RRepoGEO

REPOGEO REPORT · LITE

GreatScottyMac/RooFlow

Default branch main · commit 60a801f6 · scanned 6/25/2026, 5:06:46 AM

GitHub: 1,160 stars · 126 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)

3 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 GreatScottyMac/RooFlow, 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's opening to clarify its core purpose

    Why:

    CURRENT
    RooFlow provides an *experimental* set of modes and system prompts designed as an alternative way to interact with the Roo Code VS Code extension.
    COPY-PASTE FIX
    RooFlow is an **experimental VS Code extension enhancement** for **deeply customizing your AI assistant's behavior** within the Roo Code ecosystem. It offers an alternative, **YAML-based system prompt format** for improved efficiency and token usage, providing **persistent project context** for AI-assisted development.
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai-assistant, vs-code-extension, llm-customization, prompt-engineering, token-efficiency, persistent-context, ai-coding
  • mediumabout#3
    Refine About description for clarity on VS Code integration

    Why:

    CURRENT
    RooFlow - Enhanced Memory Bank System with ☢️Footgun Power☢️  Next-gen Memory Bank system with five integrated modes and system-level customization. Uses Roo Code's experimental "Footgun" feature for deep AI assistant customization while maintaining efficient token usage!
    COPY-PASTE FIX
    RooFlow - Enhanced Memory Bank System for VS Code. Deeply customize your AI assistant's behavior within the Roo Code VS Code extension using experimental "Footgun" features, YAML prompts, and persistent project context for efficient token usage.

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 GreatScottyMac/RooFlow
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. Anthropic Claude API · recommended 1×
  3. Hugging Face Transformers Library · recommended 1×
  4. bitsandbytes · recommended 1×
  5. LangChain · recommended 1×
  • CATEGORY QUERY
    How can I deeply customize my AI assistant's behavior for efficient token usage in my IDE?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Anthropic Claude API
    3. Hugging Face Transformers Library
    4. bitsandbytes
    5. LangChain
    6. LlamaIndex
    7. LiteLLM
    8. Guidance

    AI recommended 8 alternatives but never named GreatScottyMac/RooFlow. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which tools provide persistent project context and efficient YAML-based prompts for AI-assisted coding?
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. Continue (continue-team/continue)
    3. aider (paul-gauthier/aider)
    4. Open Interpreter (OpenInterpreter/open-interpreter)
    5. Code Interpreter
    6. GPT-Engineer (gpt-engineer-org/gpt-engineer)
    7. Smol-Developer (smol-ai/smol-developer)

    AI recommended 7 alternatives but never named GreatScottyMac/RooFlow. 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 GreatScottyMac/RooFlow?
    pass
    AI named GreatScottyMac/RooFlow explicitly

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

  • If a team adopts GreatScottyMac/RooFlow in production, what risks or prerequisites should they evaluate first?
    pass
    AI named GreatScottyMac/RooFlow 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 GreatScottyMac/RooFlow solve, and who is the primary audience?
    pass
    AI named GreatScottyMac/RooFlow explicitly

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

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GreatScottyMac/RooFlow — 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