sjinks

Architecture and design workflow skills for AI agents: recording decisions, comparing tradeoffs, designing interface contracts, reviewing dependency choices, designing failure behavior, building type-safe designs, and planning development containers.

Commit and pull request discipline skills for AI agents: cleaning branch history, drafting and auditing commit messages, and writing reviewer-ready pull request descriptions without rewriting history or posting live updates.

Instruction-authoring workflow skills for AI agents: creating portable instruction packages, writing and auditing controlled-English agent instructions, assessing agent skills for readiness, and diagnosing instruction defects.

Review workflow skills for scoping pull requests, improving review findings, planning root-cause fixes, managing review disagreements, and gatekeeping merge readiness.

Requirements and specification workflow skills for AI agents: auditing acceptance criteria, finding requirement ambiguity, sharpening requirements, defining scope boundaries, surfacing assumptions, enumerating edge cases, consolidating same-kind artifacts, and reconciling docs against the live source tree.