RRepoGEO

REPOGEO REPORT · LITE

ciembor/agent-rules-books

Default branch main · commit 9c876361 · scanned 6/29/2026, 11:36:57 PM

GitHub: 2,040 stars · 334 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
33 /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
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 ciembor/agent-rules-books, 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 clarify its unique role

    Why:

    CURRENT
    AGENTS.md rules / skills for Codex, Cursor, Claude Code, distilled from classic software engineering books about refactoring, architecture, DDD and code quality.
    COPY-PASTE FIX
    AGENTS.md provides actionable rules and skills for AI coding agents like Codex, Cursor, and Claude Code. Unlike general AI assistants or raw programming books, this repository distills classic software engineering principles from refactoring, architecture, DDD, and code quality into practical guidance for your agents.
  • mediumtopics#2
    Add specific topics related to AI guidance and prompt engineering

    Why:

    CURRENT
    agent-rules, agent-skills, agents-md, ai-agent, ai-skills, claude-code, claude-code-skills, code-quality, codex, codex-skills, cursor-rules, cursor-skills, domain-driven-design, programming-books, refactoring
    COPY-PASTE FIX
    Add `prompt-engineering`, `ai-guidance`, `agent-guidance`, `ai-prompt-templates` to the existing topics.
  • lowcomparison#3
    Add a 'Comparison' or 'FAQ' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., 'Comparison to other resources' or 'FAQ,' that explicitly addresses how this project differs from AI coding assistants (like Copilot) and classic programming books (like Clean Code), emphasizing its role as an intermediary.

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 ciembor/agent-rules-books
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot / Copilot Chat
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot / Copilot Chat · recommended 1×
  2. ChatGPT / GPT-4 · recommended 1×
  3. Tabnine · recommended 1×
  4. Cursor · recommended 1×
  5. Replit AI · recommended 1×
  • CATEGORY QUERY
    How can I guide my AI coding assistant to write cleaner, more maintainable code?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot / Copilot Chat
    2. ChatGPT / GPT-4
    3. Tabnine
    4. Cursor
    5. Replit AI
    6. Codeium

    AI recommended 6 alternatives but never named ciembor/agent-rules-books. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What resources help integrate classic software design principles into AI code generation?
    you: not recommended
    AI recommended (in order):
    1. Design Patterns: Elements of Reusable Object-Oriented Software
    2. Clean Code: A Handbook of Agile Software Craftsmanship
    3. Software Architecture in Practice
    4. Building Microservices
    5. Machine Learning Design Patterns
    6. Designing Data-Intensive Applications

    AI recommended 6 alternatives but never named ciembor/agent-rules-books. 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 ciembor/agent-rules-books?
    pass
    AI did not name ciembor/agent-rules-books — 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 ciembor/agent-rules-books in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ciembor/agent-rules-books 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 ciembor/agent-rules-books solve, and who is the primary audience?
    pass
    AI named ciembor/agent-rules-books explicitly

    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