Individual skill

replay-oriented-instrumentation

Instruments programs to record execution information for deterministic replay debugging. Use when debugging hard-to-reproduce bugs (race conditions, timing issues, intermittent failures, heisenbugs), reproducing production failures, or analyzing complex execution sequences. Records non-deterministic events (I/O, threading, randomness, time) to enable exact replay of program executions. Supports Python, JavaScript, Java, and C/C++ with both custom instrumentation and existing replay tools.

skills/replay-oriented-instrumentation/SKILL.md

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License: Apache-2.0

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# Replay-Oriented Instrumentation

Instrument programs to capture execution information that enables deterministic replay, making it possible to reproduce and debug failures that are difficult to reproduce normally.

## Core Concept

Deterministic replay works by:
1. **Recording**: Capture all non-deterministic inputs during execution
2. **Replaying**: Re-execute the program using recorded inputs to reproduce exact behavior
3. **Debugging**: Use replay to analyze failures with time-travel debugging

## Workflow

### 1. Identify Non-Determinism Sources