RRepoGEO

REPOGEO REPORT · LITE

skillmatic-ai/awesome-agent-skills

Default branch main · commit cdf5ae3f · scanned 5/28/2026, 11:22:47 PM

GitHub: 575 stars · 109 forks

AI VISIBILITY SCORE
27 /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
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 skillmatic-ai/awesome-agent-skills, 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 opening to clarify repo's nature as a resource list

    Why:

    CURRENT
    Curated resources for building and using Agent Skills.
    COPY-PASTE FIX
    This repository, `skillmatic-ai/awesome-agent-skills`, is a comprehensive, curated list of resources for building and using Agent Skills, distinct from agent frameworks or tools.
  • mediumtopics#2
    Refine repository topics to remove irrelevant terms and add descriptive ones

    Why:

    CURRENT
    agent-skills, ai-agents, ai-tools, antigravity, awesome, awesome-list, claude-code, codex, context-engineering, copilot, cursor, deep-agents, gemini-cli, manus, openai, openclaw, openclaw-skills, progressive-disclosure, skills, vscode
    COPY-PASTE FIX
    agent-skills, ai-agents, ai-tools, ai-architecture, awesome, awesome-list, context-engineering, context-management, curated-list, deep-agents, progressive-disclosure, resource-list, skill-md, skills
  • lowcomparison#3
    Add or expand a comparison section to differentiate from agent frameworks

    Why:

    COPY-PASTE FIX
    Consider adding a new section titled 'Awesome Agent Skills vs. Agent Frameworks' or expanding an existing comparison to explicitly state how this repository (as a curated resource list) differs from popular agent frameworks like LangChain, LlamaIndex, or Semantic Kernel.

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 skillmatic-ai/awesome-agent-skills
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 2×
  2. run-llama/llama_index · recommended 2×
  3. microsoft/semantic-kernel · recommended 2×
  4. deepset-ai/haystack · recommended 1×
  5. OpenAI Function Calling / Tool Use · recommended 1×
  • CATEGORY QUERY
    Where can I find resources for building modular capabilities for AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Haystack (deepset-ai/haystack)
    4. OpenAI Function Calling / Tool Use
    5. AutoGPT / BabyAGI
    6. Semantic Kernel (microsoft/semantic-kernel)
    7. Hugging Face Transformers Agents (huggingface/transformers)

    AI recommended 7 alternatives but never named skillmatic-ai/awesome-agent-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best practices for integrating and managing skills in AI agent architectures?
    you: not recommended
    AI recommended (in order):
    1. OpenAPI (Swagger)
    2. JSON Schema
    3. LangChain (langchain-ai/langchain)
    4. LlamaIndex (run-llama/llama_index)
    5. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    6. Consul (hashicorp/consul)
    7. Eureka (Netflix/eureka)
    8. Tenacity (jd/tenacity)
    9. Git
    10. Docker
    11. Kubernetes (kubernetes/kubernetes)
    12. Prometheus (prometheus/prometheus)
    13. Grafana (grafana/grafana)
    14. Elasticsearch (elastic/elasticsearch)
    15. Logstash (elastic/logstash)
    16. Kibana (elastic/kibana)
    17. Datadog
    18. New Relic

    AI recommended 18 alternatives but never named skillmatic-ai/awesome-agent-skills. 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 skillmatic-ai/awesome-agent-skills?
    pass
    AI did not name skillmatic-ai/awesome-agent-skills — 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 skillmatic-ai/awesome-agent-skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named skillmatic-ai/awesome-agent-skills 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 skillmatic-ai/awesome-agent-skills solve, and who is the primary audience?
    pass
    AI did not name skillmatic-ai/awesome-agent-skills — 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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skillmatic-ai/awesome-agent-skills — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite