hydra

    AI recommended 7 alternatives but never named chujianyun/skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Frameworks for building and distributing reusable AI agent capabilities and workflows?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI Assistants API
    5. Microsoft Semantic Kernel
    6. CrewAI
    7. AutoGPT

    AI recommended 7 alternatives but never named chujianyun/skills. 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 chujianyun/skills?
    pass
    AI named chujianyun/skills explicitly

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

  • If a team adopts chujianyun/skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named chujianyun/skills 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 chujianyun/skills solve, and who is the primary audience?
    pass
    AI named chujianyun/skills explicitly

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

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chujianyun/skills — 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