菜单
Product consistency and completeness review. Use when the user asks for a product review, wants to check surface area completeness, multi-user collaboration scenarios, or AI agent interaction points across a feature.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Validate the branch diff against the task's acceptance criteria before marking it done. Use when implementation looks complete, before a status update to done/awaiting_review, or when the user asks "did we cover everything?"
One-pass AI code review of a PR or branch diff (tech-lead style). Use when the user asks for a code review, PR review, AI review, or wants code quality, architecture, bugs, and patterns reviewed.
Simplify changed code in a PR or branch for readability while preserving behavior. Use when the user asks to simplify code, reduce complexity, clean up a PR, or improve readability of recent changes.
Capture new project-specific learnings into context files. Runs during reviews or after debugging to evolve the project's skill knowledge base. Use when the thread reveals patterns, anti-patterns, conventions, or codebase gotchas that should be remembered.
Debug pipeline: investigate (prod or local) → fix-issues → scoped polish (deslop + code-simplify) → pattern-check → kestral-sync retroactive capture. Only invoked by the kstack subagent.
Capture the decision when a spike, prototype, or investigation concludes. Use when a prototype or spike wraps up, the user makes a go/no-go call after de-risking, or an investigation answers its question — prompts "what did you decide?" and writes the decision + rationale to the task tracker.
| name | product-review |
| kstack | true |
| description | Product consistency and completeness review. Use when the user asks for a product review, wants to check surface area completeness, multi-user collaboration scenarios, or AI agent interaction points across a feature. |
Review a PR or plan for surface area completeness — ensuring that every place a feature appears in the product is accounted for, that multi-user collaboration scenarios are considered, and that AI agent interaction points are covered.
Read review-process.md for the full review workflow and checklist.
Read context.md and apply it as additional project-specific constraints layered on top of this
workflow. If it does not exist, skip this section.
