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new-project新项目

Agent Skill

new-project 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

371

周安装

15

GitHub Stars

公开资料未说明

下载量

116
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:new-project(新项目)
来源仓库:https://github.com/forever-efficient/pitfal-solutions-website
仓库路径:skills/new-project
安装命令:
npx skills add forever-efficient/pitfal-solutions-website --skill "new-project"
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

AgentSkills.tonpx skills
npx skills add forever-efficient/pitfal-solutions-website --skill "new-project"

简介

new-project 用于发现和安装 AI 代理的技能,增强宿主能力。

  • 适合技能探索、生态集成或动态扩展功能模块。
  • 通过 npx 命令从 forever-efficient/pitfal-solutions-website 仓库安装。
  • 需确认是否允许外部代码执行和网络访问。
  • 建议查阅原始 README 了解具体用法和支持宿主。

SKILL.md

Initialize New Project

IMPORTANT: Every project gets the same skeleton structure, but the CONTENT (architecture, MCP servers, skills, requirements) is unique and must be researched.

Phase 1: Create Skeleton Structure (ALWAYS THE SAME)

mkdir -p {{PROJECT_PATH}}/{docs,.claude/skills}

Create these files immediately (with placeholders):

project/
├── CLAUDE.md                    # Project context
├── .mcp.json                    # MCP servers (empty initially)
├── .claude/
│   ├── settings.json            # Hooks and permissions
│   └── skills/                  # Custom commands
└── docs/
    ├── PRD.md                   # Product requirements
    ├── ARCHITECTURE.md          # System design
    └── REQUIREMENTS.md          # Functional specs

Phase 2: Gather Project Context

Ask user:

  1. Project name and one-line description
  2. Problem being solved - What pain point?
  3. Target users - Who will use this?
  4. Key features - What must it do?
  5. Constraints - Budget, timeline, existing systems?

Phase 3: Research MCP Servers (CRITICAL)

Based on project needs, research available MCP servers:

Search for MCP servers:

Common MCP servers by domain:

DomainServers to Research
AWS Infrastructureterraform, aws-docs, aws-pricing
Paymentsstripe
Databasessqlite, postgres, supabase
Source Controlgithub, gitlab
Communicationslack, discord
AI/MLopenai, anthropic
Productivitynotion, linear, jira
File Operationsfilesystem (always include)

For each potential server, evaluate:

  • Does it solve a real need for this project?
  • What credentials/setup does it require?
  • Will it be used frequently enough to justify the context cost?

Phase 4: Research Skills Needed

Identify repetitive workflows that should become skills:

Universal skills (most projects need):

  • build - Compile/bundle the application
  • test - Run test suite
  • deploy - Push to production

Research project-specific skills:

  • What multi-step processes will be repeated?
  • What commands are complex and error-prone?
  • What workflows need standardization?

Example skill patterns by project type:

TypeSkills to Consider
Web Apppreview, lighthouse, e2e-test
APIapi-test, generate-docs, db-migrate
Mobilebuild-ios, build-android, publish
Datarun-pipeline, validate-data, generate-report
Infrastructureplan, apply, destroy, logs

Phase 5: Research Architecture Options

Don't assume architecture - research what fits:

Questions to answer:

  1. What scale is expected? (users, requests, data volume)
  2. What's the budget constraint?
  3. What does the team already know?
  4. What are similar products built with?

Web search for:

  • "[problem domain] architecture patterns"
  • "[similar product] tech stack"
  • "best practices [technology] 2025"

Phase 6: Fill Planning Documents

With research complete, populate:

CLAUDE.md

  • Project overview and goals
  • Chosen tech stack with rationale
  • MCP servers configured and why
  • Available skills and when to use them
  • Common commands
  • Code standards for this project

docs/PRD.md

  • User personas from Phase 2
  • Feature requirements with priorities
  • Success metrics
  • Timeline and milestones

docs/ARCHITECTURE.md

  • System diagram
  • Data models
  • API design
  • Infrastructure plan

docs/REQUIREMENTS.md

  • Detailed functional requirements (REQ-XXX-NNN format)
  • Non-functional requirements (performance, security)

Phase 7: Configure MCP Servers

Create .mcp.json with researched servers:

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "./"]
    }
    // Add other researched servers
  }
}

Phase 8: Create Initial Skills

For each identified skill, create .claude/skills/{name}/SKILL.md:

---
name: skill-name
description: When to use this skill. Be specific.
---

# Skill Name

Steps to execute...

Phase 9: Initialize Git

cd {{PROJECT_PATH}}
git init
cat > .gitignore << 'EOF'
node_modules/
.env*
.next/
out/
dist/
*.tfstate*
.terraform/
.claude/session.log
.claude/settings.local.json
EOF
git add -A
git commit -m "Initial project setup with Claude Code structure"

Output

Display:

  1. Project structure tree
  2. Configured MCP servers with purpose
  3. Created skills with descriptions
  4. Next steps:

- Add MCP server credentials to environment - Run /mcp to verify server connections - Review and refine PRD with stakeholders - Begin implementation per architecture plan

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

mcpjam

25.67%
按下载量换算30

qwen-code

21.69%
按下载量换算25

windsurf

17.94%
按下载量换算21

zencoder

11.88%
按下载量换算14

crush

7.91%
按下载量换算9

Claude Code

3.36%
按下载量换算4

安全审计

暂无安全审计结果可展示。

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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