deep-debug
Debug sub-mode for Phase 3 — Investigate → Analyze → Hypothesize → Implement, with the iron rule that no fix ships before root-cause investigation.
Skill by Sungmin-Cho
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/deep-debug
What's inside
- Skill name
deep-debug- Description
- Debug sub-mode for Phase 3 — Investigate → Analyze → Hypothesize → Implement, with the iron rule that no fix ships before root-cause investigation. Triggers on `/deep-debug`, "systematic debug", "root cause investigation", "디버그 모드", "근본 원인 분석", `verification_cmd` 실패 시 자동 진입, or "fix this".
- License
- MIT
- Instructions
- 143 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
## Inputs (skill args)
| 인자 | 의미 |
|---|---|
| (없음) | Debug sub-mode 진입 — 현재 실패 컨텍스트로부터 root cause 분석 |
빈 args / 매칭되지 않는 토큰 → 본문의 default 분기로 진입.
## Prerequisites
# Systematic Debugging
You are entering **Debug Sub-Mode** within a Deep Work implementation session.
## Language
Read(`${CLAUDE_PLUGIN_ROOT}/skills/shared/references/user-language.md`) and follow it.
## Iron Rule
🚫 **NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST.**
Do NOT:
- Guess at fixes based on the error message alone
- Try random changes to see if they work
- Apply a fix without understanding WHY the bug exists
- Move on after a fix without verifying the root cause theory
## Trigger Conditions
This command activates automatically when:
- `verification_cmd` fails after the GREEN phase (unexpected regression)
- A previously passing test starts failing
- The user explicitly calls `/deep-debug`
## Phase 1: Investigate
1. **Read the error carefully**:
```
에러 분석:
테스트: [failing test name]
에러 메시지: [exact error]
스택 트레이스: [relevant lines]
```
2. **Reproduce consistently**: Run the failing command 2 more times to confirm it's not flaky
3. **Check recent changes**: What was the last edit before the failure?
```bash
git diff HEAD
git log --oneline -5
```
4. **Gather evidence**: Read related files, check imports, trace data flow
## Phase 2: Analyze
1. **Find a working reference**: Is there similar code that works? Compare patterns.
2. **Identify the difference**: What's different between the working and broken state?
3. **Trace data flow**: Follow the data from input to the failure point:
```
데이터 흐름:
입력: [source] → [transform1] → [transform2] → ❌ [failure point]
예상: [expected value at failure point]
실제: [actual value at failure point]
```
## Phase 3: Hypothesize
1. **Form ONE hypothesis**: Based on evidence, not guessing
```
가설:
원인: [specific root cause]
근거: [evidence supporting this hypothesis]
검증 방법: [how to test this hypothesis]
```
2. **Test the hypothesis minimally**: Verify with the smallest possible change or check
3. **If hypothesis is wrong**: Return to Phase 2 with new data. Do NOT try another random fix.
## Phase 4: Implement Fix
1. **Apply the minimal fix** based on verified root cause
2. **Run the failing test** — it should now pass
3. **Run the full test suite** — no regressions
4. **Record the root cause**:
Write to `$WORK_DIR/debug-log/RC-NNN.md`:
```markdown
# Root Cause: [Title]
## 증상
- 실패한 테스트: [test name]
- 에러 메시지: [message]
## 근본 원인
[Explanation of why the bug existed]
## 수정 내용
[What was changed and why]
## 교훈
[What to watch for in the future]
## 관련 Slice
- SLICE-NNN: [goal]
```
5. **Update receipt**: Set `debug.root_cause_note` to the RC file path
## Escalation
If 3 fix attempts fail (3 different hypotheses tested and invalidated):
```From Sungmin-Cho/deep-work, MIT.
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- 0.630score
deep-assumptions
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Assumption health report — per-assumption Wilson Score confidence, verdict (justified / loosen / drop), model-aware split, decay history.
SkillAFreshness: A★ 10Claude Code +9 - 0.595score
deep-status
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Current deep-work session status — dashboard, badge, tree, or routing to the receipts / history / report / assumptions sub-pages.
SkillBFreshness: B★ 10Claude Code +9 - 0.594score
deep-finish
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Use when finishing an authorized deep-work session with keep, PR, merge or discard and a durable receipt.
SkillBFreshness: B★ 10Claude Code +9 - 0.594score
deep-resume
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Use when resuming an interrupted or parked deep-work session from its current phase.
SkillBFreshness: B★ 10Claude Code +9 - 0.590score
drift-check
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Plan-alignment verification — approved plan vs actual implementation, reporting unimplemented items, out-of-scope changes and design drift.
SkillBFreshness: B★ 10Claude Code +9 - 0.590score
deep-mutation-test
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Mutation testing on changed files to verify AI-generated test quality, with an auto-fix loop that returns to Implement for survived mutants.
SkillBFreshness: B★ 10Claude Code +9 - 0.590score
deep-insight
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Code-metrics, complexity and dependency report for a file/directory/glob — analysis only, never modifies code.
SkillBFreshness: B★ 10Claude Code +9 - 0.590score
deep-receipt
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View, dashboard, or export deep-work slice receipts (`receipts/SLICE-*.json`).
SkillBFreshness: B★ 10Claude Code +9 - 0.590score
deep-history
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Cross-session deep-work history — completed sessions, TDD compliance rates, model usage, aggregate trend indicators.
SkillBFreshness: B★ 10Claude Code +9 - 0.590score
deep-sensor-scan
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Run computational sensors (linter, type checker, coverage) inside or outside a deep-work session.
SkillBFreshness: B★ 10Claude Code +9 - 0.590score
deep-work-workflow
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High-level overview of the deep-work workflow (Brainstorm → Research → Spec → Plan → Implement → Test → Integrate).
SkillBFreshness: B★ 10Claude Code +9 - 0.590score
solid-review
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SOLID design-principles review (SRP / OCP / LSP / ISP / DIP) on a file/directory/glob.
SkillBFreshness: B★ 10Claude Code +9
Signals
- Stars
- 10
- Forks
- 2
- Open issues
- 1
- Last commit (this folder)
- Aug 13, 2026 (2 months ago)
- Last release
- Sep 20, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Sungmin-Cho/deep-work
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Sungmin-Cho
- 0.630score
deep-assumptions
Sungmin-Cho
Assumption health report — per-assumption Wilson Score confidence, verdict (justified / loosen / drop), model-aware split, decay history.
SkillAFreshness: A★ 10Claude Code +9 - 0.595score
deep-status
Sungmin-Cho
Current deep-work session status — dashboard, badge, tree, or routing to the receipts / history / report / assumptions sub-pages.
SkillBFreshness: B★ 10Claude Code +9 - 0.594score
deep-finish
Sungmin-Cho
Use when finishing an authorized deep-work session with keep, PR, merge or discard and a durable receipt.
SkillBFreshness: B★ 10Claude Code +9 - 0.594score
deep-resume
Sungmin-Cho
Use when resuming an interrupted or parked deep-work session from its current phase.
SkillBFreshness: B★ 10Claude Code +9 - 0.590score
deep-mutation-test
Sungmin-Cho
Mutation testing on changed files to verify AI-generated test quality, with an auto-fix loop that returns to Implement for survived mutants.
SkillBFreshness: B★ 10Claude Code +9 - 0.590score
deep-insight
Sungmin-Cho
Code-metrics, complexity and dependency report for a file/directory/glob — analysis only, never modifies code.
SkillBFreshness: B★ 10Claude Code +9
Cite this page
deep-debug skill. Agent Mart. https://agentmart.dev/skills/sungmin-cho-deep-debug (last updated 2026-10-24)