RRepoGEO

REPOGEO REPORT · LITE

glittercowboy/taches-cc-resources

Default branch main · commit 1757615b · scanned 5/24/2026, 1:22:52 AM

GitHub: 1,931 stars · 404 forks

AI VISIBILITY SCORE
33 /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
2 / 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 glittercowboy/taches-cc-resources, 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's opening paragraph to specify its unique niche

    Why:

    CURRENT
    A growing collection of custom Claude Code resources built for real workflows.
    COPY-PASTE FIX
    A growing collection of battle-tested custom Claude Code prompts, commands, and autonomous skills designed for developers and prompt engineers to build advanced AI workflows.
  • mediumtopics#2
    Add more specific topics to improve query matching

    Why:

    CURRENT
    anthropic, claude, claudecode, commands, prompts, skills, subagents
    COPY-PASTE FIX
    anthropic, claude, claudecode, commands, prompts, skills, subagents, meta-prompting, debugging, ai-workflows, prompt-engineering
  • lowabout#3
    Enhance the repository description for greater specificity

    Why:

    CURRENT
    A collection of my favorite custom Claude Code resources to make life easier.
    COPY-PASTE FIX
    A collection of custom Claude Code resources, including battle-tested prompts, commands, and autonomous skills, designed to streamline advanced AI workflows.

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 glittercowboy/taches-cc-resources
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. OpenAI API · recommended 1×
  4. Microsoft Semantic Kernel · recommended 1×
  5. Haystack · recommended 1×
  • CATEGORY QUERY
    How to create structured prompts and autonomous agent skills for AI assistants?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI API
    4. Microsoft Semantic Kernel
    5. Haystack
    6. Instructor
    7. Marvin
    8. Auto-GPT
    9. BabyAGI

    AI recommended 9 alternatives but never named glittercowboy/taches-cc-resources. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective strategies for meta-prompting and debugging advanced AI workflows?
    you: not recommended
    AI recommended (in order):
    1. MLflow (mlflow/mlflow)
    2. Weights & Biases (W&B) (wandb/wandb)
    3. Git
    4. GitHub
    5. GitLab
    6. Bitbucket
    7. LangChain (langchain-ai/langchain)
    8. LlamaIndex (run-llama/llama_index)
    9. Jinja2 (pallets/jinja)
    10. OpenTelemetry
    11. Datadog
    12. Grafana Loki (grafana/loki)
    13. Python's `logging` module
    14. LangChain Debugging
    15. IPython (ipython/ipython)
    16. Jupyter Notebooks (jupyter/notebook)
    17. VS Code Debugger
    18. Humanloop
    19. Arize AI
    20. `pytest` (pytest-dev/pytest)
    21. PromptLayer
    22. Vellum
    23. OpenAI Playground
    24. Azure OpenAI Studio

    AI recommended 24 alternatives but never named glittercowboy/taches-cc-resources. 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 glittercowboy/taches-cc-resources?
    pass
    AI named glittercowboy/taches-cc-resources explicitly

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

  • If a team adopts glittercowboy/taches-cc-resources in production, what risks or prerequisites should they evaluate first?
    pass
    AI named glittercowboy/taches-cc-resources 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 glittercowboy/taches-cc-resources solve, and who is the primary audience?
    pass
    AI did not name glittercowboy/taches-cc-resources — 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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  • Brand-free category queries5 vs 2 in Lite
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