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debugging-workflow

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업데이트2026년 5월 30일 07:14

Debugging in WhisperShortcut: add DebugLogger instrumentation (with right categories), rebuild, give developer a manual repro plan, then fetch and analyze logs. Use when the user reports a bug, asks to debug, wants logging added to understand flow, or the app hangs / freezes / pins the CPU.

설치

Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.

Manus에서 실행

출처

mgsgde

mgsgde/whisper-shortcut

GitHub 저장소 열기 Creator 저장소 보기

다운로드

Manus에서 실행

Debugging Workflow

Rule

Logging rule (DebugLogger only) is in .cursor/rules/index.mdc; this skill covers the instrument → rebuild → repro → analyze-logs flow. For "just add logging" do only the instrumentation (and optionally rebuild).

1. Instrumentation (how to add logs)

Log function entry/exit, parameters, return values, state changes. Use structured messages.
Categories (choose the right one):

Method	Use for
`logNetwork()`	API calls, requests, responses
`logAudio()`	Recording, playback, chunking
`logSpeech()`	Transcription, prompt, TTS
`logError()`	Errors and failures
`logDebug()` or `log()`	Detailed flow / internals
`logInfo()`	General info
`logWarning()`	Warnings
`logUI()`	UI / menu / window events
`logSuccess()`	Successful completion

Example:

DebugLogger.logSpeech("transcribe(start) url=\(audioURL.lastPathComponent)")
// ...
DebugLogger.logSpeech("transcribe(done) chars=\(result.count)")
DebugLogger.logError("API request failed: \(error.localizedDescription)")

2. Full debug flow (when finding a bug)

Add instrumentation (see above) so the relevant path is visible in logs.
Rebuild: bash scripts/rebuild-and-restart.sh
Give the developer a short plan: numbered steps to reproduce (e.g. "1. Start app, 2. Trigger Speech-to-Prompt with shortcut X, 3. Say Y, 4. Wait for processing"). Ask them to do it and say when done.
After they reproduced: use view-logs-via-bash (bash scripts/logs.sh -t 5m or -f 'PROMPT-MODE'), analyze logs, summarize findings and suggest fix or next step.

3. Hangs / unresponsive UI / 100% CPU (different from a logic bug)

When the app freezes (beachball, pinned CPU), the logs go silent at the freeze point — the last line is where it wedged, and view-logs-via-bash alone can't go further. Switch tools:

Confirm + locate: pgrep -x WhisperShortcut, then ps -p <pid> -o %cpu,state. A hung app is state R at ~100% CPU (idle is S at ~0%).
Capture the stuck stack: sample <pid> 3 -mayDie > /tmp/ws_hang.txt. Aggregate the hot frames (grep -oE the repeated …Layout / …dylib symbols). All samples inside one runloop-observer transaction with none in event-wait = a single unbounded operation (e.g. a non-converging SwiftUI layout loop), not 60fps churn.
Correlate the last log timestamp with the trigger (what was just rendered or inserted), then add DebugLogger tripwires around that step so the next occurrence is unambiguous in the log.
The app won't self-recover — kill -9 <pid> before rebuilding.

When to apply

Bug report / "it doesn't work" / "debug" / "figure out why" → full flow (instrument → rebuild → repro → logs).
App froze / beachball / spinning / unresponsive / pinned CPU → section 3 (sample the process first).
"Add logging" / "see what's happening" → instrumentation only (optionally rebuild).
"View existing logs" only → use view-logs-via-bash instead; skip for pure feature work with no bug or visibility request.

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2026-06-2965

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Validate end-to-end that Smart Improvement audio verification is actually working — audio is captured for dictation, selected content-aware to verify recurring candidate terms, attached only when the asymmetry rule passes, used by the dictation and Whisper Glossary focuses, and retained across runs (pruned by age). Use when the user asks "is audio verification working?", after implementing or modifying the Smart Improvement audio verification feature, or when investigating why a glossary/dictation suggestion was or was not produced.

2026-06-2965

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Systematically reviews all LLM-context files in this repo (.cursor/commands/, .cursor/rules/, .cursor/skills/) for stale references, factual drift vs the current codebase, redundancy across files, and files that no longer earn their slot. Produces a tiered report (broken / drift / dedup / hygiene). Use when the user asks to audit, review, check, or validate LLM-context files, cursor rules, claude skills, prompt files, or "are these instructions still correct".

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Look up current official documentation AND current model lineups for OpenAI, Google Gemini, and xAI (Grok). Use BEFORE adding/changing model IDs, before answering model-capability questions (e.g. "does gpt-4o-transcribe accept a system prompt?"), AND proactively whenever you touch chat/transcription/TTS code paths (provider files, SettingsConfiguration, TranscriptionModels, ChatModelCommandResolver, SpeechService) — compare our current defaults to what each provider has shipped recently, and surface upgrade suggestions to the user if newer GA models exist. AI moves fast — always check live docs first.

2026-06-0565

name	debugging-workflow
description	Debugging in WhisperShortcut: add DebugLogger instrumentation (with right categories), rebuild, give developer a manual repro plan, then fetch and analyze logs. Use when the user reports a bug, asks to debug, wants logging added to understand flow, or the app hangs / freezes / pins the CPU.

Debugging Workflow

Rule

1. Instrumentation (how to add logs)

Log function entry/exit, parameters, return values, state changes. Use structured messages.
Categories (choose the right one):

Method	Use for
`logNetwork()`	API calls, requests, responses
`logAudio()`	Recording, playback, chunking
`logSpeech()`	Transcription, prompt, TTS
`logError()`	Errors and failures
`logDebug()` or `log()`	Detailed flow / internals
`logInfo()`	General info
`logWarning()`	Warnings
`logUI()`	UI / menu / window events
`logSuccess()`	Successful completion

Example:

DebugLogger.logSpeech("transcribe(start) url=\(audioURL.lastPathComponent)")
// ...
DebugLogger.logSpeech("transcribe(done) chars=\(result.count)")
DebugLogger.logError("API request failed: \(error.localizedDescription)")

2. Full debug flow (when finding a bug)

Add instrumentation (see above) so the relevant path is visible in logs.
Rebuild: bash scripts/rebuild-and-restart.sh
Give the developer a short plan: numbered steps to reproduce (e.g. "1. Start app, 2. Trigger Speech-to-Prompt with shortcut X, 3. Say Y, 4. Wait for processing"). Ask them to do it and say when done.
After they reproduced: use view-logs-via-bash (bash scripts/logs.sh -t 5m or -f 'PROMPT-MODE'), analyze logs, summarize findings and suggest fix or next step.

3. Hangs / unresponsive UI / 100% CPU (different from a logic bug)

When the app freezes (beachball, pinned CPU), the logs go silent at the freeze point — the last line is where it wedged, and view-logs-via-bash alone can't go further. Switch tools:

Confirm + locate: pgrep -x WhisperShortcut, then ps -p <pid> -o %cpu,state. A hung app is state R at ~100% CPU (idle is S at ~0%).
Capture the stuck stack: sample <pid> 3 -mayDie > /tmp/ws_hang.txt. Aggregate the hot frames (grep -oE the repeated …Layout / …dylib symbols). All samples inside one runloop-observer transaction with none in event-wait = a single unbounded operation (e.g. a non-converging SwiftUI layout loop), not 60fps churn.
Correlate the last log timestamp with the trigger (what was just rendered or inserted), then add DebugLogger tripwires around that step so the next occurrence is unambiguous in the log.
The app won't self-recover — kill -9 <pid> before rebuilding.

When to apply

Bug report / "it doesn't work" / "debug" / "figure out why" → full flow (instrument → rebuild → repro → logs).
App froze / beachball / spinning / unresponsive / pinned CPU → section 3 (sample the process first).
"Add logging" / "see what's happening" → instrumentation only (optionally rebuild).
"View existing logs" only → use view-logs-via-bash instead; skip for pure feature work with no bug or visibility request.