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 /recipe-implement "Add user authentication with JWT"
```bash /recipe-front-design "Build a user profile dashboard"
```bash
```bash
/plugin install dev-skills@claude-code-workflows
Skills auto-load when relevant. `coding-principles` activates during implementation, `testing-principles` during test writing, etc.
**Switching between plugins:**
bash
```
Why UI Spec exists. Prototypes capture the visual surface, but rarely the loading, error, empty, and partial states that appear during integration.
For example, two components might each handle their own loading state cleanly while the dashboard that combines them has no defined behavior when one is still loading and the other has errored. UI Spec captures these state-x-display matrices and traces them into the Design Doc and test skeletons, so integration breakage is caught early.
These optional plugins cover adjacent stages in the workflow:
/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
```
If you're working with undocumented legacy code, these commands generate PRD and design docs to make it AI-friendly. For a quick walkthrough, see: How I Made Legacy Code AI-Friendly with Auto-Generated Docs
---
End-to-end development workflows for Claude Code that produce code aligned with design docs and tests. Specialized agents handle requirements, design, implementation, and quality checks, so what you get is code that actually passes its tests and matches its design docs.
---
| Your work | Install |
|---|---|
| Backend, APIs, CLI tools, or general programming | dev-workflows |
| React / TypeScript frontend | dev-workflows-frontend |
| Full-stack (backend + React) | dev-workflows-fullstack (single plugin, replaces installing both) |
| You already have your own orchestration and just want the rules | dev-skills (skills only, see [Skills only](#skills-only)) |
/plugin install dev-workflows-fullstack@claude-code-workflows /reload-plugins /recipe-fullstack-implement "Add user authentication with JWT + login form"
/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 ```
<a id="warning-duplicate-skills"></a>
Warning: dev-skills and dev-workflows / dev-workflows-frontend / dev-workflows-fullstack share the same skills. Installing more than one of them makes skill descriptions appear multiple times in the system context. Claude Code limits skill descriptions to ~2% of the context window. Exceeding this limit causes skills to be silently ignored. For fullstack work, install onlydev-workflows-fullstack(do not install it alongsidedev-workflowsordev-workflows-frontend).
---
This figure shows how a request is routed by size (small / medium / large). Larger work goes through PRD, codebase analysis, and design before reaching implementation. Smaller work skips ahead.
The diagnosis flow loops between investigator and verifier until path coverage is sufficient, then hands off to solver for tradeoff analysis.
Reverse engineering runs in two phases. PRDs come first (one per discovered feature), then Design Docs reuse the scope without re-discovering it.
All workflow entry points use the recipe- prefix to distinguish them from knowledge skills. Type /recipe- and use tab completion to see all available recipes.
| Recipe | Purpose | When to Use |
|---|---|---|
/recipe-implement | End-to-end feature development | New features, complete workflows |
/recipe-task | Execute single task with precision | Bug fixes, small changes |
/recipe-design | Create design documentation | Architecture planning |
/recipe-plan | Generate work plan from design | Planning phase |
/recipe-prepare-implementation | Verify implementation readiness and resolve gaps | Pre-build check that the work plan is implementable |
/recipe-build | Execute from existing task plan | Resume implementation |
/recipe-review | Verify code against design docs | Post-implementation check |
/recipe-diagnose | Investigate problems and derive solutions | Bug investigation, root cause analysis |
/recipe-reverse-engineer | Generate PRD/Design Docs from existing code | Legacy system documentation, codebase understanding |
/recipe-add-integration-tests | Add integration/E2E tests to existing code | Test coverage for existing implementations |
/recipe-update-doc | Update existing design documents with review | Spec changes, review feedback, document maintenance |
For fullstack recipes, install dev-workflows-fullstack and use /recipe-fullstack-implement or /recipe-fullstack-build.
The frontend plugin adds React-specific agents (component architecture, Testing Library, TypeScript-first quality checks) and UI Spec generation from optional prototype code.
| Recipe | Purpose | When to Use |
|---|---|---|
/recipe-front-design | Create UI Spec + frontend Design Doc | React component architecture, UI Spec |
/recipe-front-plan | Generate frontend work plan | Component breakdown planning |
/recipe-front-build | Execute frontend task plan | Resume React implementation |
/recipe-front-adjust | Adjust an already-implemented UI with MCP-driven verification | Visual tweaks, component refinements that need design-source comparison |
/recipe-front-review | Verify code against design docs | Post-implementation check |
/recipe-task | Execute single task with precision | Component fixes, small updates |
/recipe-diagnose | Investigate problems and derive solutions | Bug investigation, root cause analysis |
/recipe-update-doc | Update existing design documents with review | Spec changes, review feedback, document maintenance |
Tip: Both plugins share/recipe-task,/recipe-diagnose, and/recipe-update-doc./recipe-update-docauto-detects the document's layer. If your project has frontend Design Docs, the frontend plugin is needed to update them. For reverse engineering, use/recipe-reverse-engineerwith the fullstack option to generate both backend and frontend Design Docs in a single workflow.
---
| Agent | What It Does |
|---|---|
| **prd-creator** | Writes product requirement docs for complex features |
| **technical-designer** | Plans architecture and tech stack decisions |
| **scope-discoverer** | Discovers functional scope from codebase for reverse engineering |
| **code-verifier** | Validates consistency between documentation and code implementation |
| **acceptance-test-generator** | Creates E2E and integration test scaffolds from requirements |
| **integration-test-reviewer** | Reviews integration/E2E tests for skeleton compliance and quality |
| **task-executor** | Implements backend features with TDD |
| **quality-fixer** | Runs tests, fixes type errors, handles linting (everything quality-related) |
| **rule-advisor** | Picks the best coding rules for your current task |
| Agent | What It Does |
|---|---|
| **prd-creator** | Writes product requirement docs for complex features |
| **ui-spec-designer** | Creates UI Specifications from PRD and optional prototype code |
| **ui-analyzer** | Reads the project's external-resources file, fetches design / design-system / guideline sources via inherited MCP access, and analyzes existing UI code |
| **technical-designer-frontend** | Plans React component architecture and state management |
| **task-executor-frontend** | Implements React components with Testing Library |
| **code-verifier** | Validates consistency between documentation and code implementation |
| **quality-fixer-frontend** | Handles React-specific tests, TypeScript checks, and builds |
| **rule-advisor** | Picks the best coding rules for your current task |
| **design-sync** | Verifies consistency across multiple Design Docs and detects conflicts |
---
```bash /recipe-fullstack-implement "Add user authentication with JWT + React login form"
```
Installdev-workflows-fullstackfor fullstack recipes. Tasks are routed based on filename patterns (*-backend-task-*,*-frontend-task-*). For reverse engineering existing fullstack codebases, use/recipe-reverse-engineerwith the fullstack option.
```bash /recipe-front-adjust "Tighten Card spacing and align action buttons with the design source"
```bash /recipe-task "Fix validation error message"
```
```bash /recipe-diagnose "API returns 500 error on user login"
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.
---
Q: Do I need to learn special commands?
A: Not really. For backend, just use /recipe-implement. For frontend, use /recipe-front-design. The plugins handle everything else automatically.
Q: What if there are errors?
A: The quality-fixer agents (one in each plugin) automatically fix most issues like test failures, type errors, and lint problems. If something cannot be auto-fixed, you'll get clear guidance on what needs attention.
Q: Is there a version for OpenAI Codex CLI?
A: Yes. codex-workflows provides the same end-to-end development workflows for Codex CLI. Same concept (specialized subagents for requirements, design, implementation, and quality checks), adapted for 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. Work plans, task files, prep tasks, review-fix tasks, and intermediate analysis files all live there during a recipe run and are cleaned up at the end. Add the following line to your project's .gitignore so 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.
---
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 |
| 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