RRepoGEO

REPOGEO REPORT · LITE

zhsama/claude-sub-agent

Default branch main · commit ff1f0256 · scanned 5/31/2026, 7:57:50 PM

GitHub: 585 stars · 107 forks

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 zhsama/claude-sub-agent, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root, choosing an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) and adding its SPDX identifier to the repository settings.
  • hightopics#2
    Expand repository topics to include specific output and purpose

    Why:

    CURRENT
    agent, claude-code, multi-agent-system, workflow
    COPY-PASTE FIX
    agent, claude-code, multi-agent-system, workflow, code-generation, software-development-automation, llm-ops, ai-workflow
  • mediumabout#3
    Enhance the 'About' description for clarity on comprehensive workflow and output

    Why:

    CURRENT
    AI-driven development workflow system built on Claude Code Sub-Agents.
    COPY-PASTE FIX
    A comprehensive AI-driven development workflow system leveraging Claude's Sub-Agents to transform project ideas into production-ready code through specialized, coordinated AI agents.

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 zhsama/claude-sub-agent
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. ChatGPT · recommended 1×
  3. Claude · recommended 1×
  4. GitHub Copilot Chat · recommended 1×
  5. Diagrams.net · recommended 1×
  • CATEGORY QUERY
    How can I automate my entire software development workflow using multiple AI agents?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. Claude
    3. GitHub Copilot Chat
    4. Diagrams.net
    5. Mermaid.js
    6. Architect
    7. GitHub Copilot
    8. Cursor
    9. Code Llama
    10. Tabnine
    11. Testim.io
    12. Applitools
    13. DeepCode AI
    14. GitHub Actions
    15. GitLab CI
    16. Jenkinsfile
    17. OpsRamp
    18. Datadog
    19. Prow
    20. Mintlify
    21. LangChain
    22. Auto-GPT
    23. BabyAGI
    24. Zapier
    25. Make
    26. Snyk Code

    AI recommended 26 alternatives but never named zhsama/claude-sub-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a system to manage a multi-agent AI pipeline for generating production-ready code.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. CrewAI
    3. AutoGen
    4. Haystack
    5. OpenAI Assistants API
    6. LlamaIndex
    7. FastAPI
    8. Flask
    9. Celery
    10. Apache Airflow

    AI recommended 10 alternatives but never named zhsama/claude-sub-agent. 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 zhsama/claude-sub-agent?
    pass
    AI named zhsama/claude-sub-agent explicitly

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

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