RRepoGEO

REPOGEO REPORT · LITE

FrancyJGLisboa/agent-skill-creator

Default branch main · commit 0e804575 · scanned 5/27/2026, 8:17:52 AM

GitHub: 1,196 stars · 183 forks

AI VISIBILITY SCORE
17 /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
1 / 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 FrancyJGLisboa/agent-skill-creator, 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 H1 to emphasize skill generation from existing content

    Why:

    CURRENT
    # Agent Skill Creator

**Turn any workflow into reusable AI agent software that installs on 14+ tools — no spec writing, no prompt engineering, no coding required.**
    COPY-PASTE FIX
    # Agent Skill Creator

**Automate the generation of AI agent skills from your existing documentation, code, and data, turning any workflow into reusable AI agent software that installs on 14+ tools — no spec writing, no prompt engineering, no coding required.**
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) to clarify usage rights.

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 FrancyJGLisboa/agent-skill-creator
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Custom GPTs
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Custom GPTs · recommended 1×
  2. langchain-ai/langchain · recommended 1×
  3. run-llama/llama_index · recommended 1×
  4. microsoft/semantic-kernel · recommended 1×
  5. deepset-ai/haystack · recommended 1×
  • CATEGORY QUERY
    How to create reusable AI agent skills that work across different platforms?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Custom GPTs
    2. LangChain (langchain-ai/langchain)
    3. LlamaIndex (run-llama/llama_index)
    4. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    5. Haystack (deepset-ai/haystack)
    6. FastAPI (tiangolo/fastapi)
    7. Node.js/Express (expressjs/express)
    8. Spring Boot (spring-projects/spring-boot)
    9. Google Vertex AI Agent Builder
    10. Dialogflow CX

    AI recommended 10 alternatives but never named FrancyJGLisboa/agent-skill-creator. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to automate AI agent skill generation from existing workflows without coding?
    you: not recommended
    AI recommended (in order):
    1. Zapier Interfaces
    2. Make
    3. Microsoft Power Automate
    4. Axiom.ai
    5. Activepieces

    AI recommended 5 alternatives but never named FrancyJGLisboa/agent-skill-creator. 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 FrancyJGLisboa/agent-skill-creator?
    pass
    AI did not name FrancyJGLisboa/agent-skill-creator — 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 FrancyJGLisboa/agent-skill-creator in production, what risks or prerequisites should they evaluate first?
    pass
    AI named FrancyJGLisboa/agent-skill-creator 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 FrancyJGLisboa/agent-skill-creator solve, and who is the primary audience?
    pass
    AI did not name FrancyJGLisboa/agent-skill-creator — 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?

Embed your GEO score

Drop this badge into the README of FrancyJGLisboa/agent-skill-creator. 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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FrancyJGLisboa/agent-skill-creator — 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