rstackjs/agent-skills

rspack-tracing

Capture or analyze Rspack build traces to locate slow compiler phases, plugins, loaders, or the last events before a build failure.

소스 보기

사용 방법

  1. 설치 명령을 복사하고 자신의 에이전트 환경에 설치하기 전에 소스 패키지를 확인하세요.
  2. 필요한 도구, 인증 정보, 지원 환경은 원본 문서에서 확인하세요.
  3. 입력과 원하는 산출물을 설명하고 출처와 결과를 대조하세요.
npx skills add https://github.com/rstackjs/agent-skills --skill rspack-tracing

시작 전 확인

  • 설치에는 모델 구독, API 한도, 파일 접근 권한이 포함되지 않습니다.
  • 별점 수와 설치 수는 활동 지표이며 독립적인 품질·보안 검증이 아닙니다.
원본 Skill 문서

원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.

Rspack tracing & performance profiling

When to use this skill

Use this skill when you need to:

  1. Diagnose why an Rspack build is slow.
  2. Understand which plugins or loaders are taking the most time.
  3. Analyze a user-provided Rspack trace file.
  4. Guide a user to capture a performance profile.

Workflow

1. Capture a trace

First, ask the user to run their build with tracing enabled.

bash
# Set environment variables for logging to a file
RSPACK_PROFILE=TRACE RSPACK_TRACE_LAYER=logger RSPACK_TRACE_OUTPUT=./trace.json pnpm build

This will generate a trace file in a timestamped directory like .rspack-profile-{timestamp}-{pid}/trace.json.

See references/tracing-guide.md for more details on configuration.

2. Quick diagnosis for Crashes/Errors

If the user wants to identify which stage a crash or error occurred in, use tail to quickly view the last events without running the full analysis:

bash
# Navigate to the generated profile directory
cd .rspack-profile-*/

# View the last 20 events to see where the build failed
tail -n 20 trace.json

The last events will show the span names and targets where the build stopped, helping to quickly pinpoint the problematic stage, plugin, or loader.

3. Full performance analysis

For detailed performance profiling (not just crash diagnosis), ask the user whether to run the bundled `scripts/analyze_trace.mjs` on the generated trace file. If they agree, resolve it relative to the Skill root while keeping the working directory in the user's project, then run:

bash
# Navigate to the generated profile directory
cd .rspack-profile-*/

# Run the analysis script
node "<skill-root>/scripts/analyze_trace.mjs" trace.json

4. Interpret results

Use the output from the script to identify bottlenecks. Consult references/bottlenecks.md to map span names to actionable fixes.

5. Locate slow plugins

Based on the "Top Slowest Hooks" from the analysis script:

  1. Identify the Hook: Note the hook name (e.g., hook:CompilationOptimizeChunks).
  2. Inspect Configuration: Read rspack.config.js or rsbuild.config.ts.
  3. Map Hook to Plugin: Look for plugins and their sources that tap into that specific hook.
  4. Output: Output the paths, lines and columns of the suspected plugin source code.

Common scenarios & quick fixes

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