后端测试
- 作者仓库星标 0
- 作者更新于 实时读取
- 作者仓库 skills-registry
- 领域
- 文档
- 兼容 Agent
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- 信任分
- 88 / 100 · 社区维护
- 作者 / 版本 / 许可
- @tomevault-io · 未声明 license
- Token 消耗评级
- 低消耗
- 接入复杂程度
- 即装即用
- 是否需要外部 API Key
- 不需要
- 兼容的系统
- 未声明(默认跨平台)
- 底层运行要求
- Python
- 文件与系统权限
-
- 只读
- 允许写入 / 修改
- 读取环境变量
- 网络行为
- 仅限本地
- 安装命令数
- 26 条
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: new-project
description: Scaffold a new project with the full AI-assisted development workflow — Makefile targets, linter…
category: 文档
runtime: Python
---
# new-project 输出预览
## PART A: 任务判断
- 适用问题:PRD、RFC、README、项目说明或知识库整理。
- 输入要求:目标材料、限制条件、期望输出和验收方式。
- 证据边界:围绕“Process / 1. Interview (if needed) / 2. Initialize the project”读取原文规则,不把推断写成作者承诺。
## PART B: 执行结果
- **01** 任务判断:确认你的需求是否属于PRD、RFC、README、项目说明或知识库整理,并标出输入、限制和预期结果。
- **02** 执行计划:优先按“Process / 1. Interview (if needed) / 2. Initialize the project”拆成步骤,说明每一步会读取什么、修改什么、产出什么。
- **03** 交付结果:给出可复制的命令、文件改动、检查清单或内容草稿,并说明如何继续迭代。
- **04** 风险边界:结合 读取文件、写入/修改文件、读取环境变量、主要在本地完成、通常不需要额外 API Key 给出执行前确认项。
## Running Rules
- 读取文件、写入/修改文件、读取环境变量;主要在本地完成;通常不需要额外 API Key。
- 先小样例验证,再放大到真实任务。
- 交付时同时给结果、检查口径和下一步迭代建议。 原文出现了 `/new-project`、`/architecture`、`/tdd`、`/security`、`/adr` 这类斜杠命令;如果你的 Agent 支持命令触发,优先用命令开场,再补充目标和边界。
告诉 Agent 目标文件或材料、期望结果、不可改范围、是否允许联网或执行命令。本 Skill 的权限画像是:读取文件、写入/修改文件、读取环境变量。
先用一个小任务确认它会围绕“Process / 1. Interview (if needed) / 2. Initialize the project”工作;涉及文件或命令时,先看 diff、日志、预览或测试结果。
检查最终产物是否包含明确结果、必要证据和下一步动作;如果输出泛泛而谈,就补充输入、边界和验收标准后重跑。
---
name: new-project
description: Scaffold a new project with the full AI-assisted development workflow — Makefile targets, linter…
category: 文档
source: tomevault-io/skills-registry
---
# new-project
## 什么时候使用
- 把项目文档方向的常用动作沉淀成 Agent 可调用的技能 适合处理README、PRD、RFC、教程和知识库文档,核心价值是把输入、判断、执行、验证和交付边界固定下来,避免 Agent 泛泛回答。 把任务拆成可执行、可检查、可继续迭代的…
- 面向PRD、RFC、README、项目说明或知识库整理,优先处理能明确输入、步骤和验收标准的工作。
## 需要提供什么
- 目标材料、目录范围、期望结果和不可改动内容。
- 是否允许联网、执行命令、读写文件或调用外部服务。
## 执行规则
- 围绕「Process / 1. Interview (if needed) / 2. Initialize the project」组织步骤,不把推断写成作者事实。
- 读取文件、写入/修改文件、读取环境变量;主要在本地完成;通常不需要额外 API Key。
- 先跑小样例,确认结果可检查后再扩大任务范围。
## 输出要求
- 给出最终产物、关键证据、验证方式和下一步动作。
- 信息不足时标记 unknown,不编造命令、平台或依赖。 作者原文负责流程事实;仓库文件负责来源和命令;流狐只补充适用场景、限制和质量判断。
skill "new-project" {
输入层 -> 用户目标 + 目标文件 + 禁止范围 + 验收标准
上下文层 -> Process / 1. Interview (if needed) / 2. Initialize the project
规则层 -> SKILL.md 触发条件 / 执行顺序 / 输出格式
运行层 -> Python | 读取文件、写入/修改文件、读取环境变量 | 主要在本地完成
安全层 -> 通常不需要额外 API Key + 小任务验证 + diff / 日志复核
输出层 -> 可复制结果 + 检查清单 + 下一步迭代
} Scaffold a new project with the AI-assisted development workflow.
Argument format: <project-name> [language/framework]
<project-name>(required) — name of the project directory to create[language/framework](optional) — the tech stack, used to tailor Makefile targets, linter config, .gitignore, and pre-commit hooks. Examples:python,python/fastapi,go,typescript/nextjs,rust. If omitted, you will be asked.
Examples:
/new-project my-api python/fastapi— creates./my-api/with Python/FastAPI tooling/new-project my-cli go— creates./my-cli/with Go tooling/new-project my-app— creates./my-app/, asks what stack to use
Process
1. Interview (if needed)
If no language/framework was given, ask the user:
- What language/framework?
- What type of project? (API, CLI, library, web app, etc.)
- Any specific tooling preferences? (test framework, linter, etc.)
2. Initialize the project
Create the project directory inside the current working directory and initialize git:
mkdir -p <project-name>
cd <project-name>
git init
The project is created at $PWD/<project-name>/. If you want it elsewhere, cd to the desired parent directory first.
3. Create workflow structure
Create these directories:
.claude/
.claude/agents/
docs/
docs/specs/
docs/roadmap/
docs/adr/
docs/rfc/
Note: Skills are installed globally at ~/.claude/skills/. Do NOT create project-level skill copies — they'd duplicate and drift from the global versions. The global skills (/architecture, /tdd, /security, /adr, /rfc, /spec, /roadmap, /feature, /fix, /review, /autopilot) are already available. For stack-aware code review, install Anthropic's official code-review skill from claude-code-plugins. Only create project-level agents and settings.
4. Create CLAUDE.md
Create a CLAUDE.md at the project root tailored to the language/framework:
# CLAUDE.md
## Build & Test
- `make test` — run test suite
- `make lint` — run linters
- `make typecheck` — type checking (if applicable)
- `make build` — build the project (if applicable)
## Code Style
- [Language-specific conventions that Claude might get wrong]
## Architecture
- [Brief description of project structure]
## Workflow
- All PRs require passing CI + human review
- Commit messages use conventional commits (feat:, fix:, refactor:, chore:)
- Security-sensitive changes require /sec-review before PR
- Features start with a spec in docs/specs/
Adapt the build commands and style section to the chosen language/framework.
5. Create project-level agents
Copy the security-reviewer and architecture-reviewer into .claude/agents/, tailored to the project's language if needed.
6. Create project-level settings
Create .claude/settings.json with hooks appropriate to the language:
{
"hooks": {
"PostToolUse": [
{
"matcher": "Edit|Write",
"command": "make lint-changed 2>&1 | head -20",
"description": "Lint after every file edit"
}
]
}
}
7. Create Makefile
Create a Makefile with standard targets for the chosen language/framework:
test— run testslint— run lintertypecheck— run type checker (if applicable)build— build (if applicable)lint-changed— lint only changed filessecurity-scan— run security scanner (gitleaks, bandit, gosec, etc.)
8. Create .pre-commit-config.yaml
Set up pre-commit hooks:
- Language-appropriate linter
- Type checker (if applicable)
- Test runner
- gitleaks for secret detection
9. Create .gitignore
Appropriate for the language/framework. Always include:
.claude/local files.env- Language-specific build artifacts
10. Create initial docs
Create .gitkeep files to preserve directory structure:
docs/specs/.gitkeepdocs/roadmap/.gitkeepdocs/adr/.gitkeepdocs/rfc/.gitkeep
11. Summary
Tell the user what was created and suggest next steps:
cd <project-name>pre-commit install/prd <project-name>— define what we're building/architecture— define system structure/tdd— define testing strategy, dev environment, CI/CD/security— define the threat model (if applicable)/spec <first-feature>— write your first feature spec/feature docs/specs/<first-feature>.md— implement it
Source: 0xrafasec/ai-workflow — distributed by TomeVault.
先判断是否适合
作者设计意图
作者的方法与取舍
边界和复核