GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Good fit when
- Use prompt-patterns for designing structured prompts to guide AI thinking in specific frameworks when working on projects that require maintaining a clear cognitive structure.
- Utilize the tool if your project targets an evaluation of AI decision-making processes where imparting human-like thought patterns is critical.
Avoid when
- Avoid prompt-patterns for real-time applications or situations requiring dynamic, contextually adaptive prompts, as it might lack flexibility compared to more generalized frameworks.
- Do not use if your project's requirements revolve around innovative and unstructured AI interactions; this tool is best for structured environments.
- Requirements:
- The repository does not specify system requirements.; Details about compatible AI models, frameworks, and the expected environment setup remain unspecified in the provided information.
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (1278d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/phodal/prompt-patternsSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A collection of patterns for designing prompts to impart cognitive frameworks onto machines.
Capability facts
No sourced capability facts yet. Facts appear after ingest scans repo manifests (Dockerfile, package.json, MCP configs).
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
ChatGPT Simple CheatsheetSource link
Tags
README
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。 我们非常感谢您对本书的关注和支持，并欢迎您为该项目做出贡献！您可以通过以下方式参与本书的开发： 发现问题并报告：如果您在使用本书时发现任何问题或错误，请在项目的 Issue 页面中提出问题，我们将尽快修复。 编写和改进章节：如果您想要贡献新的章节或者改进现有的章节，欢迎您提交 Pul...
For agents
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