laststance/troubleshoot

Troubleshoot — Hypothesis-Driven Debugging & Fix

Codex Compatibility

When running this skill in Codex, translate Claude Code-only primitives before acting: AskUserQuestion -> chat/request_user_input, TodoWrite -> update_plan, Task/TaskCreate/TeamCreate/SendMessage -> spawn_agent/send_input/wait_agent when available and allowed, and EnterPlanMode/ExitPlanMode -> a concise chat plan plus explicit approval. Resolve Read/Write/Edit/Bash/WebSearch/WebFetch to Codex file/shell/web tools, and map ~/.claude/... paths to ~/.agents/... or ~/.codex/... unless the task explicitly targets Claude Code.

Cursor Compatibility

When running this skill in Cursor Agent, translate Claude Code-only primitives before acting: AskUserQuestion -> AskQuestion; TodoWrite -> Cursor TodoWrite or an equivalent checklist; Task/TaskCreate/TeamCreate/SendMessage/multi-agent flows -> Cursor Task (subagents), parallel Tasks, or run_in_background when allowed (TeamCreate/SendMessage may have no exact match); EnterPlanMode/ExitPlanMode -> Plan mode (SwitchMode / CreatePlan) plus explicit user approval. Resolve Read/Write/Edit/StrReplace/Bash/web/search/MCP via Cursor Composer or Agent equivalents. MCP names written as mcp__server__tool typically map to call_mcp_tool with configured server identifiers. Map ~/.claude/... to ~/.cursor/skills/, .cursor/skills/, and .cursor/rules/ unless the task explicitly targets Claude Code.

Systematic issue diagnosis with root cause tracing, validated fixes, and prevention guidance.

<essential_principles>

Serena Think Checkpoints (Mandatory)

Call the following Serena tools at the specified points. Never skip them.

| Checkpoint | Tool | When | Purpose | |------------|------|------|---------| | Adherence Gate | mcp__serena__think_about_task_adherence | Before each code edit in Phase 4 (Fix) | Confirm fix aligns with identified root cause | | Completion Gate | mcp__serena__think_about_whether_you_are_done | Before exiting Phase 5 (Verify) | Confirm fix is verified with evidence |

After Phase 1 and again after Phase 2, do a short evidence sufficiency self-check in prose (repro steps, observed vs expected, hypotheses tied to concrete evidence). If gaps remain, collect more evidence before continuing—do not rely on a removed Serena tool.

Always Active

• Hypothesis before fix: Never guess-fix. Always form a hypothesis, gather evidence, then apply the fix. "🤔 I think X because Y" → verify → fix
• Introspection markers: Make debugging reasoning visible throughout:
  • 🤔 Reasoning — "🤔 The stack trace points to a null ref in..."
  • 🎯 Decision — "🎯 Root cause identified: missing null check at..."
  • ⚡ Performance — "⚡ This N+1 query causes the slowdown"
  • 📊 Quality — "📊 This fix also addresses the underlying design issue"
  • 💡 Insight — "💡 This pattern is error-prone; consider refactoring"
• Validate every fix: Run lint/typecheck/test after each change. No unverified fixes
• Destructive changes require confirmation: Deleting files, resetting state, dropping data
• No project-specific rules: This skill works across all projects and AI agents

</essential_principles>

Phase 1: Reproduce

Understand and reproduce the issue before diagnosing.

1. Parse the error description from user input
2. 🤔 Identify the error type: bug / build / test / performance / deployment
3. Collect evidence:
   • Read error messages, stack traces, logs
   • Run the failing command to see the actual output
   • Check git diff or git log for recent changes that may have caused it
4. Confirm reproduction: "I can reproduce this by running X → error Y"

If cannot reproduce: Ask user for more context before proceeding.

Tools: Bash, Read, Grep, Glob

5. Reproduction evidence self-check — Confirm you have enough to proceed: exact command or steps, full error output, and environment hints if relevant. If reproduction is shaky or incomplete, gather more before Phase 2.

Phase 2: Hypothesize

Form hypotheses about the root cause — do not jump to fixing.

1. 🤔 List 2-3 candidate hypotheses based on evidence:

   🤔 Hypothesis A: Missing dependency after package update
   🤔 Hypothesis B: Type mismatch from recent refactor
   🤔 Hypothesis C: Environment variable not set
   

2. 🎯 Rank by likelihood based on evidence strength
3. Start investigating the most likely hypothesis first
4. Hypothesis grounding self-check — Each hypothesis should cite specific evidence (log line, code path, diff, measured behavior). Demote or drop guesses that are not tied to facts.

Phase 3: Investigate

Systematically verify or eliminate each hypothesis.

1. Read the relevant source code (trace from error location outward)
2. Follow the call chain: caller → function → dependencies
3. Check external library behavior with Context7 if the issue involves a framework/library
4. Narrow down to the root cause with evidence:

   🎯 Root cause: X confirmed. Evidence: [specific line/behavior]
   

Tools: Read, Grep, Glob, mcp__serena__find_symbol, mcp__context7__query-docs

Phase 4: Fix

Apply the fix with adherence checks before each edit.

For each code change:

1. 🔶 think_about_task_adherence — Is this edit aligned with the identified root cause?
2. 📊 Describe the fix approach before editing:

   📊 Fix: Change X to Y in file:line because [reason]
   

3. Apply the minimal fix (don't refactor unrelated code)
4. If fix requires destructive changes → confirm with user first

Tools: Edit, Write, Bash

Phase 5: Verify

Prove the fix works with concrete evidence. No fix is complete without verification.

Standard Verification (always)

1. Re-run the reproduction: Execute the same command/action from Phase 1
   • Confirm the error no longer occurs
   • Record the output as evidence
2. Quality checks — run in parallel where possible:

   pnpm lint & pnpm typecheck & pnpm test & wait
   

3. Evidence collection — at least one of:
   • Console/log output showing the fix works
   • Test results (new or existing tests passing)
   • Screenshot of corrected behavior
   • User confirmation request ("Can you verify X now works?")

If any check fails → return to Phase 3 with new evidence.

--frontend-verify (when flag is provided)

Visual verification across platforms. Auto-detect platform from package.json:

| Dependency | Platform | Preflight | Verification Tool | |------------|----------|-----------|-------------------| | (default) | Web | kill-port <port> && pnpm dev | playwright-cli (open --headed, snapshot, screenshot) | | electron | Electron | pnpm electron:dev | /qa-electron skill (playwright-cli attached to Electron CDP) | | expo / react-native | Mobile | mcp__ios-simulator__open_simulator | iOS Simulator MCP (screenshot, ui_tap, ui_swipe) | | commander / inquirer / oclif | CLI | shell session | Shellwright MCP (TUI/CLI operation and output verification) |

Frontend Verify Workflow:

0. Pre-flight knowledge: invoke /dnd to load the drag-and-drop coordinate protocol. Ref-based drag reports false success on dnd-kit and similar libraries — required before any Web or Electron interaction.
1. Preflight: kill-port <port> && pnpm dev, confirm playwright-cli is available (Web direct; Electron via playwright-cli attach --cdp=http://localhost:9222)
2. Before screenshot: Use playwright-cli to capture the broken state (if reproducible in UI)
3. After fix screenshot: Use playwright-cli to capture the corrected state
4. Compare: Present before/after to user for confirmation
5. Judge: All pass → continue. Any fail → return to Phase 4

Authentication for Frontend Verify

When verifying authenticated apps (SaaS dashboards, admin panels, OAuth-protected pages), use playwright-cli's auth persistence:

| Strategy | Command | Use Case | |----------|---------|----------| | state-save / state-load | playwright-cli state-save auth.json | Session cookies + localStorage. Best for most web apps | | --profile <dir> | playwright-cli open <url> --profile ./browser-data | Full Chromium user data dir. Best for complex OAuth (Google, GitHub SSO) |

OAuth Flow:

1. playwright-cli open <login-url> --headed (must be headed for OAuth redirects)
2. Complete OAuth manually or via snapshot + fill + click
3. playwright-cli state-save auth.json to persist session
4. Future runs: playwright-cli state-load auth.json before navigating to app

Security:

• Add auth.json, browser-data/ to .gitignore
• State files contain session secrets — treat as credentials
• Use --headed for initial OAuth setup (redirects require visible browser)

Completion Gate

🔶 think_about_whether_you_are_done — Is the fix verified with evidence?

Phase 6: Report

Summarize findings for the user.

1. Root Cause: What was wrong and why
2. Fix Applied: What was changed (files, lines)
3. Evidence: Verification results (logs, screenshots, test output)
4. Prevention: 💡 How to avoid this in the future (optional, only if insightful)

Examples

/troubleshoot "TypeError: Cannot read properties of undefined"
/troubleshoot build is failing after upgrading React
/troubleshoot tests pass locally but fail in CI --frontend-verify
/troubleshoot API response time doubled since last deploy

Phase Flow Diagram

[Reproduce] → 🔶 info gate
     ↓
[Hypothesize] → 🔶 info gate
     ↓
[Investigate]
     ↓
   [Fix] → 🔶 adherence gate (per edit)
     ↓
 [Verify] → 🔶 completion gate
     ↓
 [Report]

Boundaries

Will:

• Systematically trace root causes with evidence-based reasoning
• Apply minimal, validated fixes with hypothesis-driven debugging
• Verify fixes with concrete evidence (logs, screenshots, test results)
• Explain the debugging process transparently with introspection markers

Will Not:

• Apply fixes without understanding the root cause
• Make speculative changes hoping something works
• Mark a fix as complete without verification evidence
• Modify production systems without explicit user confirmation