# sogoojoy/awesome-chatgpt-prompts-zh architecture
> Architecture diagram of the GitHub repository sogoojoy/awesome-chatgpt-prompts-zh, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-06-22). It is an AI-made overview: check details against the source.
- Interactive diagram: https://gitdiagram.com/sogoojoy/awesome-chatgpt-prompts-zh
- Repository: https://github.com/sogoojoy/awesome-chatgpt-prompts-zh
## Overview
1. **Repository type**
- This is a **documentation/content repository**, not an application or service.
- Its primary artifact is a large **Markdown prompt catalog** for ChatGPT usage in Chinese.
2. **Core purpose**
- The repo collects “prompt engineering” examples and role-play templates.
- Users copy a prompt from `README.md` into ChatGPT (or a similar LLM) to steer responses.
3. **Main content surface**
- `README.md` is the **main entry point** and effectively the product UI.
- It contains:
- project introduction
- examples of how to use prompts
- a long list of prompt templates by role/task
- links to the upstream repo and mirrors
4. **Usage guidance**
- `USEAGE.md` is a supporting document with examples and walkthrough-style content.
- The README points to it for “picture examples” and more usage cases.
- This makes the repo a **two-layer content system**: overview in README, examples in USEAGE.
5. **Prompt library subsystem**
- The largest subsystem is the **prompt library**, organized as sections such as:
- translation/improvement
- frontend helper
- interviewer/interviewee
- terminal/console emulation
- writing, debating, coaching, analysis, and many other role prompts
- These are mostly self-contained text templates that can be reused as-is.
6. **Interaction model / data flow**
- The flow is simple:
1. user reads a prompt in the repo
2. copies it into ChatGPT as input
3. ChatGPT generates a response according to the template
- There is **no internal execution pipeline**; the LLM is the runtime boundary outside the repo.
7. **Media assets**
- `pic/` stores screenshots or illustrative images referenced by the README/usage docs.
- These assets support the documentation and show expected prompt behavior or example outputs.
8. **External dependencies and boundaries**
- The repo depends conceptually on:
- **OpenAI ChatGPT** as the execution target
- GitHub/Gitee as distribution mirrors
- No code-level dependency graph exists; the architectural boundary is between **static prompt content** and **external AI service**.
9. **Operational characteristics**
- There is no backend, database, API, or build system.
- Maintenance is editorial: adding, editing, or translating prompt templates and examples.
10. **Content structure pattern**
- Most prompt entries follow a repetitive pattern:
- “I want you to act as…”
- task constraints
- output format constraints
- a sample first request
- This consistent pattern is the repo’s main organizational mechanism.
11. **Important implication for diagrams**
- If drawing an architecture diagram, model this repo as:
- a **static content repository** at the center
- markdown docs and images as stored assets
- an external **LLM consumer/execution target**
- users as the primary actors copying content out of the repo
12. **Overall summary**
- Architecturally, this is a **prompt knowledge base** rather than software infrastructure.
- The key “system behavior” happens when humans apply the stored prompts to ChatGPT; the repository itself is just the packaged source of those instructions.
Main entry points: [`README.md`](https://github.com/sogoojoy/awesome-chatgpt-prompts-zh/blob/main/README.md) (README), [`USEAGE.md`](https://github.com/sogoojoy/awesome-chatgpt-prompts-zh/blob/main/USEAGE.md) (Usage guide), [`pic`](https://github.com/sogoojoy/awesome-chatgpt-prompts-zh/tree/main/pic) (Screenshots)
## Diagram (Mermaid)
```mermaid
flowchart TD
subgraph group_docs["Markdown docs"]
node_readme["README
catalog entry
[README.md]"]
node_usage["Usage guide
walkthrough doc
[USEAGE.md]"]
node_prompt_library["Prompt library
template collection"]
node_examples["Examples"]
node_sections["Prompt sections
content taxonomy"]
end
subgraph group_assets["Media assets"]
node_assets[("Screenshots
image set")]
end
subgraph group_external["External boundary"]
node_user(("Reader
human actor"))
node_chatgpt(("ChatGPT
llm runtime"))
node_mirrors["Mirrors
distribution links"]
end
node_user -->|"reads prompts"| node_readme
node_readme -->|"contains"| node_prompt_library
node_prompt_library -->|"organized as"| node_sections
node_readme -->|"points to"| node_usage
node_usage -->|"shows"| node_examples
node_readme -->|"references"| node_assets
node_user -->|"pastes prompt"| node_chatgpt
node_chatgpt -->|"responds"| node_user
node_readme -->|"links to"| node_mirrors
node_usage -->|"illustrates"| node_assets
click node_readme "https://github.com/sogoojoy/awesome-chatgpt-prompts-zh/blob/main/README.md"
click node_usage "https://github.com/sogoojoy/awesome-chatgpt-prompts-zh/blob/main/USEAGE.md"
click node_assets "https://github.com/sogoojoy/awesome-chatgpt-prompts-zh/tree/main/pic"
classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_readme,node_usage,node_prompt_library,node_examples,node_sections toneBlue
class node_assets toneAmber
class node_user,node_chatgpt,node_mirrors toneMint
```
## Components
### Markdown docs
Primary content surface and usage guidance.
- [README](https://github.com/sogoojoy/awesome-chatgpt-prompts-zh/blob/main/README.md): catalog entry · Main entry point and prompt catalog surface. · `README.md`
- [Usage guide](https://github.com/sogoojoy/awesome-chatgpt-prompts-zh/blob/main/USEAGE.md): walkthrough doc · Supporting examples and usage walkthroughs. · `USEAGE.md`
- **Prompt library**: template collection · Reusable role-play and task prompts organized by section.
- **Examples**: usage examples · Sample interactions showing how prompts behave in practice.
- **Prompt sections**: content taxonomy · Translation, frontend, interview, writing, debating, coaching, and other prompt categories.
### Media assets
Illustrative screenshots referenced by the docs.
- [Screenshots](https://github.com/sogoojoy/awesome-chatgpt-prompts-zh/tree/main/pic): image set · Illustrative images used by the docs. · `pic`
### External boundary
Humans and the LLM service outside the repository.
- **Reader**: human actor · Copies prompts from the repo into an LLM chat.
- **ChatGPT**: llm runtime · External model that executes the pasted prompts.
- **Mirrors**: distribution links · References to upstream and mirrored hosting locations.
## Connections
- Reader → README: reads prompts · Primary consumption path from the catalog entry point to the human.
- README → Prompt library: contains · README is the main container for the prompt catalog.
- Prompt library → Prompt sections: organized as · The catalog is split into repeated role/task sections.
- README → Usage guide: points to · README directs readers to the usage walkthroughs.
- Usage guide → Examples: shows · Usage guide provides concrete examples and walkthroughs.
- README → Screenshots: references · Screenshots and illustrations support the docs.
- Reader → ChatGPT: pastes prompt · The human copies a prompt into the external LLM boundary.
- ChatGPT → Reader: responds · The model generates the requested output.
- README → Mirrors: links to · README includes upstream and mirror references.
- Usage guide → Screenshots: illustrates · Usage content is supported by images in pic/.