Hands-on prompt engineering and LLM evaluation. Built around a diagnose-then-ship loop: forensic transcript critique ▎ that names the exact failure mode, paired with a fixer that produces complete, deployment-ready rewrites — not ▎ vague advice.
Autopsy and rewrite the first second of your Shorts — eight field-tested failure patterns, ranked rewrites, and a promise ledger the body must pay.
Before you write code, kill the causes of rework. A phase-gate skill that runs a pre-implementation diagnosis (clarify requirements, success criteria, non-goals, hidden risks) and sets up the dev environment (toolchain check, repo init, dependency/secret/config templates, DB/API contract, folder layout). Each gate must pass before moving on. Delivers a diagnosis report, a stack-selection doc, and a ready-to-build foundation to hand off to implementation.
Point it at your web repo and it scaffolds a complete Playwright E2E UI-test suite for you — auto-detects your router (Nuxt / Next / Vue Router / React Router), discovers your routes, plans the data-testid tagging, and generates ready-to-run mock-backed and real-backend specs, a playwright.config, and a login setup project. Zero config.
Pre-submission quality gate for AI-generated broadcast scripts. Catches timing errors, sponsor name mistakes, host voice drift, missing stage directions, and unverified facts before they reach production. 8 documented failure patterns. Works for podcasts, YouTube, and live broadcast.
A kickoff protocol (agent skill) for multi-step tasks. Before writing any code, the agent must: run a spec interview, batch every human-authorization step into one checklist, build a self-verification loop (log sink + verify script + dry-run) *before* the feature itself, and build comparable variants instead of blocking on third-party decisions.
Get to the root of why loadbearing instructions fail You get the Drop Table, a plain-English root cause, a rebuild, and a scoreboard you keep
This agent helps Python teams using the Anthropic or OpenAI SDK safely cut LLM spend without risking regressions. With zero code changes, it maps call sites and runs your test scenarios to rank token waste from missed prompt caching or heavy model tiers. It tests fixes in isolated git worktrees, enforcing a strict "do-no-harm" gate that reverts any patch failing to preserve behavior. It delivers a clear savings audit that converts into verified, behavior-preserving code patches upon opt-in.
한글 문장 한 줄만 쓰면 Playwright E2E 테스트 spec, 실행 명령어, 예상 오류, Fix Prompt까지 한 번에 만들어주는 테스트 자동화 스킬입니다. 프론트/풀스택 개발자와 소규모 QA 팀이 한국어 기획을 테스트 코드로 옮기는 시간을 줄여줍니다.