RRepoGEO

REPOGEO REPORT · LITE

am-will/codex-skills

Default branch main · commit d3983b15 · scanned 6/14/2026, 11:57:45 AM

GitHub: 948 stars · 54 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
3 / 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 am-will/codex-skills, 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

2 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:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root. Choose an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) and add its text.
  • mediumreadme#2
    Clarify README's opening to emphasize 'skills for agents' vs. 'agents themselves'

    Why:

    CURRENT
    # CodexSkills

A collection of Codex/agent skills for planning, documentation access, frontend development, and browser automation.
    COPY-PASTE FIX
    # CodexSkills: A Collection of Advanced Skills for AI Agents

This repository provides a curated collection of Python skills designed to be integrated with AI agent frameworks and LLM orchestration systems (like LangChain, CrewAI, or AutoGen). These skills empower your agents to perform complex tasks such as detailed implementation planning, efficient documentation access, frontend development, and robust browser automation.

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 am-will/codex-skills
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ChatGPT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ChatGPT · recommended 1×
  2. Claude · recommended 1×
  3. Google Gemini · recommended 1×
  4. GitHub Copilot Chat · recommended 1×
  5. Perplexity AI · recommended 1×
  • CATEGORY QUERY
    How to use AI to generate detailed implementation plans and break down features?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. Claude
    3. Google Gemini
    4. GitHub Copilot Chat
    5. Perplexity AI

    AI recommended 5 alternatives but never named am-will/codex-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a multi-agent system to synthesize complex task plans from multiple AI models.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. CrewAI
    3. AutoGen
    4. Haystack
    5. SPADE
    6. Mesa

    AI recommended 6 alternatives but never named am-will/codex-skills. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 am-will/codex-skills?
    pass
    AI named am-will/codex-skills explicitly

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

  • If a team adopts am-will/codex-skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named am-will/codex-skills 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 am-will/codex-skills solve, and who is the primary audience?
    pass
    AI named am-will/codex-skills explicitly

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

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am-will/codex-skills — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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