Claude Skills by whaojie797-design

Reproduces a bug before fixing it, then verifies the fix with a guarded test run. Use when a developer hits a runtime error, a failing test, or "almost-correct" AI-generated code. Trigger phrases include "调试这个bug", "debug this error", "修复这个报错", "为什么报错了", "agentic debug", "复现并修复", "这个测试红了".

This skill should be used when the user requests a code review, security audit, or pre-merge inspection of a change. Trigger phrases include "review 代码", "代码审查", "安全审计", "审查这个 PR", "review this PR", "security audit", "code review". It applies a five-axis review framework (correctness, readability, architecture, security, performance) with severity classification and a standardized output template.

This skill keeps code and docs in sync by generating a README skeleton from a Python project and a CHANGELOG draft from git history (Conventional Commits). Use it when the user says "生成文档", "更新 README", "docsmith", "同步文档", "generate docs", or "生成 CHANGELOG".

对 Terraform、Kubernetes 与通用 YAML 基础设施代码做安全与最佳实践审查，识别硬编码密钥、特权容器、缺失资源限制、开放安全组、未加密存储、特权提权等风险，并给出分级修复建议与漂移检测思路。当用户说"审查 terraform"、"检查 k8s yaml"、"iac 安全"、"review IaC"、"iac-guard"、"扫描基础设施代码"时使用。

This skill should be used when the user wants to analyze tabular data or produce charts from natural-language requests. Trigger phrases include "分析这个表", "画个图", "这数据说明什么", "analyze this data", "make a chart", "数据可视化", "跑个分析". It profiles data, translates questions into pandas/SQL, generates charts, and summarizes insights. Trigger on uploads of CSV/Excel or requests to explore/visualize a dataset.

This skill audits a codebase for common performance anti-patterns (N+1 queries, SELECT *, nested loops, missing LIMIT, sync/blocking calls inside loops) and proposes prioritized fixes. Use it when the user says "性能审计", "perf-doctor", "检查性能", "为什么慢", "performance audit", or "帮我看性能".

This skill should be used when the user asks the AI to remember information across sessions, keep long-term memory, recall prior context, or distill accumulated notes. Trigger phrases include "记住", "记下来", "长期记忆", "别忘记", "跨会话", "recall", "remember", "memory". It implements a file-based memory system with dated daily logs, a curated MEMORY.md, topic search, and periodic distillation.

Generates runnable pytest test suites from Python source and reports coverage gaps with concrete fill-in suggestions. Use when the user asks to 生成测试, 写单测, testforge, 补测试, generate tests, 增加覆盖率, or 给这个函数写测试; best for AI-generated code that ships without tests or with low coverage.