经 AI Skill Hub 精选评估,克劳德代码工作流 获评「强烈推荐」。这款Prompt模板在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 8.2 分,适合有一定技术背景的用户使用。
克劳德代码工作流 是经过精心设计和反复验证的专业 Prompt 模板集合。这些 Prompt 框架能够有效激活 Claude、ChatGPT 等大型语言模型的深层能力,让 AI 生成更准确、更有价值的输出结果。无需任何安装,直接复制模板内容到 AI 对话框即可使用。
克劳德代码工作流 是经过精心设计和反复验证的专业 Prompt 模板集合。这些 Prompt 框架能够有效激活 Claude、ChatGPT 等大型语言模型的深层能力,让 AI 生成更准确、更有价值的输出结果。无需任何安装,直接复制模板内容到 AI 对话框即可使用。
# Prompt 无需安装,直接复制使用 # 支持:Claude / ChatGPT / Gemini / 通义千问 等主流模型 # 使用步骤 # 1. 复制 Prompt 模板内容 # 2. 粘贴到 AI 对话框 # 3. 替换 [占位符] 为实际内容 # 4. 发送后获取结构化输出 # 获取原始文件 git clone https://github.com/shinpr/claude-code-workflows
# 粘贴到 Claude/ChatGPT 使用 # 示例 Prompt 结构: 你是一位 [角色],擅长 [领域]。 请根据以下要求完成任务: 任务背景:[描述背景] 具体要求:[详细说明] 输出格式:[期望格式] # 将 [] 内内容替换为实际需求
# claude-code-workflows 配置说明 # 查看配置选项 claude-code-workflows --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量(覆盖配置文件) export CLAUDE_CODE_WORKFLOWS_CONFIG="/path/to/config.yml"
```bash
Install the plugin that matches your project. If the install tells you to run /reload-plugins, do that before invoking the recipe.
```bash
Claude Code supports project-scoped marketplaces and plugins. Commit the resulting .claude/settings.json so contributors are prompted to use the same workflow plugin.
claude plugin marketplace add shinpr/claude-code-workflows --scope project
claude plugin install dev-workflows-fullstack@claude-code-workflows --scope project
Replace dev-workflows-fullstack with the plugin that matches the repository. See the Claude Code plugin documentation for project and managed installation options.
---
Requires a Claude Code release with plugin marketplace support.
All workflow entry points use the recipe- prefix. Type /recipe- and use tab completion to see what the installed plugin provides.
<details> <summary>View all backend and general recipes</summary>
| Recipe | Purpose | When to Use |
|---|---|---|
/recipe-implement | End-to-end feature development | New features, complete workflows |
/recipe-design | Create design documentation | Architecture planning |
/recipe-plan | Generate a work plan from design | Planning phase |
/recipe-build | Execute an existing work plan | Resume implementation |
/recipe-review | Review a completed implementation against the agreed outcome | Post-implementation check |
/recipe-quality-profile | Set repository-specific quality rules | Repository quality rules |
/recipe-diagnose | Investigate a problem and compare solutions | Root cause analysis |
/recipe-reverse-engineer | Derive PRDs and Design Docs from code | Existing-system documentation |
/recipe-add-integration-tests | Add integration or E2E tests | Coverage for existing code |
/recipe-update-doc | Update and review existing documents | Requirement or design changes |
/recipe-task | Run a rule-guided task directly | Work that does not need staged workflow handoffs |
</details>
<details> <summary>View all frontend recipes</summary>
The frontend plugin adds React-specific analysis, component architecture, React Testing Library, TypeScript checks, and applicable UI Spec generation from optional prototype code.
| Recipe | Purpose | When to Use |
|---|---|---|
/recipe-front-design | Create an applicable UI Spec and frontend Design Doc | React component architecture |
/recipe-front-plan | Generate a frontend work plan | Component planning |
/recipe-front-build | Execute a frontend work plan | Resume React implementation |
/recipe-front-adjust | Adjust an implemented UI with external verification | Visual refinements |
/recipe-front-review | Review a completed frontend against the agreed outcome | Post-implementation check |
/recipe-quality-profile | Set repository-specific quality rules | Repository quality rules |
/recipe-diagnose | Investigate a problem and compare solutions | Root cause analysis |
/recipe-update-doc | Update and review existing documents | Requirement or design changes |
/recipe-task | Run a rule-guided task directly | Work that does not need staged workflow handoffs |
</details>
---
English | 简体中文 | 日本語 | Español | 한국어 | Português (Brasil)
Claude Code can explore a codebase deeply. On non-trivial work, the harder problem is convergence. While designing an account-recovery flow, Claude may find a real inconsistency in token handling and spend most of the design on it, leaving the requested recovery behavior vague.
claude-code-workflows keeps that exploration pointed at an agreed result. It agrees on the outcome and exclusions before design, checks designs against the repository, verifies each task before commit, and, on larger changes, independently reviews the finished implementation to make sure it delivers the agreed result, does not include unnecessary changes, and has no serious functional, reliability, or security problems. Within that scope, Claude chooses the implementation details from the codebase.
Use Claude Code directly when the outcome and safe implementation boundary are already clear. Use these workflows when a change needs scope agreement, durable design decisions, a reliable handoff between contexts, or independent verification.
---
The workflow adds agent calls and artifacts, so it should earn that cost. Use it when a real side finding could pull a larger change away from its intended result, a design could be internally consistent but miss the requested behavior, or a passing test could fail to observe what it claims to prove.
Once the implementation scope is approved, Claude carries the tasks through focused verification, repository quality checks, commits, and final review without asking for routine implementation decisions. It asks the user only when the agreed product outcome or exclusions must change; Claude handles technical design and implementation choices. Because the process is packaged as a Claude Code plugin, a team can apply the same controls across repositories without prescribing Claude's steps.
---
The incremental sync feature in mcp-local-rag was a 42-file change across filesystem scanning, storage, and both the CLI and MCP surfaces. An independent security review sent the implementation back twice. It caught file reads happening before validation and a path-containment escape through a symlinked parent.
The run began with an existing Work Plan that referred to an ADR and Design Doc that were not present, leaving the approved source for its technical decisions unclear. The user chose to treat the Work Plan as the source of truth, and the recipe divided it into 13 planned tasks. The final implementation included the changes needed to verify the approved behavior, while the PR records why watch mode and persistent jobs were left out.
Specialized agents keep analysis and design separate from execution and final review. Each plugin includes only the roles its workflows use; the full-stack plugin combines the backend and frontend roles. The complete role list is folded below.
<details> <summary>View all specialized agent roles</summary>
/plugin uninstall dev-skills@claude-code-workflows /plugin install dev-workflows@claude-code-workflows
/plugin uninstall dev-workflows@claude-code-workflows /plugin install dev-skills@claude-code-workflows
</details>
<details>
<summary>View optional add-ons</summary>
These plugins cover adjacent work without changing the core development workflow:
- [claude-code-discover](https://github.com/shinpr/claude-code-discover): turns feature ideas into evidence-backed PRDs.
- [metronome](https://github.com/shinpr/metronome): detects shortcut-taking behavior and asks Claude to follow the defined procedure.
- [linear-prism](https://github.com/shinpr/linear-prism): validates requirements and turns them into structured Linear tasks.
- [pr-review](https://github.com/shinpr/pr-review-skill): reviews GitHub PRs against repository-specific criteria before posting approved findings.
bash /plugin install discover@claude-code-workflows /plugin install metronome@claude-code-workflows /plugin install linear-prism@claude-code-workflows /plugin install pr-review@claude-code-workflows ```
</details>
---
This marketplace supports the full lifecycle of building products with AI: product quality, discovery, implementation control, and verification. If your plugin helps developers build better products with AI coding agents, we'd like to hear from you.
See CONTRIBUTING.md for submission guidelines and acceptance criteria.
<details> <summary>View repository layout</summary>
claude-code-workflows/
├── .claude-plugin/
│ └── marketplace.json # Plugin definitions and per-plugin contents
├── agents/ # Specialized analysis, design, execution, and review roles
├── skills/
│ ├── recipe-*/ # Workflow entry points
│ ├── documentation-criteria/ # Document rules and templates
│ ├── coding-principles/
│ ├── testing-principles/
│ ├── external-resource-context/
│ ├── llm-friendly-context/
│ └── ...
├── LICENSE
└── README.md
</details>
---
Q: What if there are errors?
A: The quality-fixer agents handle test, type, lint, and build failures within the approved outcome, including adjacent changes required by the same responsibility or contract.
The workflow asks the user only when keeping both the requested outcome and its exclusions is no longer possible, or when an irreversible external action needs approval. It handles technical design, contracts, UI, architecture, persistence, and implementation changes on its own as long as they do not change what the product delivers.
Q: Is there a version for OpenAI Codex CLI?
A: Yes. codex-workflows provides the same workflow model, adapted to the Codex CLI environment.
Q: Should I commit the work plan and task files in docs/plans/?
A: No. Recipes treat docs/plans/ as ephemeral working state. Consumed task files and intermediate fix files are cleaned up after successful execution. The work plan may remain for review or a later build and can be deleted when it is no longer needed. Add the following line to your project's .gitignore so this working state stays out of git:
docs/plans/
PRDs, ADRs, UI Specs, and Design Docs live in their own directories (docs/prd/, docs/adr/, docs/ui-spec/, docs/design/) and are intended to be committed.
---
本项目为 Claude Code 提供了一套强大的开发工作流插件。它支持后端功能开发(Backend Feature Development),通过 `/recipe-implement` 命令实现如 JWT 用户认证等复杂逻辑;同时支持前端功能开发(Frontend Feature Development),利用 `/recipe-front-design` 构建用户仪表盘等 UI 界面。此外,系统会自动生成覆盖全层级的 PRD 文档,确保从需求到实现的一致性。
在开始使用前,系统会通过 `requirement-analyzer` 模块自动评估任务规模。该模块能够识别开发任务的复杂度,从而决定后续工作流的执行深度,确保 Claude 在处理不同规模的需求时都能保持高质量的输出。
您可以根据开发需求选择不同的安装方式。基础环境配置完成后,可以通过 `/plugin install` 命令安装特定的技能插件。例如,安装开发技能插件:`/plugin install dev-skills@claude-code-workflows`。插件支持自动加载机制,当进入实现阶段时,`coding-principles` 会自动激活;在编写测试时,`testing-principles` 则会自动介入。
本项目提供极简的快速上手体验。开发者无需记忆复杂的指令,只需根据工作类型调用对应的 Recipe 命令即可。后端开发使用 `/recipe-implement`,前端开发使用 `/recipe-front-design`,全栈开发则使用 `/recipe-fullstack-implement`。插件会自动处理从需求分析到代码实现的所有中间环节。
除了核心工作流,您还可以根据需要配置可选的扩展插件以增强体验。例如,使用 `claude-code-discover` 将创意转化为基于证据的 PRD;使用 `metronome` 来检测 Claude 是否存在“走捷径”的行为并进行提醒;或���通过 `linear-prism` 进行任务管理。这些插件可以根据您的工作流阶段进行灵活组合。
本项目通过模块化的插件体系构建完整的工作流。根据您的工作内容,可以选择不同的插件包:后端、API 或 CLI 工具开发请安装 `dev-workflows`;React/TypeScript 前端开发请安装 `dev-workflows-frontend`;若需进行全栈开发(Backend + React),建议直接安装 `dev-workflows-fullstack` 插件以替代上述两者,实现一站式开发体验。
针对开发者常见的问题,我们提供了详细解答。关于指令学习:您无需学习特殊命令,只需使用特定的 Recipe 命令,插件会自动处理其余逻辑。关于错误处理:每个插件都内置了 `quality-fixer` Agent,能够自动检测并修复大部分开发过程中出现的错误,确保交付质量。
高质量的开源Prompt模板,适合生产环境
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
AI Skill Hub 点评:克劳德代码工作流 的核心功能完整,质量优秀。对于内容创作者和自媒体人来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | claude-code-workflows |
| 原始描述 | 开源Prompt模板:Production-ready development workflows for Claude Code, powered by specialized A。⭐628 · JavaScript |
| Topics | promptclaude-codejavascriptai-agents |
| GitHub | https://github.com/shinpr/claude-code-workflows |
| License | MIT |
| 语言 | JavaScript |
收录时间:2026-07-12 · 更新时间:2026-07-12 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端