A specialized diagnostic tool to analyze Xcode build performance, track errors, and identify compilation bottlenecks directly from macOS DerivedData logs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install xcode-build-analyzer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install xcode-build-analyzer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Xcode Build Analyzer?
The Xcode Build Analyzer is a sophisticated utility designed for macOS developers using Openclaw Skills to gain deep insights into their compilation cycles. By parsing the structured logs and compressed activity data stored in the DerivedData directory, this skill provides a transparent view of build history, performance trends, and hidden warnings that often go unnoticed in the standard Xcode UI.
This tool serves as a bridge between raw log files and actionable developer intelligence. By leveraging native macOS utilities, it allows developers to audit their build pipelines without installing heavy third-party dependencies, making it an essential addition to any suite of Openclaw Skills.
Xcode Build Analyzer Use Cases
- Identifying specific files or modules causing slow compilation times to optimize build speed.
- Auditing build history to track when specific errors or warnings were introduced into the codebase.
- Preparing for Swift 6 by extracting concurrency-related warnings and data race issues specifically.
- Monitoring DerivedData disk usage and managing cache cleanup safely to reclaim storage.
- Generating build trend reports to visualize average, median, and peak build durations over time.
How Xcode Build Analyzer Works
- The skill identifies the project's unique directory within the macOS DerivedData path using naming patterns and info.plist metadata.
- It parses the LogStoreManifest.plist to retrieve a high-level index of all recent build activities, including timestamps and high-level status codes.
- For detailed diagnostics, the tool decompresses xcactivitylog files using gunzip to access the Structured Log Format (SLF) data.
- It applies regex-based extraction and Python processing to categorize warnings, errors, and TaskMetrics for wall-clock duration analysis.
- The resulting data is formatted into readable summaries, providing clear visibility into the build lifecycle for users of Openclaw Skills.
Xcode Build Analyzer Setup
To use this tool within Openclaw Skills, ensure you are running on macOS with Xcode installed. No additional package managers are required as it leverages native system tools.
# Verify required system binaries are available
which plutil gunzip sqlite3
# Ensure the skill has access to the DerivedData directory
ls ~/Library/Developer/Xcode/DerivedData
Xcode Build Analyzer Data Schema & Taxonomy
The skill organizes data by extracting metadata and logs from the standard Xcode directory structure using a read-only approach.
| File Type | Purpose | Key Data Points |
|---|---|---|
| info.plist | Project Metadata | Workspace path, last accessed date |
| LogStoreManifest.plist | Build Index | Duration, status (S/W/E), error counts, scheme names |
| *.xcactivitylog | Detailed Logs | Compiler output, TaskMetrics (wcDuration, maxRSS), concurrency warnings |
| DerivedData | Cache Storage | Disk usage per project, build artifacts |
Xcode Build Analyzer Advanced Features
- Automated extraction of Swift 6 concurrency and Sendable warnings for migration planning.
- Microsecond-level task timing analysis to find the slowest steps in a compilation graph.
- Detailed memory usage tracking per build task to identify resource-heavy compiler processes.
- Interactive DerivedData cleanup suggestions with size calculations to reclaim disk space safely.
- Historical timeline visualization using ASCII-based bar charts for build duration trends within Openclaw Skills.
SKILL.md
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