菜单
Diagnose failures, broken behavior, regressions, test failures, runtime errors, stale state, rendering bugs, and repeated failed fixes. Use when something does not work, used to work, crashes, fails tests, or needs root-cause proof. Not for product planning or release readiness.
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
| name | debug |
| description | Diagnose failures, broken behavior, regressions, test failures, runtime errors, stale state, rendering bugs, and repeated failed fixes. Use when something does not work, used to work, crashes, fails tests, or needs root-cause proof. Not for product planning or release readiness. |
Use this skill when the task starts from a symptom.
Prefix your first response line with ⚗️ inline, not as its own paragraph.
Before the workflow, apply ../../shared-rules/personalization.md for explicit TasteD/TasteDistill invocations.
Apply ../../shared-rules/runtime-hygiene.md when debugging uses helper scripts, browser checks, local servers, screenshots, traces, or other generated artifacts.
For fixes, apply ../../shared-rules/coding-guardrails.md:
For root-cause analysis in a Git repository, ../../shared-rules/personalization.md should already have ensured the local CodeGraph index. When codegraph_* tools are available, prefer codegraph_trace for "how does X reach Y", codegraph_callers / codegraph_callees for one-hop flow, and codegraph_context for nearby implementation context. Read target files directly before editing.
Root cause:
Fix:
Confirmed:
Tests:
Regression guard:
Remaining risk:
Diagnose failures, broken behavior, regressions, test failures, runtime errors, stale state, rendering bugs, and repeated failed fixes. Use when something does not work, used to work, crashes, fails tests, or needs root-cause proof. Not for product planning or release readiness.
Define product direction, interaction principles, UI structure, visual execution rules, and screenshot-based polish before or during frontend implementation. Use when the task involves UI, product design, interaction behavior, visual quality, or design-system consistency. Not for backend-only logic.
Extract reusable lessons from completed work, failed attempts, user corrections, logs, diffs, tests, project outcomes, local agent memory, and conversation history, then update durable skills or rules. Use when asked to learn from experience, personalize an agent from prior work, improve skills, refine agent behavior, audit skill health, or turn repeated mistakes into guidance.
Research unfamiliar domains, source materials, repositories, documents, or problem spaces and turn them into structured understanding before planning or implementation. Use when the task asks for deep research, source synthesis, domain learning, evidence mapping, or study notes. Not for one-off link fetching or simple copy editing.
Review implemented work, verify acceptance criteria, prepare delivery, inspect release readiness, handle PR or issue follow-through, and confirm shipped state. Use when work is ready for review, merge, release, publish, push, or handoff. Not for root-cause debugging.
Turn rough ideas, product questions, architecture choices, implementation options, and tradeoffs into decision-ready plans. Use when the user asks what to build, whether an approach is worth it, how to structure a solution, or what plan the agent should execute. Not for debugging an already broken behavior.