RRepoGEO

REPOGEO REPORT · LITE

snarktank/ai-dev-tasks

Default branch main · commit efbffaac · scanned 5/29/2026, 9:37:47 AM

GitHub: 7,738 stars · 1,740 forks

AI VISIBILITY SCORE
28 /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
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 snarktank/ai-dev-tasks, 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 paragraph to clarify its core purpose

    Why:

    CURRENT
    Welcome to **AI Dev Tasks**! This repository provides a collection of markdown files designed to supercharge your feature development workflow with AI-powered IDEs and CLIs. These tools work with any AI coding assistant including Amp, Claude Code, Windsurf, and others. By leveraging these structured prompts, you can systematically approach building features, from ideation to implementation, with built-in checkpoints for verification.
    COPY-PASTE FIX
    Welcome to **AI Dev Tasks**! This repository offers a structured task management system and workflow, using markdown files, to guide AI coding assistants and supercharge your feature development. It helps you systematically approach building complex features with any AI coding assistant (Amp, Claude Code, Windsurf, etc.), breaking down large requests into manageable, verifiable steps.
  • mediumabout#2
    Refine the repository description for clarity

    Why:

    CURRENT
    A simple task management system for managing AI dev agents
    COPY-PASTE FIX
    A structured task management system and workflow for guiding AI coding assistants through complex feature 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 snarktank/ai-dev-tasks
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Actions
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Actions · recommended 2×
  2. GitLab CI/CD · recommended 2×
  3. Scrum · recommended 1×
  4. Kanban · recommended 1×
  5. Feature-Driven Development (FDD) · recommended 1×
  • CATEGORY QUERY
    How to structure AI agent development tasks for complex feature implementation?
    you: not recommended
    AI recommended (in order):
    1. Scrum
    2. Kanban
    3. Feature-Driven Development (FDD)
    4. Domain-Driven Design (DDD)
    5. Test-Driven Development (TDD)
    6. Git
    7. GitHub
    8. GitLab
    9. Jenkins
    10. GitHub Actions
    11. GitLab CI/CD

    AI recommended 11 alternatives but never named snarktank/ai-dev-tasks. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a workflow to guide AI coding assistants through step-by-step feature building.
    you: not recommended
    AI recommended (in order):
    1. Jira
    2. GitHub Issues
    3. Linear
    4. Confluence
    5. Notion
    6. Google Docs
    7. Microsoft Word
    8. GitHub Copilot
    9. ChatGPT
    10. Claude
    11. VS Code (microsoft/vscode)
    12. IntelliJ IDEA
    13. PyCharm
    14. GitHub Copilot Chat
    15. Cursor
    16. GitHub Pull Requests
    17. GitLab Merge Requests
    18. Codeium
    19. Swimm
    20. GitHub Actions
    21. GitLab CI/CD
    22. Jenkins (jenkinsci/jenkins)

    AI recommended 22 alternatives but never named snarktank/ai-dev-tasks. 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 snarktank/ai-dev-tasks?
    pass
    AI named snarktank/ai-dev-tasks explicitly

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

  • If a team adopts snarktank/ai-dev-tasks in production, what risks or prerequisites should they evaluate first?
    pass
    AI named snarktank/ai-dev-tasks 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 snarktank/ai-dev-tasks solve, and who is the primary audience?
    pass
    AI did not name snarktank/ai-dev-tasks — 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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