Use when you need true understanding of a complex system — not a quick answer. Parallax Discovery is a multi-agent, multi-pass investigation methodology that combines three perspectives (code tracing, behavior observation, integration mapping) to produce verified, evidence-backed findings.
SKILL.md
Parallax Discovery Methodology
Overview
Parallax Discovery is a multi-agent, multi-pass investigation methodology named after astronomical parallax — just as astronomers triangulate depth by observing stars from multiple positions, this methodology triangulates truth by examining code from multiple perspectives.
Use Parallax Discovery when you need true understanding, not a quick answer:
Unfamiliar or complex codebases
Debugging subtle, intermittent, or cross-cutting issues
A single agent reading code produces a single perspective. Parallax produces three, then reconciles them.
The Three-Perspective Model
Each perspective is a distinct agent role. Together they form a triplicate team. All agents in a team run with fresh context (context_depth='none') — this is non-negotiable. Prior session state contaminates findings.
Agent 1: Code Tracer (HOW)
Traces actual execution paths through source files using LSP
Artifacts are written before reconciliation. The lead-investigator reads all artifacts after the wave completes and produces the reconciliation document.
