Agent skills

Independently verify one ready-for-verification agent ticket against its scope, repository state, real-interface tests, and fresh evidence.

SeldonFrame merge gate — run unit tests + tsc + check-use-server + migration-journal + regression-grep and return ONE pass/fail verdict.

Multi-AI requirements scoping using available external providers (Double Diamond Define phase)

Boolean logic and digital circuits with exact results — truth tables, minimal simplification, Karnaugh maps, normal forms…

Natural-language undo, rollback, and checkpoints that hide git entirely — "ย้อนกลับ", "undo", "ไม่เอาแล้ว", "เอาอันเดิมคืน" map to safe…

Dataset version control for research reproducibility.

Use when a Godot/.NET task needs a Layer 4 overlay upgrade review that evaluates engine, SDK, C# compatibility, addons/plugins, export…

Use when optimizing for Answer Engine Optimization — LLM citation tracking and E-E-A-T.

Use when designing multi-agent orchestration — patterns for delegation and coordination.

Use when applying web best practices — security headers, modern APIs, error handling.

Use when setting up or modifying build and deploy pipelines — shift left, quality gates.

Use when output quality drops or you switch tasks — feed agents the right information at the right time.

Use when diagnosing or optimizing LCP, INP, CLS — Core Web Vitals at the 75th percentile (LCP ≤2.5s, INP ≤200ms, CLS ≤0.1).

Use when implementing changes touching multiple files — thin vertical slices, feature flags, rollback-friendly.

Use when the request is underspecified — interview one question at a time until 95% confidence.

Use when building an MCP server from an OpenAPI spec.

Use when optimizing web performance — field/lab measurement, traces, and loading fixes.

Use when optimizing performance — measure first, then profile, bundle, and fix loading or runtime.

Use when you have a spec and need small verifiable tasks with acceptance criteria.

Use when acting as product manager — RICE, PRDs, backlog, and roadmap.

Use when tracking SaaS metrics — MRR, churn, CAC, and financial analysis.