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code-review-general

Use when working on general code review across frontend, backend, scripts, and infrastructure changes. Focus on bugs, regressions, maintainability risks, and missing tests.

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Datos de origen

Repositorio
Mr-Q526/TeamCC-Platform
Última actividad en el origen
15 de abril de 2026 a las 03:16
Idioma detectado de SKILL.md
inglés
Estrellas
8
Forks
1

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SKILL.md
Instrucciones de origen · Vista previa de solo lectura
schemaVersion
2026-04-11T00:00:00.000Z
skillId
review/code-review-general
name
code-review-general
displayName
General Code Review
description
Use when working on general code review across frontend, backend, scripts, and infrastructure changes. Focus on bugs, regressions, maintainability risks, and missing tests.
aliases
["code-review-general","General Code Review","code review general","codereviewgeneral","代码实现","代码审查","code review","评审","服务端","server side"]
version
0.1.0
sourceHash
sha256:29276f5d3edf1f1aef29beab0b0147ec135fae251dd46f24179b573b83d0350e
domain
review
departmentTags
["backend-platform"]
sceneTags
["review"]
# General Code Review Use this skill when the task involves general code review across frontend, backend, scripts, and infrastructure changes. Goal: produce reliable engineering guidance and implementation steps focused on bugs, regressions, maintainability risks, and missing tests. ## Working model 1. Identify the affected system, data, users, and failure modes. 2. Define invariants, inputs, outputs, ownership, and rollback needs. 3. Prefer small, auditable changes with explicit validation. 4. Call out security, performance, concurrency, and data-loss risks when relevant. 5. Finish with concrete verification steps and residual risks. ## Rules - Ground recommendations in the current codebase or runtime evidence. - Prefer explicit contracts, typed boundaries, and defensive validation. - Do not hide operational concerns behind generic best practices. - Include negative cases, edge cases, and failure behavior. - For review tasks, list findings first with file and line references when possible. - For test or performance tasks, define the workload, success criteria, and measurement method. ## Checklist - Are assumptions and ownership boundaries explicit? - Are risky changes reversible or safely deployable? - Are observability and diagnostics sufficient for production issues? - Are tests or validation steps targeted to the actual risk? - Are security and data-integrity concerns addressed?
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