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概要と使いどころ
Azure AI VoiceLive SDK for Java. Real-time bidirectional voice conversations with AI assistants using WebSocket. Triggers: "VoiceLiveClient java", "voice assistant java", "real-time voice java", "audio streaming java", "voice activity detection java".
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。
Azure AI Voice Live SDK for JavaScript/TypeScript. Build real-time voice AI applications with bidirectional WebSocket communication. Use for voice assistants, conversational AI, real-time speech-to-speech, and voice-enabled chatbots in Node.js or browser environments. Triggers: "voice live", "rea...
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。
You are an API mocking expert specializing in realistic mock services for development, testing, and demos. Design mocks that simulate real API behavior and enable parallel development.
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。
Forensic root cause analyzer for Antigravity sessions. Classifies scope deltas, rework patterns, root causes, hotspots, and auto-improves prompts/health.
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。
Detects ransomware encryption activity in real time using entropy analysis, file system I/O monitoring, and behavioral heuristics. Identifies mass file modification patterns, abnormal entropy spikes in written data, and suspicious process behavior characteristic of ransomware encryption routines. Activates for requests involving ransomware behavioral detection, entropy-based file monitoring, I/O anomaly detection, or real-time encryption activity alerting.
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。
Audit websites for SEO, performance, security, technical, content, and 15 other issue cateories with 230+ rules using the squirrelscan CLI. Returns LLM-optimized reports with health scores, broken links, meta tag analysis, and actionable recommendations. Use to discover and asses website or webapp issues and health.
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。
本番と同じ失敗を本番前に検出するためのテスト階層設計スキル。 DB方言差、実依存関係、永続化確認、timezone差、packaging整合性、 adversarial regressionをunit/integration/e2e/smoke/packagingに 適切に割り振り、PR CIで最低限の本番同等性を保証する。 Use when designing production-parity tests, closing test blind spots, building smoke suites for real dependencies, verifying persistence beyond UI success, or creating adversarial regression backlogs.
ネットワーク品質を総合的に診断し、ボトルネックの特定と根本原因の深堀りまで行うスキル。 接続情報、レイテンシ、ダウンロード速度、HTTP接続タイミング、経路解析を自動実行し、 品質閾値に基づく総合評価を日本語レポートとして出力する。 外部依存なし（OS標準ツールのみ使用）、macOSおよびLinux対応。 Use when diagnosing network quality, troubleshooting slow connections, identifying network bottlenecks, measuring latency/bandwidth/jitter, or generating network health reports. 「ネットワーク診断」「network diagnostics」「ネットワークが遅い」 「latency check」「bandwidth test」「traceroute analysis」
Use when designing, implementing, reviewing, debugging, testing, profiling, or porting concurrent, parallel, distributed, high-performance, network dataplane, kernel-bypass, or real-time software, including locks, semaphores, monitors, MPI, CSP rendezvous, DPDK, VPP, eBPF, XDP, AF_XDP, SR-IOV, RSS, RoCEv2/RDMA, RMS/EDF, priority inversion, and environment selection from silicon to edge.
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。
インシデント調査で根本原因を特定するためのなぜなぜ分析ファシリテーター。推測を避け、ユーザーの発言を記録し、マインドツリーで全体を可視化する。障害発生後の原因究明、ポストモーテム、再発防止策の策定に使用する。Do NOT use for 定期的なサービス健全性チェック（health-checkを使用すること）。
Author or expand browser-agent benchmark tasks in data/real_world_bench.json (Odysseys schema, per-rubric graded). Use when creating, adding, or expanding real-world browser tasks, writing rubrics, or picking bot-friendly sites — every task MUST be verified runnable through ego-browser before it is written.
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。
Validate bugs and features that depend on local hosts, localhost, filesystem home state, auth, polling, installed apps, real conversations, or signed native helpers.
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。
Knowledge base synthesized from the Guide to the Systems Engineering Body of Knowledge (SEBoK) v2.14 by the BKCASE Project. Use for the established systems-engineering canon: SE fundamentals and foundations (systems science, systems thinking, the systems approach, modelling/MBSE), the life cycle (ISO/IEC/IEEE 15288/24748/24774 process, development & agile approaches, model selection/tailoring), technical management, concept definition, architecture/realization (the Vee), V&V, maintenance/sustainment, SE standards, and the application contexts (product, service, enterprise, systems-of-systems, healthcare), plus enabling SE (business/team/individual), related disciplines, quality attributes/specialty engineering, implementation examples, and emerging knowledge. Good for grounding background, vocabulary, and prior-art positions across all eight SEBoK Parts. SCOPE LIMITS: this pack is SEBoK v2.14 only (released 2026-05-18); it synthesizes and signposts rather than reproducing the source — it does not reproduce ISO/IEC/IEEE standard text, is a curated guide (not a complete textbook), and is thin on AI-integration depth (Part 8 is a staging area, not settled practice). LICENCE: content is CC BY-NC-SA 3.0 — non-commercial use only, attribution to the BKCASE Project required, share-alike obligations carry forward.
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。
Knowledge base from the FAA Requirements Engineering Management Handbook (DOT/FAA/AR-08/32). Use for writing requirements for real-time, embedded control systems — the avionics/medical slant — via the Handbook's eleven recommended practices: system overview and boundary (monitored/controlled variables), operational concepts (use cases), environmental assumptions, change-tolerant functional architecture (dependency diagrams), safety-driven architecture revision (FHA/PSSA/fault tree), system modes, detailed behavior and performance requirements (ideal value + tolerance + latency), the four-variable model bridge to software requirements (MON/CON/NAT/REQ, IN'/REQ'/OUT', DO-178B mapping), subsystem allocation, and rationale. Carries the Isolette Thermostat and Flight Control System worked examples. Slanted toward control systems with sensors and actuators; thin on information-system / enterprise / agile requirements, on requirements-management tooling, and on the formal-methods internals of SCR/RSML/SpecTRM (it names them, does not re-teach them). Does not reproduce the IEEE/DO-178B/ARP standards it cites.
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。
Reviews a proposal, business case, deck or plan in character as a Chief Business Officer archetype, covering commercial model, partnerships, deal structure, market positioning, strategic fit and opportunity cost, and returns a DRAFT review with a verdict, findings that cite the exact passage, commercial risks and five interrogation questions. Use when the user asks to "run a CBO review", "pressure-test this partnership", "check the deal structure" or "what would a commercial executive say about this". Do not use for pipeline, quota, sales-motion or forecast reviews, use cro-reviewer instead. Drafts for human review; never approves, authorises or signs off.
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。
Reviews a proposal, business case, deck, plan or contract summary in character as a General Counsel archetype and returns a DRAFT review in the chat with a verdict, findings that cite the exact passage or clause, legal risks, what would change the verdict and five interrogation questions. Meeting preparation, not legal advice. Use when the user asks to "run a general counsel review", "what would legal say about this", "pressure-test the legal exposure in this deal" or "prepare me for the deal committee". Do not use for price, term, renewal or vendor leverage, use procurement-reviewer instead; for lawful basis and data flows, use cdo-reviewer; for security controls, use ciso-reviewer. Drafts for human review; never approves, authorises or signs off.
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。
Drive the user's host machine directly through Cua, with no sandbox. Maps to Cua's Localhost API. Higher risk - the agent can click, type, and run shell commands on the real desktop. Use only when the user explicitly opts in and read the safety section first. Triggers - "control my computer", "click here", "use my real Chrome", "no sandbox", "내 컴퓨터 자동화".
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。
Interactive English conversation practice partner for Japanese learners. Use this skill whenever the user wants to practice speaking English, role-play a real-life situation (hotel check-in, restaurant, airport, business meeting, technical discussion, code review, job interview, daily small talk, etc.), discuss a technical article in English, or asks how to phrase something naturally in English. Trigger on requests like 'let's practice English', 'I want to talk in English', 'role play', 'pretend you are a ___', 'discuss this article in English', 'how do I say X in English'. 英会話練習・ロールプレイ・英語表現の質問のためのスキル。「英会話したい」「英語で話そう」「ロールプレイ」「ホテルのチェックイン練習」「この記事について英語で話したい」「xxって英語でどう言う？」などのリクエストで起動する。ユーザーは音声入力で会話する想定。会話前に想定問答・頻出表現・単語を提示し、会話を開始、最後に添削まで行う。
Stop black console windows (cmd, PowerShell, Windows Terminal) from flashing and stealing focus on a Windows machine. Use when scheduled tasks, hooks or background scripts pop up consoles: finds all three sources with evidence, silences them reversibly and proves the before and after count. Triggers: /windowless, black windows, console windows popping, windows steal focus.
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。
Health-check the connected MCP servers and scout new ones: the safe pre-flight before integration work, plus a connector finder. Read-only by default. Triggers: "/mcp", "/mcp health", "/mcp discover <need>", "which MCP servers are alive", "find an MCP for <X>".
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。
Keep serialized build-in-public content continuous: read one canon file of season, arcs, beats and loops and say which narrative beat to advance next, so episodes chain into a series. Pairs with the episode adapter, which does the writing. Triggers: "/reality-show", "season state", "what arcs are open".
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。
Re-mint a ChatGPT bearer token when a nightly sync exits with a token-expired code: the session cookie lives for months and deterministically produces a fresh bearer, with no LLM and no browser. Triggers: "/chatgpt-token-heal", "chatgpt token dead", or the sync failing on that error.
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。
Manage the NV oOS Pro Toolkit CRM — leads, deals, companies, contacts, customers, activities, and support tickets. Covers the complete sales pipeline from lead capture through qualification, deal management, and post-conversion customer tracking with BANT/MEDDIC scoring, activity logging, and workflow automation. Use when working with CRM records, managing pipeline stages, qualifying leads, creating company profiles, logging calls/emails/meetings, or troubleshooting CRM data issues.
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。
Generates production-grade Appium mobile automation scripts for Android and iOS in Java, Python, or JavaScript. Supports real device and emulator testing locally and on TestMu AI cloud with 100+ real
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。