RRepoGEO

REPOGEO REPORT · LITE

JackyST0/awesome-agent-skills

Default branch main · commit d73a38e0 · scanned 6/12/2026, 10:12:59 AM

GitHub: 564 stars · 74 forks

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 JackyST0/awesome-agent-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 README opening to emphasize "curated list of ready-to-use skills"

    Why:

    CURRENT
    > Modular instruction packages that give AI coding assistants on-demand capabilities for specific tasks, working across Cursor, Claude Code, GitHub Copilot, and more.
    COPY-PASTE FIX
    > This is a curated collection of modular instruction packages, or "agent skills," designed to give AI coding assistants like Cursor, Claude Code, and GitHub Copilot on-demand capabilities for specific tasks. It provides ready-to-integrate solutions, saving developers time and ensuring consistent, high-quality AI assistant performance.
  • mediumtopics#2
    Add more specific topics related to AI agent instructions and pre-built skills

    Why:

    CURRENT
    agent-skills, ai, awesome, awesome-list, claude, copilot, cursor
    COPY-PASTE FIX
    agent-skills, ai, awesome, awesome-list, claude, copilot, cursor, ai-agent-instructions, coding-assistant-skills, llm-skills, pre-built-skills
  • lowcomparison#3
    Add a "Why Choose This List?" section to the README

    Why:

    COPY-PASTE FIX
    ## Why Choose Awesome Agent Skills?
While many resources offer general LLM prompts or broad AI development tools, Awesome Agent Skills stands out by providing a focused, curated collection of *ready-to-integrate, modular instruction packages* specifically for AI coding assistants. Unlike generic prompt lists, these "agent skills" are designed for direct application, saving you time and ensuring consistent, high-quality performance across platforms like Cursor, Claude Code, and GitHub Copilot.

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 JackyST0/awesome-agent-skills
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Hub
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Hub · recommended 1×
  2. OpenAI API Documentation and Cookbook · recommended 1×
  3. Awesome-LLM-Prompting · recommended 1×
  4. Awesome-Code-LLMs · recommended 1×
  5. Anthropic's Claude Documentation and Prompt Engineering Guides · recommended 1×
  • CATEGORY QUERY
    Where can I find pre-built instruction sets to enhance my AI coding assistant's capabilities?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Hub
    2. OpenAI API Documentation and Cookbook
    3. Awesome-LLM-Prompting
    4. Awesome-Code-LLMs
    5. Anthropic's Claude Documentation and Prompt Engineering Guides
    6. Kaggle
    7. Papers With Code
    8. LangChain Hub
    9. LlamaIndex

    AI recommended 9 alternatives but never named JackyST0/awesome-agent-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I add specialized functionalities or custom instructions to my AI development environment?
    you: not recommended
    AI recommended (in order):
    1. Jupyter Notebook Extensions
    2. jupyter-contrib-nbextensions (jupyter-contrib/nbextensions)
    3. JupyterLab Extension Developer Guide
    4. setuptools (pypa/setuptools)
    5. pip (pypa/pip)
    6. Python (by Microsoft) (microsoft/vscode-python)
    7. Jupyter (by Microsoft) (microsoft/vscode-jupyter)
    8. Pylance
    9. Docker
    10. MLflow (mlflow/mlflow)
    11. ipykernel (ipython/ipykernel)

    AI recommended 11 alternatives but never named JackyST0/awesome-agent-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
    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 JackyST0/awesome-agent-skills?
    pass
    AI did not name JackyST0/awesome-agent-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 JackyST0/awesome-agent-skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named JackyST0/awesome-agent-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 JackyST0/awesome-agent-skills solve, and who is the primary audience?
    pass
    AI named JackyST0/awesome-agent-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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JackyST0/awesome-agent-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