RRepoGEO

REPOGEO REPORT · LITE

apify/agent-skills

Default branch main · commit ef25b452 · scanned 5/24/2026, 12:58:13 AM

GitHub: 2,068 stars · 220 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
23 /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
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 apify/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
  • highabout#1
    Update repository description to clarify purpose for AI agents

    Why:

    CURRENT
    Collection of Apify Agent Skills
    COPY-PASTE FIX
    Production-grade web scraping and automation skills for AI coding agents, leveraging the Apify platform.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    apify, ai-agents, web-scraping, automation, llm-tools, agent-skills, ai-coding, data-extraction
  • highlicense#3
    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, containing the text of a common open-source license such as MIT.

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 apify/agent-skills
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Playwright
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Playwright · recommended 2×
  2. Selenium WebDriver · recommended 2×
  3. Puppeteer · recommended 2×
  4. Scrapy · recommended 2×
  5. Apify SDK · recommended 2×
  • CATEGORY QUERY
    How to integrate advanced web scraping and automation functionalities into AI coding agents?
    you: not recommended
    AI recommended (in order):
    1. Playwright
    2. Selenium WebDriver
    3. Puppeteer
    4. Beautiful Soup 4 (bs4)
    5. Requests
    6. Scrapy
    7. Apify SDK
    8. Oxylabs
    9. Bright Data

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

    Show full AI answer
  • CATEGORY QUERY
    What frameworks provide AI agents with production-grade web data extraction and interaction skills?
    you: not recommended
    AI recommended (in order):
    1. Playwright
    2. Puppeteer
    3. Selenium WebDriver
    4. Scrapy
    5. Beautiful Soup
    6. Apify SDK
    7. Robocorp

    AI recommended 7 alternatives but never named apify/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
    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 apify/agent-skills?
    pass
    AI did not name apify/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 apify/agent-skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named apify/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 apify/agent-skills solve, and who is the primary audience?
    pass
    AI named apify/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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apify/agent-skills — RepoGEO report