Registry indexed
Evidence-first debugging in 5 stages — REPRODUCE, EVIDENCE, DIAGNOSE, FIX, PROVE. Never touch code before the root cause is stated with evidence; fix the source, not the symptom; hand dead-end investigations to the root-cause-debugger agent. Use for any bug, error, crash, regress
--- name: debug-protocol description: > Evidence-first debugging in 5 stages — REPRODUCE, EVIDENCE, DIAGNOSE, FIX, PROVE. Never touch code before the root cause is stated with evidence; fix the source, not the symptom; hand dead-end investigations to the root-cause-debugger agent. Use for any bug, error, crash, regression, unexpected behavior, or /toh-fix work. user-invocable: false # internal — model-invoked via toh-* commands, not a user /command --- # 🔧 Debug Protocol Skill
> **Purpose:** Evidence-first debugging — หา root cause ด้วยหลักฐาน ไม่เดา ไม่กดอาการ > **Version:** 2.0.0 > **Updated:** 2026-07-14
---
## 🎯 Core Idea
``` ❌ Guess & retry loop undefined → ใส่ ?. → พังที่อื่น → ใส่ ?. อีก → วนไม่จบ (กดอาการ ไม่เคยถามว่า "ทำไมข้อมูลถึง undefined")
✅ Evidence-first REPRODUCE → EVIDENCE → DIAGNOSE → FIX → PROVE (เก็บหลักฐานจริง → วินิจฉัย → แก้ต้นตอ → พิสูจน์) ```
**กฎเหล็ก:** อย่าแตะโค้ดจนกว่าจะบอก root cause ได้พร้อมหลักฐาน ถ้าร่องรอยตัน → ส่งงานสืบสวนให้ agent `root-cause-debugger`
---
## Protocol — 5 Stages
### 1. REPRODUCE — ทำให้พังซ้ำก่อน ทำให้ bug เกิดบนเจตนา ก่อนคิดแก้. รู้ path / action / ข้อมูลที่ทำให้พัง แล้วเห็นมันพังจริง **ทำซ้ำไม่ได้ = แก้ไม่ได้** → บอกตรงๆ แล้วขอ steps / env / data เพิ่ม
### 2. EVIDENCE — เก็บหลักฐาน (ห้ามเดา) - อ่าน **error + stack trace เต็มๆ** — ไฟล์/บรรทัด/call chain - `git log` / `git diff` — อะไรเพิ่งเปลี่ยน (bug ใหม่ = โค้ดใหม่ ~80%) - ตาม **data flow** ด้วย log/debugger จริง — ค่ามาจากไหน หายที่จุดไหน
### 3. DIAGNOSE — differential diagnosis สมมุติฐาน 2–3 ข้อ + หลักฐานสนับสนุน/หักล้างแต่ละข้อ → เลือกข้อที่หลักฐานชี้ ไม่ใช่ข้อที่แก้ง่ายสุด ถาม "ทำไม" ต่อจนถึงต้นตอ
### 4. FIX — แก้ที่ต้นตอ แก้ root cause จุดเดียว. defensive guard ตรงจุดอาการเสริมได้ **แต่ guard ≠ การแก้** — ต้นตอต้องหาย
### 5. PROVE — พิสูจน์ว่าหาย รันเส้นทางเดิมที่พังซ้ำ + เส้นทางข้างเคียง แล้วค่อยรายงาน
---
## 🛠 Technique: Targeted Logging
log ค่า **ตรงจุดก่อนพัง** และ log **shape จริง** ของข้อมูล — อย่าเดาว่าหน้าตาเป็นยังไง
```js // ก่อนบรรทัดที่พัง: ค่าจริงตอนนั้นคืออะไร console.log('[render] products =', products, 'isArray:', Array.isArray(products));
// API response: ดู shape จริง ไม่ใช่ที่ "คิดว่าได้" const data = await res.json(); console.log('[api] typeof:', typeof data, 'keys:', Object.keys(data ?? {}), data); ```
ถามให้ตรง: ตอน render มีข้อมูลไหม? เป็น array จริงไหม? key ที่โค้ดอ้างถึงมีอยู่จริงไหม?
---
## 🛠 Technique: git bisect — หา commit ที่ทำพัง
Bug ใหม่ = โค้ดใหม่. binary search หา commit ต้นเหตุ:
```bash git bisect start git bisect bad # commit ปัจจุบัน (พัง) git bisect good v1.7.0 # commit/tag ที่รู้ว่ายังดี # git checkout ให้อัตโนมัติทีละครึ่ง → ทดสอบ → บอกผล: git bisect good # commit นี้ยังดี git bisect bad # commit นี้พังแล้ว # ...จนได้ commit แรกที่ทำพัง git bisect reset ```
Manual bisect (ถ้าไม่มี tag good): `git log --oneline` → checkout กลางๆ → ทดสอบ → ขยับ เจาะลึก commit ต้องสงสัย: `git log -p <file>` / `git diff <commit>~..<commit> -- <file>`
---
## 🛠 Technique: Differential Diagnosis
เขียน hypothesis แข่งกัน แล้วใช้หลักฐาน **ตัดทิ้ง** ทีละข้อ:
``` Bug: dashboard พัง "Cannot read property map of undefined"
H1: API ตอบช้า → render ก่อนได้ data ✔ for: พังตอนโหลดครั้งแรก, refresh แล้วบางทีหาย ✘ against: ถ้า cache อยู่ควรไม่พัง — ตรวจ: มี loading guard ไหม? → ไม่มี H2: API response shape เปลี่ยน (products ย้ายไป data.items) ✔ for: backend เพิ่ง deploy (git log ฝั่ง API) ✘ against: log แล้ว data.products ยังมีอยู่ → ตัดทิ้ง H3: race condition หลาย fetch เขียนทับ state ✘ against: มี fetch เดียว → ตัดทิ้ง
→ หลักฐานชี้ H1 (ไม่มี loading state) = root cause จริง ```
หลักฐานเป็นตัวเลือก hypothesis ไม่ใช่ความง่ายในการแก้
---
## 🎨 Debug Patterns: CSS / Layout
Symptom → สืบหาสาเหตุ → พิสูจน์ (ไม่ใช่แปะ fix สำเร็จรูป)
### Scroll เกิน / white space ด้านล่าง - **สืบ:** parent มี fixed height + child มี padding/margin ไหม? มี element ไหน overflow? - **พิสูจน์:** DevTools → เลื่อน inspect หา element ที่สูงเกิน viewport จริง → ค่อยแก้ที่ตัวนั้น - สาเหตุพบบ่อย: `h-screen` + padding พร้อมกัน, flex item ขาด `min-h-0`, `position: fixed` หลุด flow
### Element ไม่อยู่ที่ที่คาด - **สืบ:** เป็น flow / flex / grid / absolute? parent เป็น positioning context ไหม? - **พิสูจน์:** ใส่ outline ชั่วคราว (`outline: 1px solid red`) กับ element + parent เพื่อเห็น box จริง
---
## ⚙️ Debug Patterns: JavaScript / Async
### Function เหมือนไม่ทำงาน - **สืบ:** ถูกเรียกจริงไหม? args ที่เข้ามาคืออะไร? state ก่อน/หลังต่างไหม? - **พิสูจน์:** `console.log` ต้นฟังก์ชัน — ถ้าไม่ขึ้น = ปัญหาอยู่ที่ "การเรียก" (event binding: `onClick={fn()}` vs `onClick={fn}`) ไม่ใช่ในฟังก์ชัน
### ค่าไม่อัพเดท / เป็น undefined - **สืบ:** await ครบไหม? Promise reject เงียบไหม? useEffect dependency ตรงไหม? - **พิสูจน์:** log ค่าที่ทุก step ของ chain — หาจุด **แรก** ที่ค่าผิด นั่นคือต้นตอ ไม่ใช่จุดที่ throw
---
## 🚫 Anti-Patterns
``` ❌ กดอาการ: undefined → ใส่ ?. โดยไม่ถามว่าทำไม undefined ❌ เดาแล้วแก้: เปลี่ยนโค้ดก่อนมีหลักฐาน ❌ แก้หลายจุดพร้อมกัน: พังแล้วไม่รู้จุดไหนช่วย ❌ รายงานก่อนพิสูจน์: "น่าจะได้แล้ว" โดยไม่รันซ้ำ ❌ ยอมแพ้เร็ว: ลองไม่กี่รอบแล้วลบเขียนใหม่ทั้งที่ยังไม่รู้สาเหตุ ```
---
## 🔗 Integration
| Skill | ใช้ร่วมกันยังไง | |-------|----------------| | `error-handling` | debug สำหรับ error ที่ auto-fix ไม่ได้ | | `engineer-harness` | รายงานผล: Problem → Root cause → Fix → Proof → Prevention | | agent `root-cause-debugger` | delegate การสืบสวนเมื่อร่องรอยตัน |
---
## 💡 When to Use
``` USE: แก้ไม่หายสักที · error เดิมกลับมา · "ทำไมถึงเป็นแบบนี้" · bug ที่ยังไม่รู้สาเหตุ SKIP: typo ชัดๆ · error ที่ fix ชัดเจน · feature request (ไม่ใช่ bug) ```
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
67/100
Promising
Trust
62/100
Sandbox only
Audit
77/100
Needs review
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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}Listing source
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Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.