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…
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".
A security review guide for Terraform, Kubernetes, and general YAML files used to define infrastructure—the systems and settings that run applications.
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…
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…
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.
Orchestrates a four-agent coding pipeline (Specifier -> Coder -> Refactorer -> Architect) with steel-cage quality gates and automatic failure routing. Use when the user wants spec-driven development, says "run the four-agent pipeline", "compile this requirement into acceptance criteria", "multi-agent TDD", or wants AI…