Individual skill
trace-collection-assistant
Collect, normalize, and structure execution traces from instrumented programs (strace, ltrace) into JSON format for downstream analysis. Use when working with system call traces, library call traces, or execution logs that need to be analyzed for debugging, test case reproduction, or verification. Supports parsing strace/ltrace output, filtering noise, extracting debug information, and preparing traces for bug analysis or reproduction workflows.
skills/trace-collection-assistant/SKILL.md
Source commit 4f38503747e0617504bce5329283ef837d375c09
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Local scripts
- Last checked
- Nov 11, 2026
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Repository context
- Repository stars (not skill ratings)
- 260
- Repository last updated
- Aug 21, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- claude-skills Repository topic
- metaprogramming Repository topic
- software-development Repository topic
- software-engineering Repository topic
- claude Repository topic
- claude-code Repository topic
- testing Derived category
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SKILL.mdcore · 5,539 bytesSKILL.mdcore · 5,539 bytesSKILL.mdcore · 5,539 bytesSKILL.mdcore · 5,539 bytesSKILL.mdcore · 5,539 bytesSKILL.mdcore · 5,539 bytesSKILL.mdcore · 5,539 bytesSKILL.mdcore · 5,539 bytesSKILL.mdcore · 5,539 bytesassets/schema_template.jsonasset · 3,129 bytesreferences/analysis_guide.mddoc · 4,320 bytesreferences/json_schema.mddoc · 2,216 bytesreferences/trace_formats.mddoc · 2,587 bytesscripts/extract_debug_info.pyruns · 6,579 bytesscripts/filter_trace.pyruns · 4,020 bytesscripts/parse_ltrace.pyruns · 3,324 bytesscripts/parse_strace.pyruns · 3,390 bytes
Read excerpt
# Trace Collection Assistant
## Overview
This skill helps collect, normalize, and structure execution traces produced by instrumented programs (strace, ltrace), making them suitable for downstream analysis such as debugging, reproduction, or verification. It converts raw trace output into structured JSON format and provides tools for filtering, cleaning, and extracting relevant information.
## Quick Start
### Basic Workflow
1. **Parse raw traces** - Convert strace/ltrace output to JSON
2. **Filter and clean** - Remove noise and focus on relevant calls
3. **Extract debug info** - Identify errors, file operations, network activity
