RRepoGEO

REPOGEO REPORT · LITE

feiskyer/claude-code-settings

Default branch main · commit 4863dd27 · scanned 5/19/2026, 7:20:11 PM

GitHub: 1,515 stars · 221 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
27 /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
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 feiskyer/claude-code-settings, 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
    Clarify README's opening to position as Claude Code enhancement

    Why:

    CURRENT
    A curated collection of Claude Code settings, skills and sub-agents designed for enhanced development workflows.
    COPY-PASTE FIX
    This repository offers a specialized collection of settings, skills, and sub-agents *to extend and enhance Claude Code's capabilities* for advanced development workflows, including spec-driven feature development and code analysis. It is not a standalone AI coding assistant, but a powerful configuration layer for Claude Code users.
  • mediumtopics#2
    Remove competitor names and broad terms from topics

    Why:

    CURRENT
    agentic-ai, agents, ai, claude-code, claude-skills, codex, copilot, kiro, litellm, spec-driven-development, vibe-coding
    COPY-PASTE FIX
    claude-code, claude-skills, claude-agents, kiro, spec-driven-development, vibe-coding, ai-coding-settings, workflow-automation, developer-productivity
  • lowabout#3
    Expand description to highlight value and specific use cases

    Why:

    CURRENT
    Claude Code settings, commands and agents for vibe coding
    COPY-PASTE FIX
    Enhance Claude Code with a curated collection of settings, commands, and specialized agents for advanced development workflows, including spec-driven feature development, code analysis, and improved developer productivity.

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 feiskyer/claude-code-settings
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. langchain-ai/langchain · recommended 1×
  3. run-llama/llama_index · recommended 1×
  4. VS Code Extensions API · recommended 1×
  5. GitHub Copilot · recommended 1×
  • CATEGORY QUERY
    How to customize AI coding assistants for better development workflow automation?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. LangChain (langchain-ai/langchain)
    3. LlamaIndex (run-llama/llama_index)
    4. VS Code Extensions API
    5. GitHub Copilot
    6. Hugging Face Transformers Library (huggingface/transformers)

    AI recommended 6 alternatives but never named feiskyer/claude-code-settings. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best AI agents for spec-driven feature development and code analysis?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Enterprise
    2. Cursor
    3. Codeium
    4. Tabnine
    5. CodiumAI
    6. DeepCode AI
    7. Amazon CodeWhisperer

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