解释火山 AI 音视频互动的产品能力、适用边界与最新官方文档;生成或修改 VoiceChat/Aibot 配置;并帮助用户搭建、运行和分阶段排查最小 InteractAI VoiceChat Web Demo。
日本語の概要は準備中です。原文の説明を表示しています。
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概要と使いどころ
解释火山 AI 音视频互动的产品能力、适用边界与最新官方文档;生成或修改 VoiceChat/Aibot 配置;并帮助用户搭建、运行和分阶段排查最小 InteractAI VoiceChat Web Demo。
日本語の概要は準備中です。原文の説明を表示しています。
Exhaustive idea extraction through recursive breadth-before-depth exploration with Deep Think protocol and fractal structure. Use during /ideate to transform raw ideas into comprehensive, structured ideation output. Writes to a fractal folder hierarchy — every node has an index, CX file, and children.
日本語の概要は準備中です。原文の説明を表示しています。
Data Quality Specialist IA — Expert en qualité des données (profiling, cleaning, déduplication, validation de schéma, Great Expectations)
日本語の概要は準備中です。原文の説明を表示しています。
Remove AI writing patterns and enforce rigorous technical-prose conventions in Japanese. Derived from hardikpandya/stop-slop + k16shikano japanese-tech-writing. NEVER 33 + 論証と構成の規範 + 用語と register の自然さ + クイックチェック 28 + 5 軸スコアリング + 翻訳調 AI 語の検出を含む。Use when drafting, editing, or reviewing Japanese text to eliminate predictable AI tells and tighten argumentation.
claude-org-runtime のリリース (release-* タスク / vX.Y.Z タグ発行) を、 同 PyPI 発行を受ける claude-org-ja 側の expectation 同期と ペアで設計・委譲・完了させるためのワークフロー。 DEFAULT_NOTIFY 値・classifier vocabulary・role_configs_schema (ja 側ミラー: org_extension_schema)・attention.example.json テンプレ等が 変わるリリースで発動する。 CI cascade を予測・予防し、ja-side の red を回避することを目的とする。
Use when the user provides multiple options and wants a specific 16-minds (MBTI) personality to make the decision in that personality's judgment style. Triggers on Japanese phrases like 「ENTJで決めて」「INFPならどっち選ぶ」「INTJとして判断して」, English equivalents like "decide as ESTJ" / "which would ENFP pick", or 16-minds commands with a `--decide` flag. Requires both a personality and 2+ options to be present or extractable from the request.
Delegate writing predictable code to the `code-write` command, which has a cheaper writer model write the target file directly so the generated code never enters your context. Use for tests, scaffolding, fixtures, boilerplate, or a new file that copies an existing pattern, and when the user says "code write", "生成を委譲", or "雛形を書かせて". Do NOT use for design decisions, changes to public contracts or shared modules, edits inside an existing file that needs judgment, or logic with subtle correctness requirements.
Fractal geometry and self-similarity skill; use when working on recursive geometric or visual systems.
日本語の概要は準備中です。原文の説明を表示しています。
Claude Code (code.claude.com) の各サーフェス(Desktop / IDE / Web / モバイル / ターミナル UX)リファレンス。 Desktop app(launch.json, scheduled tasks, WSL, Linux, iOS simulator)、 VS Code / JetBrains / Chrome 拡張連携、claude.ai/code(Web)と mobile アプリ、 interactive mode, fullscreen, voice dictation, accessibility, computer use, artifacts。
Android アプリ開発 (Kotlin) の推奨アーキテクチャリファレンス。 Jetpack, androidx, UI layer, Domain layer, Data layer, state holder, UDF, SSOT, オフラインファースト, モジュール化, ViewModel, viewModelScope, SavedStateHandle, Lifecycle, repeatOnLifecycle, collectAsStateWithLifecycle, LiveData, Hilt による DI, Paging 3 によるページング処理。
Operação de aplicação Laravel em produção — Horizon, queue, scheduler, Octane, Redis, Supervisor, PHP-FPM, cache e deploy. Use quando o usuário disser "laravel", "horizon", "queue", "fila travada", "job falhando", "octane", "artisan", "php-fpm", "supervisor", "scheduler não roda".
日本語の概要は準備中です。原文の説明を表示しています。
[20] UNDERSTAND. Achieve complete clarity on goals, expectations, and success criteria. Use when starting new tasks, when requirements seem unclear, when scope is ambiguous, or anytime you need full understanding of what success looks like. Triggers on "clarify goal", "understand requirements", "what exactly needed", "define success", or when facing unclear expectations.
日本語の概要は準備中です。原文の説明を表示しています。
Systematic methodology for eliciting, representing, and operationalizing expert cognitive skills—pattern recognition, situation assessment, mental simulation—from practitioners without requiring research training. Bridges academic rigor and practical usability.
日本語の概要は準備中です。原文の説明を表示しています。
Systematic methodology for eliciting, representing, and operationalizing expert cognitive skills—pattern recognition, situation assessment, mental simulation—from practitioners without requiring research training. Bridges academic rigor and practical usability.
日本語の概要は準備中です。原文の説明を表示しています。
Apply AlphaGo-style patterns: learned priors plus search, mixed evaluators, self-play, and asynchronous fast/slow loops. Use for intractable search and compute allocation. NOT for basic supervised learning, tractable optimization, or domains without search bottlenecks.
日本語の概要は準備中です。原文の説明を表示しています。
作業状況や判断の根拠をローカルのMarkdownに保存し、ClaudeやCodexなどの間で引き継ぐスキル。共有した文脈の検索や記録の不整合の診断も案内します。
Polymarketの予測市場を検索し、出来事の見込みを価格に基づく割合で示すスキル。取引量、売買注文の一覧、価格履歴を取得して、市場の動きを調べられます。
システムの構成やデータの流れを、クリックして詳しく読める立体的なHTMLマップに整理します。同じデータから説明文も生成し、設計上の判断や未解決の質問を管理します。
A contract for what the agent does when a long, messy, stream-of-consciousness ramble arrives (usually voice dictation): act on nothing until the echo brief is approved. The echo audits the entire transfer, mission, locked decisions and constraints, open questions, flips and parked tangents, with the model's inferences and guesses quarantined away from the user's own phrasing, so the user verifies what the model believes, not just what it doubts. Use when the user says "let me think out loud" or wants to ramble a bit before building anything, when a message opens with a speech-to-text preamble like "switching to voice, sorry for typos", when input is a long weakly punctuated stream with restarts and mid-message reversals ("actually no, wait, scrap that idea entirely"), or when the user asks to be interviewed about a fuzzy half-formed idea. Includes an optional capture mode for rambles spread across several messages and an optional targeted interview.
日本語の概要は準備中です。原文の説明を表示しています。
Guides systematic root-cause debugging. Use when tests fail, builds break, something that worked yesterday broke, behavior doesn't match expectations, or you encounter any unexpected error. Use when you need to figure out what broke and why — a systematic approach to finding and fixing the root cause rather than guessing.
日本語の概要は準備中です。原文の説明を表示しています。
Delegate user-requested work to an existing Paperclip agent, with a durable task reference and clear execution expectations.
日本語の概要は準備中です。原文の説明を表示しています。
Apple-tier soft web prototype. Silver/cream canvas, double-bezel cards, button-in-button CTAs, generous squircle radii, spring motion, ambient mesh. Distilled from Leonxlnx/taste-skill `soft-skill` + sections 4–8 of `taste-skill`.
日本語の概要は準備中です。原文の説明を表示しています。
A real-time data/particle/simulation visualizer whose heavy compute runs in a Web Worker (off the main thread), optionally sharing memory with the UI via SharedArrayBuffer, and renders to a canvas at 60fps. Produced as a single self-contained `index.html`. Use when the brief asks for a "web worker", "simulation", "particle system", "physics", "off-main-thread", "fractal", "real-time compute", or "audio/data visualizer". OpenDesign serves this in powered-preview mode so Workers and SharedArrayBuffer actually work.
日本語の概要は準備中です。原文の説明を表示しています。
A crisp greybox / blueprint lo-fi wireframe — neutral grey blocks on a pale page, image placeholders drawn as a rectangle with a diagonal X, text shown as solid "lorem bars" of varying widths, sharp 1.5–2px borders, and a single monospace redline accent for annotations. Reads like a structural blueprint before any visual design is applied. Use when the brief asks for "greybox", "blueprint wireframe", "lo-fi dashboard", "low fidelity", "线框图", or "灰盒原型".
日本語の概要は準備中です。原文の説明を表示しています。