RRepoGEO

REPOGEO REPORT · LITE

ComposioHQ/awesome-codex-skills

Default branch master · commit 9c9da64c · scanned 6/17/2026, 10:38:10 PM

GitHub: 13,838 stars · 1,328 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
22 /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
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 ComposioHQ/awesome-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

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 to clarify it's a curated list of *pre-built* skills.

    Why:

    CURRENT
    A curated list of practical Codex skills for automating workflows across the Codex CLI and API.
    COPY-PASTE FIX
    A curated list of practical, ready-to-use Codex skills for automating workflows across the Codex CLI and API, designed for LLM agents seeking pre-built capabilities.
  • highlicense#2
    Add a LICENSE file to the repository.

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • mediumhomepage#3
    Add a homepage URL to the repository settings.

    Why:

    COPY-PASTE FIX
    Add a relevant URL (e.g., to ComposioHQ's main site or a dedicated landing page for Codex skills) in the repository settings under 'About'.

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 ComposioHQ/awesome-codex-skills
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 2×
  2. run-llama/llama_index · recommended 2×
  3. huggingface/transformers · recommended 2×
  4. Zapier NLA (Natural Language Actions) · recommended 1×
  5. microsoft/semantic-kernel · recommended 1×
  • CATEGORY QUERY
    How to find pre-built automation skills for my AI coding agent to interact with external tools?
    you: not recommended
    AI recommended (in order):
    1. LangChain Tools/Agents (langchain-ai/langchain)
    2. LlamaIndex Tools/Agents (run-llama/llama_index)
    3. Zapier NLA (Natural Language Actions)
    4. Microsoft Semantic Kernel Connectors (microsoft/semantic-kernel)
    5. OpenAI Plugins (or custom GPTs with Actions)
    6. Hugging Face Transformers Agents (Tools) (huggingface/transformers)

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

    Show full AI answer
  • CATEGORY QUERY
    Where can I discover practical examples of LLM agent capabilities for workflow automation beyond text generation?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Hugging Face Agents (huggingface/transformers)
    4. OpenAI

    AI recommended 4 alternatives but never named ComposioHQ/awesome-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
    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 ComposioHQ/awesome-codex-skills?
    pass
    AI did not name ComposioHQ/awesome-codex-skills — 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 ComposioHQ/awesome-codex-skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ComposioHQ/awesome-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 ComposioHQ/awesome-codex-skills solve, and who is the primary audience?
    pass
    AI did not name ComposioHQ/awesome-codex-skills — 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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ComposioHQ/awesome-codex-skills — 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