AI Skill Hub 推荐使用:Claude SDLC向导 是一款优质的Agent工作流。AI 综合评分 7.2 分,在同类工具中表现稳健。如果你正在寻找可靠的Agent工作流解决方案,这是一个值得深入了解的选择。
为Claude Code集成软件开发生命周期强制执行的开源工作流工具。通过Git hooks、技能模块和向导安装,自动化代码质量管理、流程规范化。适合使用Claude进行项目开发的开发团队和工程师。
Claude SDLC向导 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
为Claude Code集成软件开发生命周期强制执行的开源工作流工具。通过Git hooks、技能模块和向导安装,自动化代码质量管理、流程规范化。适合使用Claude进行项目开发的开发团队和工程师。
Claude SDLC向导 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
# 克隆仓库 git clone https://github.com/BaseInfinity/claude-sdlc-wizard cd claude-sdlc-wizard # 查看安装说明 cat README.md # 按 README 完成环境依赖安装后即可使用
# 查看帮助 claude-sdlc-wizard --help # 基本运行 claude-sdlc-wizard [options] <input> # 详细使用说明请查阅文档 # https://github.com/BaseInfinity/claude-sdlc-wizard
# claude-sdlc-wizard 配置说明 # 查看配置选项 claude-sdlc-wizard --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_SDLC_WIZARD_CONFIG="/path/to/config.yml"
A self-evolving Software Development Life Cycle (SDLC) enforcement system for AI coding agents. Makes Claude plan before coding, test before shipping, and ask when uncertain. Measures itself getting better over time.
Built on 15+ years of software engineering and founding engineering experience — battle-tested patterns from real production systems, baked into an AI agent that follows tried-and-true software quality practices so you don't have to enforce them manually.
Built for Claude Code. Using OpenAI's Codex CLI instead? Check outcodex-sdlc-wizard. Need privacy-first / any-backend (local Ollama, Azure OpenAI, hosted OSS)? Seeopencode-sdlc-wizard. (Full ecosystem.)
Requires Claude Code (Anthropic's CLI for Claude).
Run from your terminal or from inside Claude Code (! prefix):
npx -y agentic-sdlc-wizard@latest init The @latest pin forces npm to fetch the newest version. Without it, npx may serve a stale CLI from your local cache (#358); init also nudges if it detects a gap. Then start (or restart) Claude Code — type /exit then claude to reload hooks. Setup auto-invokes on first prompt — Claude reads the wizard doc, scans your project, and generates bespoke CLAUDE.md, SDLC.md, TESTING.md, and ARCHITECTURE.md. No manual commands needed.
<details> <summary>Alternative install methods</summary>
curl (no npm install needed):
curl -fsSL https://raw.githubusercontent.com/BaseInfinity/claude-sdlc-wizard/main/install.sh | bash
Homebrew:
brew install BaseInfinity/sdlc-wizard/sdlc-wizard
sdlc-wizard init
GitHub CLI extension:
gh extension install BaseInfinity/gh-sdlc-wizard
gh sdlc-wizard init
From GitHub (no npm registry needed):
npx github:BaseInfinity/claude-sdlc-wizard init
Install CLI globally:
npm install -g agentic-sdlc-wizard
sdlc-wizard init
Manual (advanced — escape hatch only): Download CLAUDE_CODE_SDLC_WIZARD.md to your project and tell Claude Run the SDLC wizard setup. This skips the live-session auto-invoke and is only intended for environments where npx, curl, brew, and gh are all unavailable. The default human path is npx init → restart CC → first-prompt auto-setup, not this manual flow. </details>
<details> <summary>Health check & updates</summary>
npx agentic-sdlc-wizard check # Human-readable
npx agentic-sdlc-wizard check --json # Machine-readable (CI-friendly)
Reports MATCH / CUSTOMIZED / MISSING / DRIFT for every installed file. Exits non-zero on MISSING or DRIFT — use in CI to catch setup regressions.
Check for content updates: Tell Claude Check if the SDLC wizard has updates — it reads CHANGELOG.md, shows what's new, and offers to apply changes. </details>
Tests aren't just validation - they're the foundation everything else builds on.
Claude can't grade its own homework. Have a different AI from a different company review Claude's work — different training, different blind spots, different biases. We use OpenAI's Codex CLI, and it's three commands to set up:
npm i -g @openai/codex
export OPENAI_API_KEY=sk-...
codex --version # confirm ready
That's it. Codex picks up your OpenAI account's best available model automatically — if you have GPT-5.5, it uses GPT-5.5; otherwise GPT-5.4. No model config needed.
How to use it: after Claude's self-review passes, write a one-file mission brief and run:
codex exec -c 'model_reasoning_effort="xhigh"' -s danger-full-access \
-o .reviews/latest-review.md \
"Read .reviews/handoff.json and review per the checklist. Output findings + CERTIFIED or NOT CERTIFIED." \
< /dev/null
Always append < /dev/null when running codex exec from a non-interactive parent (background, hooks, CI, Claude Code Bash tool). Without it, codex blocks on stdin reads even when the prompt is an argument — the process sits at S/0% CPU indefinitely with a 0-byte -o output file. Validated on codex-cli 0.130.0 / macOS 14, 2026-05-15.
xhigh reasoning is non-negotiable — lower settings miss subtle bugs. See CLAUDE_CODE_SDLC_WIZARD.md for the full protocol (handoff format, round-2 dialogue loop, preflight docs). Real-world: this catches P0/P1 issues in 2-3 out of 10 reviews that Claude's self-review rated as clean.
| Plugin | Purpose | Scope |
|---|---|---|
claude-md-management | **Required** - CLAUDE.md maintenance | CLAUDE.md only |
claude-code-setup | Recommends automations | Recommendations |
code-review | Local self-review and PR review (optional) | Local + PRs |
This isn't the only Claude Code SDLC tool. Here's an honest comparison:
| Aspect | SDLC Wizard | everything-claude-code | claude-sdlc |
|---|---|---|---|
| **Focus** | SDLC enforcement + measurement | Agent performance optimization | Plugin marketplace |
| **Hooks** | 3 (SDLC, TDD, instructions) | 12+ (dev blocker, prettier, etc.) | Webhook watcher |
| **Skills** | 4 (/sdlc, /setup, /update, /feedback) | 80+ domain-specific | 13 slash commands |
| **Evaluation** | 95% CI, CUSUM, SDP, Tier 1/2 | Configuration testing | skilltest framework |
| **CI Shepherd** | Local CI fix loop | No | No |
| **Auto-updates** | Weekly CC + community scan | No | No |
| **Install** | npx -y agentic-sdlc-wizard@latest init | npm install | npm install |
| **Philosophy** | Lightweight, prove-it-or-delete | Scale and optimization | Documentation-first |
Our unique strengths: Statistical rigor (CUSUM + 95% CI), SDP scoring (model quality vs SDLC compliance), CI shepherd loop, Prove-It A/B pipeline, comprehensive automated test suite, dogfooding enforcement.
Where others are stronger: everything-claude-code has broader language/framework coverage. claude-sdlc has webhook-driven automation. Both have npm distribution.
The spirit: Open source — we learn from each other. See COMPETITIVE_AUDIT.md for details.
创新的SDLC工作流解决方案,充分利用Claude能力。设计思路清晰,但用户基数小,文档完整度需验证。
该工具未明确声明开源协议,商业使用前请联系原作者确认授权范围,避免侵权风险。
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。
总体来看,Claude SDLC向导 是一款质量良好的Agent工作流,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | claude-sdlc-wizard |
| 原始描述 | 开源AI工作流:SDLC enforcement for Claude Code — hooks, skills, and wizard setup in one comman。⭐26 · Shell |
| Topics | 代码质量SDLC管理Claude集成Git钩子自动化工作流开发规范 |
| GitHub | https://github.com/BaseInfinity/claude-sdlc-wizard |
| 语言 | Shell |
收录时间:2026-05-25 · 更新时间:2026-05-30 · License:未公布 · AI Skill Hub 不对第三方内容的准确性作法律背书。
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