RRepoGEO

REPOGEO REPORT · LITE

sanyuan0704/sanyuan-skills

Default branch main · commit 08b6572e · scanned 5/22/2026, 6:28:00 AM

GitHub: 3,519 stars · 311 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)

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

AI VISIBILITY SCORE
28 /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
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 sanyuan0704/sanyuan-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

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

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai-agents, claude-ai, agent-skills, code-review, ai-tutor, skill-development, generative-ai
  • highabout#2
    Update the repository's About description

    Why:

    CURRENT
    Expert code review skill: SOLID, security, performance, error handling, boundary conditions
    COPY-PASTE FIX
    A collection of production-grade AI agent skills for Claude Code and other AI agent terminals, including code review, AI tutoring, and skill development.
  • mediumreadme#3
    Add an explicit "Purpose" section to the README

    Why:

    COPY-PASTE FIX
    ## Purpose

This repository serves as a curated collection of production-grade AI agent skills designed for use with Claude Code and other AI agent terminals. Each skill is developed to be reusable and directly applicable in various AI-driven workflows, moving beyond a personal knowledge base to offer practical, deployable capabilities.

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 sanyuan0704/sanyuan-skills
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot Enterprise
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot Enterprise · recommended 1×
  2. DeepCode AI (Snyk Code) · recommended 1×
  3. CodeGuru Security (AWS CodeGuru) · recommended 1×
  4. SonarQube · recommended 1×
  5. SonarLint · recommended 1×
  • CATEGORY QUERY
    Need an AI assistant for detailed code quality and security reviews.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Enterprise
    2. DeepCode AI (Snyk Code)
    3. CodeGuru Security (AWS CodeGuru)
    4. SonarQube
    5. SonarLint
    6. SonarCloud
    7. Semgrep
    8. Semgrep AppSec Platform
    9. Tabnine Enterprise
    10. Jira Product Discovery

    AI recommended 10 alternatives but never named sanyuan0704/sanyuan-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I develop and evaluate high-quality AI agent capabilities?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI Evals
    5. Weights & Biases (W&B)
    6. MLflow
    7. Humanloop

    AI recommended 7 alternatives but never named sanyuan0704/sanyuan-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 sanyuan0704/sanyuan-skills?
    pass
    AI named sanyuan0704/sanyuan-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 sanyuan0704/sanyuan-skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named sanyuan0704/sanyuan-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 sanyuan0704/sanyuan-skills solve, and who is the primary audience?
    pass
    AI did not name sanyuan0704/sanyuan-skills — 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?

Embed your GEO score

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sanyuan0704/sanyuan-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