Analyzes a software project's source code, git history, and architecture to estimate what it actually cost to build — and compares that against what it would cost using a modern AI agent fleet (Claude Code, OpenCode, Goose, Codex, Kimi Code) managed by a single engineer. Use this skill whenever the user wants to: audit a project's build cost, estimate software value, understand the ROI of AI-assisted development, calculate gross margins from AI vs human teams, evaluate outsourcing vs in-house costs, or benchmark a codebase's investment. Trigger on phrases like "how much did this cost to build", "estimate project cost", "AI vs human development cost", "gross margin from using agents", "what's this codebase worth", "value of the code", or "audit this project's effort".
Audits a software project to evaluate how well-structured it is for AI-assisted development. Use this skill whenever someone asks about "agent readiness", "AI readiness", whether a project is "ready for AI agents", "optimized for LLMs", "Claude-friendly", or wants to know how well their codebase supports autonomous AI workflows, automation, or agent-based development. Also trigger when the user says things like "analyze my project structure for AI", "is my repo ready for Claude Code?", "audit my project for automation", or "how well can an AI work on this codebase?". This skill produces a structured report with scores across 8 dimensions and actionable recommendations.