RRepoGEO

REPOGEO REPORT · LITE

antfu/skills

Default branch main · commit 50deaeb2 · scanned 5/18/2026, 5:13:39 PM

GitHub: 4,987 stars · 275 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
35 /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
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 antfu/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
  • highreadme#1
    Reposition the README's opening statement to clarify purpose

    Why:

    CURRENT
    # Anthony Fu's Skills

A curated collection of Agent Skills reflecting Anthony Fu's preferences, experience, and best practices, along with usage documentation for the tools.
    COPY-PASTE FIX
    # Agent Skills Collection by Anthony Fu

A curated collection of pre-configured agent skills and development tools, reflecting Anthony Fu's preferences and best practices for modern JavaScript (Vite/Nuxt) application development. This repository provides ready-to-use functions for AI agents, generated from official documentation and fine-tuned for optimal performance.
  • mediumcomparison#2
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison

Unlike general AI agent frameworks (e.g., LangChain, LlamaIndex) or large language model APIs (e.g., OpenAI API), this repository does not provide tools for building AI agents or interacting with LLMs directly. Instead, antfu/skills offers a curated collection of pre-built, ready-to-use agent skills and development tools designed to be consumed by existing AI agents, particularly for modern JavaScript (Vite/Nuxt) application development.

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 antfu/skills
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Hugging Face Transformers · recommended 1×
  4. OpenAI API · recommended 1×
  5. Anthropic API · recommended 1×
  • CATEGORY QUERY
    How can I provide my AI agent with a robust set of development tools?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Hugging Face Transformers
    4. OpenAI API
    5. Anthropic API
    6. Google Gemini API
    7. Weights & Biases
    8. Docker
    9. Kubernetes
    10. FastAPI
    11. Flask

    AI recommended 11 alternatives but never named antfu/skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking pre-configured agent functions for modern JavaScript application development best practices.
    you: not recommended
    AI recommended (in order):
    1. LangChain.js
    2. LlamaIndex.TS
    3. Autogen
    4. Agent Protocol
    5. OpenAI Assistants API
    6. zod
    7. axios
    8. Hugging Face Agents

    AI recommended 8 alternatives but never named antfu/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 antfu/skills?
    pass
    AI named antfu/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 antfu/skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named antfu/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 antfu/skills solve, and who is the primary audience?
    pass
    AI named antfu/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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antfu/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