Skills directory

Use when integrating with Tesla's official Fleet API to read vehicle/energy device data or issue remote commands (e.g. start HVAC preconditioning, wake vehicle, charge controls). Covers onboarding (developer app registration, regions/base U

Create and manage test data with factory patterns, fixture strategies, data anonymization, and synthetic data generation. Covers Fishery (TypeScript), FactoryBot (Ruby), Factory Boy (Python), database seeding, cleanup strategies, and GDPR-c

Design environment strategy for testing across dev, CI, preview, staging, and production — Docker Compose test infrastructure, multi-stage Dockerfiles, seed-data lifecycle, per-PR preview environments, production parity, and external-depend

Shrinking glTF assets for three.js with gltf-transform: inspect, validate and optimize commands, Draco, meshopt and quantization, KTX2, WebP and AVIF textures, the loader setup each output needs, and gltfjsx for React. Use when compressing,

Measuring and optimizing three.js speed: render statistics, memory counters, fewer draw calls via merging, instancing, batching and LOD, fill rate, shadows, CPU work per frame, shader stalls and GPU compute for particles, WebGL or WebGPU wi

Building three.js scenes from React with React Three Fiber and drei: renderer setup, the scene graph as JSX, frame-loop, state and loading hooks, pointer events, and adaptive performance, on WebGL or with WebGPU and TSL. Use when writing Re

Generate a design document (design proposal) from a PRD, in the style of Go's official design proposals — Abstract / Background / Design / Rationale / Compatibility / Implementation, heavy on the 'why' and tradeoffs. Triggers on: to-design,

Decompose a PRD and/or SPEC into implementable, vertically-sliced Issues with real blocking edges, then create them in your chosen platform (GitHub or Local). Use after /prd (and optionally /prd-to-spec) to turn requirements into agent-read

Use to report how hardcoded style values on a page, file or diff map onto a project's existing design tokens, such as "are we using our tokens here", "which hardcoded colors map to which tokens", a token audit or planning a token migration.

Orchestrates modular PyTorch profiler trace analysis with TraceLens: generates perf reports, prepares category data, runs system-level and compute-kernel subagents in parallel, validates outputs, and writes a prioritized stakeholder report

Make any UI appear as if an AI agent is generating it. A dotted wireframe is drawn from the element's own structure (outline, boxes, text lines, icon paths, with guides, corner handles and size labels), then the real UI is revealed behind a

Turborepo と pnpm でモノレポを構成・運用する。apps と packages の分離、workspace:* による内部依存、共有 tsconfig、責務パッケージ、turbo.json のタスク定義とキャッシュ、pnpm コマンドによる package.json 生成、Cargo や Go など非 JavaScript プロジェクトの取り込み。パッケージの追加、turbo.json や pnpm-workspace.yaml や tsconfig の編集、a

パッケージの追加、turbo.json、pnpm-workspace.yaml、tsconfig の編集、apps や packages の構成変更を行うときに参照する。このスキルは turborepo スキルに統合した。内容は turborepo スキルを使う。

Use to critique a screen, flow, prototype or running build, accessibility included, and rank what is broken, such as "check this page before I ship", "is this flow ready", "is it accessible", keyboard or screen-reader checks, "it feels off

Review and understand freshly AI-generated code. Scans the current repo's uncommitted/branch changes and builds a Claude-style light-themed two-column webpage — left is the project folder tree of changed files, right is the selected file's

You MUST use this when anyone - you, a subagent, or the user - is about to state that work is done, fixed, ready, or mergeable, and before the commit that completes it, a merge, opening a pull request, or a handoff report, including work th

Generate a Phase-2 Walkthrough artifact (walkthrough.md) once implementation and verification are complete. Captures a Change Summary, Verification Steps (commands + unit tests + automated browser testing outcomes), Visual Proof (screenshot

Experimental. User-invoked via /webapp-debugger only. Debugs and verifies a local web app through the agent-browser CLI - opens pages, interacts by accessibility refs, and collects console, page errors, network, and screenshots as evidence.

文章を書く・推敲するときに読む。ドキュメント、コメント、コミットメッセージ、PR 本文、記事のような説明文と、小説のような読み物が対象である。「AI っぽい」「読みにくい」文章を直すときにも使う。

Write Celigo settings forms -- the form definition (settingsForm) the Celigo UI renders to collect a resource's settings, on integrations, flow groups, flows, exports, imports, connections, and iClients. Covers the seven scopes and how step