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Comprehensive guide and toolkit for diagnosing Rspack build issues. Quickly identify where crashes/errors occur, or perform detailed performance profiling to resolve bottlenecks. Use when the user encounters build failures, slow builds, or wants to optimize Rspack performance.
Comprehensive guide and toolkit for diagnosing Rspack build issues. Quickly identify where crashes/errors occur, or perform detailed performance profiling to resolve bottlenecks. Use when the user encounters build failures, slow builds, or wants to optimize Rspack performance.
Source documentation, not instructions for this website. Review permissions before running any commands.
Use this skill when you need to:
First, ask the user to run their build with tracing enabled.
# 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.
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:
# 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.
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:
# Navigate to the generated profile directory
cd .rspack-profile-*/
# Run the analysis script
node "<skill-root>/scripts/analyze_trace.mjs" trace.json
Use the output from the script to identify bottlenecks. Consult references/bottlenecks.md to map span names to actionable fixes.
Based on the "Top Slowest Hooks" from the analysis script:
hook:CompilationOptimizeChunks).rspack.config.js or rsbuild.config.ts.RSPACK_PROFILE.name: rspack-tracing description: Comprehensive guide and toolkit for diagnosing Rspack build issues. Quickly identify where crashes/errors occur, or perform detailed performance profiling to resolve bottlenecks. Use when the user encounters build failures, slow builds, or wants to optimize Rspack performance.
---
name: rspack-tracing
description: Comprehensive guide and toolkit for diagnosing Rspack build issues. Quickly identify where crashes/errors occur, or perform detailed performance profiling to resolve bottlenecks. Use when the user encounters build failures, slow builds, or wants to optimize Rspack performance.
---
# 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](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`](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](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
- [Bottleneck Reference](references/bottlenecks.md): Mapping spans to concepts.
- [Tracing Guide](references/tracing-guide.md): Detailed usage of `RSPACK_PROFILE`.
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: MIT
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
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
66/100
Promising
Trust
57/100
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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Audit
74/100
Needs review
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.