ai Prompt Repo Plan
# AI Prompt Template Repository Implementation Plan
> **For Claude:** REQUIRED SUB-SKILL: Use superpowers:executing-plans to implement this plan task-by-task.
**Goal:** Build an open-source-ready GitHub template repository from the existing prompt list and expand it with six specialized prompt collections.
**Architecture:** Keep a lightweight Markdown-first repository. Use `README.md` as the main navigation hub, move long-form content into `docs/general/` and `docs/specialized/`, and add a few standard repository files for open-source collaboration.
**Tech Stack:** Markdown, GitHub repository conventions
---
### Task 1: Create the repository structure
**Files:**
- Create: `README.md`
- Create: `.gitignore`
- Create: `LICENSE`
- Create: `CONTRIBUTING.md`
- Create: `docs/general/core-prompt-list.md`
- Create: `docs/specialized/`
**Step 1: Define the file layout**
Create a root-level open-source repository structure with a documentation-first organization.
**Step 2: Add the basic repository files**
Write the minimal standard files needed for GitHub publishing and contribution guidance.
**Step 3: Verify the directory structure**
Confirm all planned directories and root files exist and are named consistently.
### Task 2: Normalize the main prompt collection
**Files:**
- Move: `AI编程高频增强提示词清单_2026-03-10.md` -> `docs/archive/2026-03-10-original-prompt-list.md`
- Create: `docs/general/core-prompt-list.md`
**Step 1: Preserve the original source**
Keep the existing file intact as the original source material.
**Step 2: Create a repository-ready general document**
Move the main content into a clearer GitHub-facing document under `docs/general/`.
**Step 3: Align headings and navigation anchors**
Use predictable headings so README links are stable and easy to maintain.
### Task 3: Write the specialized prompt documents
**Files:**
- Create: `docs/specialized/kubernetes.md`
- Create: `docs/specialized/nginx.md`
- Create: `docs/specialized/shell-bash.md`
- Create: `docs/specialized/python-automation.md`
- Create: `docs/specialized/windows-server-automation.md`
- Create: `docs/specialized/agent-coding-clients.md`
**Step 1: Reuse the established writing format**
For each specialized file, use Chinese explanations and English prompts.
**Step 2: Focus on real engineering scenarios**
Include prompts that match operations, debugging, implementation, review, and documentation tasks relevant to the domain.
**Step 3: Keep the documents independently usable**
Each file should be readable on its own without requiring the main list for context.
### Task 4: Build the README navigation
**Files:**
- Create: `README.md`
**Step 1: Explain what the repository is**
State the purpose, target audience, and formatting rules.
**Step 2: Add quick navigation sections**
Provide direct links to the core list and every specialized document.
**Step 3: Add usage guidance**
Show the basic copy-paste usage pattern and explain how users can extend it.
### Task 5: Validate repository consistency
**Files:**
- Check: `README.md`
- Check: `docs/general/core-prompt-list.md`
- Check: `docs/specialized/*.md`
**Step 1: Check all internal links**
Verify that the README links point to existing files.
**Step 2: Check heading consistency**
Ensure the document titles and section styles match the current Markdown tone.
**Step 3: Review for release readiness**
Confirm the repository reads cleanly as a GitHub open-source starter.when to use it
Community prompt sourced from the open-source GitHub repo seaworld008/ai-coding-prompts-template (MIT). A "ai Prompt Repo Plan" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
productivitycommunitydeveloper
source
seaworld008/ai-coding-prompts-template · MIT
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