RRepoGEO

REPOGEO REPORT · LITE

shinpr/claude-code-workflows

Default branch main · commit 7214dfcb · scanned 6/27/2026, 11:41:48 PM

GitHub: 504 stars · 74 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 shinpr/claude-code-workflows, 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 the README's opening paragraph to specify AI agent-powered development for Claude Code

    Why:

    CURRENT
    End-to-end development workflows for Claude Code that produce code aligned with design docs and tests. Specialized agents handle requirements, design, implementation, and quality checks, so what you get is code that actually passes its tests and matches its design docs.
    COPY-PASTE FIX
    Production-ready **AI agent-powered development workflows** for Claude Code, designed to automate end-to-end software development from requirements to robust, test-passing code. Specialized agents handle requirements, design, implementation, and quality checks, ensuring the generated code passes its tests and matches design documents.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://claude.ai/code
  • mediumtopics#3
    Refine repository topics for greater specificity in AI agent-based code generation

    Why:

    CURRENT
    agent-skills, agentic-ai, ai-agents, automation, claude-code, claude-code-plugin, code-quality, developer-tools, development-workflow, llm-orchestration, productivity, prompt-engineering, skills
    COPY-PASTE FIX
    agent-skills, agentic-ai, ai-agents, automation, claude-code, claude-code-plugin, code-quality, developer-tools, development-workflow, productivity, prompt-engineering, skills, ai-code-generation, ai-software-development, agent-orchestration

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 shinpr/claude-code-workflows
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 2×
  2. LangChain · recommended 2×
  3. LlamaIndex · recommended 2×
  4. GitHub Copilot · recommended 1×
  5. GitHub Actions · recommended 1×
  • CATEGORY QUERY
    How to automate end-to-end software development workflows with AI agents for robust code?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. GitHub Actions
    3. GitLab CI/CD
    4. Jenkins
    5. JUnit
    6. Pytest
    7. SonarQube
    8. ESLint
    9. Cursor
    10. OpenAI API
    11. GPT-4
    12. GPT-3.5
    13. LangChain
    14. LlamaIndex
    15. Anthropic's Claude
    16. Git
    17. Aider
    18. CodiumAI
    19. SWE-agent
    20. Pylint
    21. Checkstyle

    AI recommended 21 alternatives but never named shinpr/claude-code-workflows. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help orchestrate LLMs to produce code aligned with design documents and tests?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Assistants API
    4. Microsoft Semantic Kernel
    5. Haystack
    6. Auto-GPT
    7. BabyAGI
    8. OpenAI API
    9. Anthropic API
    10. Google Gemini API
    11. tenacity

    AI recommended 11 alternatives but never named shinpr/claude-code-workflows. 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 shinpr/claude-code-workflows?
    pass
    AI did not name shinpr/claude-code-workflows — 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 shinpr/claude-code-workflows in production, what risks or prerequisites should they evaluate first?
    pass
    AI named shinpr/claude-code-workflows 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 shinpr/claude-code-workflows solve, and who is the primary audience?
    pass
    AI did not name shinpr/claude-code-workflows — 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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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite