Desenvolvimento
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clean-code
This skill should be used when the user asks to "refactor code", "review code quality", "apply clean code principles", "check for code smells", "improve code design", "do a clean code review", "apply SOLID principles", "fix naming", "reduce complexity", or when performing the refactor phase of a TDD cycle.
verification-loop
Unified verification engine for Python data science projects. Covers environment checks, type checking, linting, tests, security scans, code review with DS anti-patterns, and notebook checks. Commands (/verify, /quality-gate) invoke different subsets of this skill.
coding-standards
Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.
data-pipeline-patterns
Team conventions for Python data pipelines — stage structure, JSON output format, debugging workflow, and anti-patterns. Supplements standard patterns with team-specific rules.
app
This skill should be used when the user asks to "calculate code mass", "measure code complexity with APP", "compare implementations using APP", "apply Absolute Priority Premise", "use mass calculations", or during TDD refactor phases when comparing alternative implementations. Based on Micah Martin's work.
typescript
Apply these opinionated TypeScript conventions when writing TS in this codebase: branded types, advanced generics, conditional and utility types, type guards, discriminated unions, strict tsconfig, tRPC, monorepo setup.
bad-skill
A meta-repository for Claude Code users that includes workspace setup (skills, commands, hooks) and an evaluator for your Claude Code configuration
sdlc-studio
/sdlc-studio [type] [action] - SDLC pipeline: requirements, specifications, code, testing. Run /sdlc-studio help for commands and /sdlc-studio status for next steps.
cc-security-patterns
AI Agent 安全設計模式 — 基於 Claude Code 七層縱深防禦架構的逆向分析。Use when: 設計工具安全機制、實作命令過濾、建構權限模型、設計 sandbox。
audit-flow
Rastreamento interativo do fluxo do sistema através das camadas CODE, API, AUTH, DATA, NETWORK com persistência SQLite e exportação Mermaid. Útil para auditorias de segurança, conformidade, rastreamento de fluxo, depuração, revisões de arquitetura e post-mortems de incidentes.
cc-cost-engineering
AI Agent 成本工程 — 基於 Claude Code 的成本追蹤、prompt cache 最佳化、token 預算控制逆向分析。Use when: 優化 token 消耗、設計成本控制機制、分析 cache 效率、選擇模型配置。
commit
전체 변경사항을 git commit 한다. (push 인수로 push까지 수행)