RRepoGEO

REPOGEO REPORT · LITE

CreminiAI/skillpack

Default branch main · commit ab157f26 · scanned 6/17/2026, 12:18:18 AM

GitHub: 687 stars · 68 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 CreminiAI/skillpack, 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 the README to clarify its unique focus on AI agents

    Why:

    CURRENT
    Skillpack helps teams turn AI skills into trusted local agents that can run in their own environment and be used directly from **Slack** and **Telegram**. Our vision is to achieve distributed intelligence network, much like cremini mushrooms that grow from a vast, interconnected mycelial network.
    COPY-PASTE FIX
    Skillpack helps teams turn AI skills into trusted local agents that can run in their own environment and be used directly from **Slack** and **Telegram**. Unlike general software packaging tools (e.g., Docker, PyInstaller) or broad LLM orchestration frameworks (e.g., LangChain), SkillPack is purpose-built for packaging and deploying *local AI agents* with a focus on team integration and data privacy. Our vision is to achieve distributed intelligence network, much like cremini mushrooms that grow from a vast, interconnected mycelial network.
  • mediumtopics#2
    Add more specific topics to emphasize AI agent deployment and local execution

    Why:

    CURRENT
    agent, agent-skills, agentic, agentic-ai, agentic-workflow, ai-skills
    COPY-PASTE FIX
    agent, agent-skills, agentic, agentic-ai, agentic-workflow, ai-skills, ai-agent-deployment, local-ai-agents, team-ai-agents, private-ai-agents, slack-integration, telegram-integration
  • lowreadme#3
    Add a dedicated comparison section to the README

    Why:

    COPY-PASTE FIX
    ## Why SkillPack? (vs. LangChain, Docker, and other tools)

SkillPack is not a general-purpose software packaging tool like Docker or PyInstaller; it's specifically for AI agents. Unlike broad LLM orchestration frameworks such as LangChain or LlamaIndex, SkillPack focuses on lightweight, minimal-dependency packaging and local deployment of specific AI skills, making it ideal for teams prioritizing data privacy and direct integration with existing tools like Slack and Telegram.

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 CreminiAI/skillpack
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Docker
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Docker · recommended 1×
  2. python-poetry/poetry · recommended 1×
  3. conda/conda · recommended 1×
  4. pyinstaller/pyinstaller · recommended 1×
  5. streamlit/streamlit · recommended 1×
  • CATEGORY QUERY
    How can I package and deploy AI agents locally for my team's internal tools?
    you: not recommended
    AI recommended (in order):
    1. Docker
    2. Poetry (python-poetry/poetry)
    3. Conda (conda/conda)
    4. PyInstaller (pyinstaller/pyinstaller)
    5. Streamlit (streamlit/streamlit)
    6. FastAPI (tiangolo/fastapi)

    AI recommended 6 alternatives but never named CreminiAI/skillpack. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help integrate custom AI agents with Slack/Telegram while maintaining data privacy?
    you: not recommended
    AI recommended (in order):
    1. Botpress (botpress/botpress)
    2. Rasa (RasaHQ/rasa)
    3. Microsoft Azure Bot Service
    4. Azure Cognitive Services
    5. Google Cloud Dialogflow CX
    6. AWS Lex
    7. AWS Lambda
    8. API Gateway
    9. Python
    10. Flask (pallets/flask)
    11. Django (django/django)
    12. Node.js (nodejs/node)
    13. Express (expressjs/express)
    14. Slack API
    15. Telegram Bot API
    16. spaCy (explosion/spaCy)
    17. NLTK (nltk/nltk)

    AI recommended 17 alternatives but never named CreminiAI/skillpack. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 CreminiAI/skillpack?
    pass
    AI named CreminiAI/skillpack explicitly

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

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

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

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