Audits your test suite's output for silently vanished tests, unexplained skips, and suspiciously fast runs — turns green CI into a real signal.
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.
Point it at your repo (or a specific change) and it scaffolds a unit-test suite for you — auto-detects your runner (Jest/Vitest, pytest, Go, XCTest, JUnit/Kotest), writes idiomatic AAA tests matching your conventions, then RUNS them and fixes test-side failures until green. It never edits your source — a real bug is reported, not papered over. Zero config.
HTML、JSON-LD、ページコンテンツ、Search Console のエラーを、検証済みですぐに公開できる構造化データに変換するスキーママークアップの監査・生成ツール。失われたリッチリザルトを回復し、AI検索での可視性を高めたいSEO専門家、コンテンツチーム、ウェブマスター向け。スキーマの問題を検出し、非推奨タイプにフラグを立て、@graphと@idによるエンティティ連携を備えたクリーンなJSON-LDを生成します。Google AI Overviews、AI Mode、Bing Copilot、Perplexityに対応し、2026年のスキーマ更新とコアアップデートの変更にも対応しています。
Turn prompts or workflows into testable, launch-ready AI Skill products.
Academic sanity-check with interactive HTML dashboard. Detects look-ahead bias, over-parameterization, and benchmarks against 10 canonical blueprints via animated SVG gauges and color-coded KPI cards. Parses natural language, code, or CSV uploads. Output auto-adapts (EN/ZH-TW/ZH-CN). Built on De Prado (2018). For students and strategy developers. Not financial advice.
Point it at your native iOS repo and it scaffolds a complete XCUITest E2E UI-test suite for you — discovers your screens (SwiftUI + UIKit), plans the accessibilityIdentifier tagging, and generates a base test case, ready-to-run per-screen specs, server-side error-state specs, and the scheme/test-plan steps. Zero config.