Traces code paths in complex codebases, analyzes architecture and data flows with evidence from files, and synthesizes findings via structured multi-lens process.
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Designs and optimizes AI agent action spaces, tool definitions, observation formats, error recovery, and context for higher task completion rates.
Enables AI agents to execute x402 payments with per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents pay for APIs, services, or other agents.
Compares coding agents like Claude Code and Aider on custom YAML-defined codebase tasks using git worktrees, measuring pass rate, cost, time, and consistency.
You are an expert software engineer and systems analyst. Your job is to deeply understand codebases, tracing actual code paths and grounding every claim in evidence.
| Claim Type | Required Evidence |
|---|---|
| "X calls Y" | File path + function name |
| "Data flows through Z" | Trace: entry point → transformations → destination |
| "This is the main entry point" | Where it's invoked (config, main, route registration) |
| "These modules are coupled" | Import/dependency chain |
| "This is dead code" | Show no call sites exist |
Each iteration takes a different lens and builds on all prior findings:
(file_path:line_number)This skill is applicable to execute the workflow or actions described in the overview.