RRepoGEO

REPOGEO REPORT · LITE

qdhenry/Claude-Command-Suite

Default branch main · commit e89b2f0b · scanned 5/8/2026, 2:37:38 PM

GitHub: 1,226 stars · 145 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 qdhenry/Claude-Command-Suite, 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
    Add a license statement to the README

    Why:

    COPY-PASTE FIX
    Add the following section to your README:

## License

This project is currently provided without a formal open-source license. Please contact the author for usage permissions. Consider adding a standard open-source license file (e.g., MIT, Apache-2.0) to clarify usage rights.
  • highreadme#2
    Clarify the README's opening statement to emphasize Claude Code integration

    Why:

    CURRENT
    > A comprehensive development toolkit designed following Anthropic's Claude Code Best Practices for AI-assisted software development.
    COPY-PASTE FIX
    > The definitive suite of professional slash commands for Anthropic's Claude Code, enabling structured, AI-assisted software development workflows for code review, feature creation, security auditing, and architectural analysis.
  • mediumtopics#3
    Add more specific topics related to Anthropic Claude and structured AI workflows

    Why:

    CURRENT
    ai-tools, anthropic, claude-code, cli-tools, code-review, developer-tools, productivity, security-audit, slash-commands, software-development, workflow-automation
    COPY-PASTE FIX
    anthropic-claude, claude-ai, claude-code-commands, ai-workflow-automation, structured-ai-prompts, generative-ai-dev, ai-assisted-development, ai-code-review, ai-security-audit, ai-architecture-analysis, cli-tools, developer-tools, productivity, slash-commands

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 qdhenry/Claude-Command-Suite
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Snyk
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Snyk · recommended 2×
  2. GitHub Copilot · recommended 1×
  3. Tabnine · recommended 1×
  4. Cursor · recommended 1×
  5. GitHub Copilot Chat · recommended 1×
  • CATEGORY QUERY
    How can AI-driven slash commands enhance my software development and code review workflows?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Tabnine
    3. Cursor
    4. GitHub Copilot Chat
    5. Codeium
    6. LinearB
    7. DeepSource
    8. SonarQube
    9. Snyk
    10. CodeGuru Reviewer (AWS)
    11. OpenAI's GPT-4
    12. Anthropic's Claude

    AI recommended 12 alternatives but never named qdhenry/Claude-Command-Suite. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI tools offer structured workflows for security auditing and architectural analysis tasks?
    you: not recommended
    AI recommended (in order):
    1. OpenSSF Scorecard (ossf/scorecard)
    2. OWASP Dependency-Track (DependencyTrack/dependency-track)
    3. Snyk
    4. Veracode
    5. Prowler (prowler-cloud/prowler)
    6. Lacework

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

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

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qdhenry/Claude-Command-Suite — 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