What problem does it solve?
This Skill prevents implementation mistakes by enforcing a disciplined workflow for reading the provided context, inspecting real data before coding, and verifying behavior quickly.
Core Features & Use Cases
- Bead-first execution: Ensures you use existing dispatch and root-cause context so you don’t re-investigate or miss edge-case findings.
- Data-then-code accuracy: Requires fetching the actual external-data shape (fields, formats, types) before implementing queries or integrations.
- Close-the-loop verification: Promotes fastest functional checks (curl/CLI/browser/database inspection) over “tests only” verification.
- Tool-aware validation: Encourages using available tools (e.g., MCP/browser/API inspection) when full testing seems blocked.
- Optional reasoning log: Supports maintainability by documenting deviations when choices might be questioned later.
- Epic contract adherence: Guides subagent work to align exactly with epic design docs when implementing children of larger features.
Quick Start
Ask the orchestrator for the bead’s dispatch context if no dispatch or context comments exist, then follow the rules to implement and verify the change using the logged findings.
