cat9999aaa

cat9999aaa / dev-planner-skill

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🚀 对话式 AI 开发规划师 | 引导小白用 Agent 团队 + MCP 工具把想法变成完整项目

19
1
100% credibility
Found Mar 04, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

This repository offers a conversational skill for AI coding assistants that guides non-technical users from vague ideas to complete software projects via interactive planning, documentation, and automated development.

How It Works

1
💡 Dream up a project

You have a fun idea for something like a note-taking app or a simple website and want to make it real without coding knowledge.

2
🔍 Discover dev-planner-skill

You find this helpful skill on GitHub that turns your AI assistant into a patient project planner for everyday people.

3
📦 Add the skill to your AI buddy

You easily slip the planning guide into your favorite AI chat tool, like Claude or Cursor, so it's ready to help.

4
💬 Share your idea

You simply tell your AI what you want, like 'I want a site to track my books,' and it starts asking friendly questions.

5
❓ Pick options to refine

Through quick choice questions, you shape the size, features, and look of your project without any tech talk.

6
📋 Review your custom plan

Your AI hands you a clear roadmap with all the details, and you give the thumbs up to proceed.

7
🚀 Let the AI team build it

Your AI calls in a virtual team to create documents, code, and tests step by step, keeping you updated.

🎉 Enjoy your new creation

You get a fully working project complete with easy guides to run and use it yourself.

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Star Growth

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AI-Generated Review

What is dev-planner-skill?

dev-planner-skill is a prompt pack you load into AI coding tools like Claude Code, Antigravity, or Cursor to turn casual ideas into complete projects via conversation. It guides users through option-based chats to refine requirements, generates enterprise-grade dev docs, API specs, and style guides, then deploys agent teams for backend, frontend, testing, and docs using MCP tools for GitHub actions, databases, and Docker. No coding knowledge needed—it handles planning, execution, and delivery in Chinese Git commits.

Why is it gaining traction?

It stands out by enforcing a structured workflow: docs-first development with test gates, MCP protocol integration for real-world agent github claude or agent mcp ai setups, and parallel agent teams that avoid chaotic AI coding sessions. Developers notice the order—fuzzy ideas become testable repos fast—unlike raw prompts that wander off-track. The agent mcp framework hooks agent github copilot users wanting agent github repo orchestration without manual glue.

Who should use this?

Non-dev founders dictating app ideas to AI agents, junior devs prototyping with agent mcp tutorials for structured outputs, or indie hackers building MVPs via agent github action flows. Ideal for agent mcp hackathon teams needing quick agent mcp llm planning before coding sprints.

Verdict

Try it if you're deep into agent github code or agent mcp tool ecosystems—its detailed integration guides shine despite 19 stars and 1.0% credibility score signaling early maturity. Low adoption means unproven at scale, but solid docs make it a low-risk experiment for dev planner workflows.

(198 words)

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