RRepoGEO

REPOGEO REPORT · LITE

phodal/prompt-patterns

Default branch master · commit c53f6682 · scanned 5/25/2026, 6:48:06 AM

GitHub: 3,097 stars · 199 forks

AI VISIBILITY SCORE
28 /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
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 phodal/prompt-patterns, 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
  • highlicense#1
    Add a LICENSE file to clarify usage terms

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root containing the full text of your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0). If a custom license is intended, state it clearly in the README and link to the full text.
  • highreadme#2
    Strengthen README's opening to emphasize 'design patterns' and unique value

    Why:

    CURRENT
    # Prompt 编写模式：如何将思维框架赋予机器

欢迎使用集成了这些模式的工具：https://github.com/prompt-engineering/click-prompt

本书旨在介绍一系列的 Prompt 编写模式，以更好地应用 Prompt 对 AI 进行编程。
    COPY-PASTE FIX
    # Prompt 编写模式：如何将思维框架赋予机器

本书旨在提供一套系统的 Prompt 设计模式（Prompt Design Patterns），帮助开发者和研究人员以结构化的方式思考、构建和优化 AI 提示词。通过借鉴软件设计模式的理念，我们将复杂的 Prompt 工程问题抽象为可复用、可组合的模式，从而提升 AI 交互的效率和一致性。

欢迎使用集成了这些模式的工具：https://github.com/prompt-engineering/click-prompt
  • mediumtopics#3
    Add 'prompt-design-patterns' and 'ai-patterns' topics for better categorization

    Why:

    CURRENT
    chatgpt, github-copilot, prompt-engineering, stable-diffusion
    COPY-PASTE FIX
    chatgpt, github-copilot, prompt-engineering, stable-diffusion, prompt-design-patterns, ai-patterns

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 phodal/prompt-patterns
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Playground / ChatGPT Plus Custom Instructions
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Playground / ChatGPT Plus Custom Instructions · recommended 1×
  2. Anthropic's Claude · recommended 1×
  3. LangChain · recommended 1×
  4. Guidance · recommended 1×
  5. Prompt Engineering Guide · recommended 1×
  • CATEGORY QUERY
    Struggling to get consistent results from AI models; need guidance on prompt design?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Playground / ChatGPT Plus Custom Instructions
    2. Anthropic's Claude
    3. LangChain
    4. Guidance
    5. Prompt Engineering Guide
    6. Weights & Biases (W&B Prompts)
    7. Vellum

    AI recommended 7 alternatives but never named phodal/prompt-patterns. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find best practices or design patterns for crafting effective AI prompts?
    you: not recommended
    AI recommended (in order):
    1. OpenAI's Prompt Engineering Guide
    2. Anthropic's "Constitutional AI" and Prompt Engineering Resources
    3. Learn Prompting
    4. DeepLearning.AI's "Generative AI with Large Language Models" and "Prompt Engineering for Developers" Courses
    5. Google's Prompt Engineering Guide
    6. Prompt Engineering Subreddit
    7. Awesome-Prompt-Engineering

    AI recommended 7 alternatives but never named phodal/prompt-patterns. 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 phodal/prompt-patterns?
    pass
    AI did not name phodal/prompt-patterns — 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 phodal/prompt-patterns in production, what risks or prerequisites should they evaluate first?
    pass
    AI named phodal/prompt-patterns 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 phodal/prompt-patterns solve, and who is the primary audience?
    pass
    AI named phodal/prompt-patterns explicitly

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

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phodal/prompt-patterns — 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