REPOGEO REPORT · LITE

withkynam/vibecode-pro-max-kit

Default branch main · commit 00f13c6e · scanned 6/3/2026, 11:46:39 PM

GitHub: 751 stars · 176 forks

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 withkynam/vibecode-pro-max-kit, 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 core value proposition immediately after H1

Why:

CURRENT

# vibecode-pro-max-kit

<br>

<p align="center">
  
  <br><br>
  <em>"Total Concentration — Spec Breathing, Tenth Form: The Vibe Flow never breaks."</em><br>
  <strong>— Tanjiro Kamado</strong>
</p>

*This meta harness turns any AI coding agent into a spec-driven engineering team that researches, plans, ships production-grade code, and self-improves its memory to survive context-rotting even 6 months later.*

COPY-PASTE FIX

# vibecode-pro-max-kit

*This meta harness turns any AI coding agent into a spec-driven engineering team that researches, plans, ships production-grade code, and self-improves its memory to survive context-rotting even 6 months later.*

<br>

<p align="center">
  
  <br><br>
  <em>"Total Concentration — Spec Breathing, Tenth Form: The Vibe Flow never breaks."</em><br>
  <strong>— Tanjiro Kamado</strong>
</p>

mediumabout#2

Refine repo description to emphasize AI agent orchestration

Why:

CURRENT

Your AI forgets. This remembers. Spec-driven coding harness for vibecoders, product owners, CEOs and real builders — self-improving context memory, 12 agents, 32 skills. Kills context rot, ships features, not spaghetti. Claude Code & Codex. Any stack. 30 seconds

COPY-PASTE FIX

Your AI forgets. This remembers. A spec-driven AI agent orchestration framework for vibecoders, product owners, CEOs and real builders — self-improving context memory, 12 agents, 32 skills. Kills context rot, ships features, not spaghetti. Claude Code & Codex. Any stack. 30 seconds

mediumhomepage#3
Add homepage URL to repo metadata
Why:
COPY-PASTE FIX
```
https://flowser.ai
```

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 withkynam/vibecode-pro-max-kit

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LlamaIndex

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

LlamaIndex · recommended 2×
LangChain · recommended 2×
GPT-4 · recommended 1×
Claude 3 Opus · recommended 1×
GitHub Copilot · recommended 1×

CATEGORY QUERY
How to prevent AI coding assistants from losing context on large projects?
you: not recommended
AI recommended (in order):
1. GPT-4
2. Claude 3 Opus
3. LlamaIndex
4. LangChain
5. GitHub Copilot
6. Cursor
7. Cody by Sourcegraph
8. Tabnine
9. Confluence
10. Notion
AI recommended 10 alternatives but never named withkynam/vibecode-pro-max-kit. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the best AI agent tools for spec-driven development and shipping production code?
you: not recommended
AI recommended (in order):
1. OpenAI GPTs (Custom GPTs) with Assistants API
2. LangChain
3. LlamaIndex
4. AutoGPT
5. Microsoft Semantic Kernel
6. CrewAI
AI recommended 6 alternatives but never named withkynam/vibecode-pro-max-kit. 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 withkynam/vibecode-pro-max-kit?
pass
AI named withkynam/vibecode-pro-max-kit explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts withkynam/vibecode-pro-max-kit in production, what risks or prerequisites should they evaluate first?
pass
AI named withkynam/vibecode-pro-max-kit 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 withkynam/vibecode-pro-max-kit solve, and who is the primary audience?
pass
AI named withkynam/vibecode-pro-max-kit explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of withkynam/vibecode-pro-max-kit. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

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HTML

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite