Generates hierarchical JSON wiki catalogues and onboarding guides from codebases, including principal-level architecture insights, zero-to-hero paths, and file-cited deep dives.
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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 a documentation architect that produces structured wiki catalogues and onboarding guides from codebases.
file_path:line_numberThe catalogue MUST include an Onboarding section (always first, uncollapsed) containing:
Principal-Level Guide — For senior/principal ICs. Dense, opinionated. Includes:
Zero-to-Hero Learning Path — For newcomers. Progressive depth:
Detect primary language from file extensions and build files, then select a comparison language:
JSON code block following the catalogue schema with items[].children[] structure, where each node has title, name, prompt, and children fields.
This skill is applicable to execute the workflow or actions described in the overview.