What problem does it solve?
This Skill helps you deliver reliable, production-ready implementations by forcing an eval-first workflow, careful decomposition, and cost-aware routing between model tiers.
Core Features & Use Cases
- Eval-first execution loop: Baseline, run targeted regressions, implement, then re-run evals to quantify deltas and catch regressions.
- Risk-focused decomposition: Break work into independently verifiable units with clear done conditions and a single dominant risk each.
- Model tier routing: Use smaller models for narrow edits and classification, reserve larger models for refactors and architecture, and escalate only when the reasoning gap is clear.
- Quality and safety guardrails: Prioritize invariants, edge cases, error boundaries, and security/auth assumptions over style-only debates.
Quick Start
Use the agentic-engineering skill to plan an implementation by defining completion criteria, decomposing tasks into eval-backed units, routing each step to the right model tier, and verifying changes with regression checks.