Updated 1d ago
by TsCarpe
claude-sdlc-skills
AI-native SDLC skills for Claude Code: requirement intake & audit, adversarial review gate, AI test orchestration, decision re-check, release config audit
64 GitHub stars (64)
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- 7 skills (7 skills found in its SKILL.md files)
- 0 forks (0 forks)
- 1d ago last update (Last updated 1d ago)
Install
Skills CLI
npx skills add TsCarpe/claude-sdlc-skills
Asks which skills and agents to install. Just one: npx skills add TsCarpe/claude-sdlc-skills --skill sdlc-config-review — add -g for every project.
Claude Code
git clone https://github.com/TsCarpe/claude-sdlc-skillscp -r "claude-sdlc-skills/skills/sdlc-config-review" ~/.claude/skills/
Copies the sdlc-config-review skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.
Plugin
/plugin marketplace add TsCarpe/claude-sdlc-skills
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md.
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sdlc-config-review
扫描当前分支相对基线分支(master/main)的 Java 代码 diff,提取发版前需在代码之外人工处理的事项——①配置中心(Apollo/Nacos)Key:@Value 单值、@ConfigurationProperties 前缀、任意注解属性中的 ${...} 占位符;②外部平台注册操作:@XxlJob 任务(新增/改名/孤儿检测)、RocketMQ/Kafka/Rabbit listener 订阅关系;③行为知会项(@Scheduled 集群重复执行等)。产出配置 Key 清单 + 平台操作清单 + 知会项。Use when 用户要梳理上线配置清单、检查新增配置 Key、准备 Apollo/Nacos 发版配置、检查新增定时任务/xxl-job 任务/MQ 订阅,或说 config-sentinel、config review、Apollo/Nacos key audit、…
skills/sdlc-config-review/SKILL.md on GitHub (opens in a new tab) -
sdlc-doubt
对刚做出的非平凡技术决策发起对抗式独立复查——把决策剥离结论后交给全新上下文的审查者"找问题"。Use when 影响ER或公共组件的决策回写前、复杂SQL/状态机流转定稿前、提交前对"已全范围检查"断言存疑时、用户说"这个判断我不放心""帮我质疑一下这个方案""doubt-review"。
skills/sdlc-doubt/SKILL.md on GitHub (opens in a new tab) -
sdlc-gate
评审关口:技术设计与测试用例定稿后的强制评审关口——4 个全新上下文子代理(3 角色预审 + 1 交叉审查)产出 issue 清单与分歧清单,人工逐条裁决后放行开发/测试执行。Use when 技术设计或测试用例已产出待评审、用户说 评审关口、设计评审、用例预审、交叉审查、review gate、adversarial review、design review,或需求梳理确认后设计与用例并行产出完毕。用法:/sdlc-gate <需求名>
skills/sdlc-gate/SKILL.md on GitHub (opens in a new tab) -
sdlc-guardrails
Deterministic guardrail engine that enforces "write-it-and-it's-wrong" red-lines at write time - a PostToolUse hook runs engine/check.py on every Write/Edit and blocks violations per project-defined guardrails.yaml rules (forbid / require / require_if / count_ge), with pre-commit fallback and --check baseline scanning for legacy code. Engine is mechanism (one global copy), rules are content (per…
skills/sdlc-guardrails/SKILL.md on GitHub (opens in a new tab) -
sdlc-intent
Digests and health-checks product requirement documents (PRD). Stage 1 produces a structured digest (roles, concepts, feature map, flow diagrams, state machines) to build shared understanding; stage 2 audits the requirement against a six-layer defect taxonomy and produces a graded issue report plus a PM clarification checklist. Use when the user shares a requirement/PRD document (Feishu/wiki link…
skills/sdlc-intent/SKILL.md on GitHub (opens in a new tab) -
sdlc-sync
Syncs local SDLC artifacts (requirement digest/audit/checklist, test cases) to a team-facing web platform and pulls PM clarification answers back into local markdown files. Bridges the single-developer local workflow with multi-role collaboration: push artifacts for sharing, pull answers to close the clarification loop, publish the clarified standard requirement document, register test cases for…
skills/sdlc-sync/SKILL.md on GitHub (opens in a new tab) -
sdlc-test
AI 测试智能体编排:用例生成 → 静态代码一致性检测 → test 环境浏览器功能测试 → 报告生成。子命令(cases/static/exec/spec/report)独立可重跑,两道人工关卡(用例审核、报告复验);通过用例可资产化为 Playwright spec,回归轮跑 runner 零 agent token。Use when 用户要求 AI 测试、生成测试用例、执行测试、提测验证、回归测试、生成回归脚本、spec 资产化,或说 AI testing、test generation、browser E2E、playwright spec。用法:/sdlc-test cases|static|exec|spec|report <需求名>
skills/sdlc-test/SKILL.md on GitHub (opens in a new tab)
No skill matches that filter.
Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.