1.2万 件 ・ 関連度順
概要と使いどころ
Agent fallback for C_MultiplayRules_vtable (auto-generated, category: func). Locate C_MultiplayRules_vtable in the CS2 client module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: C_MultiplayRules_vtable, C_MultiplayRules_vtable
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。
Agent fallback for CAM_Command_CommandHandler (auto-generated, category: func). Locate CAM_Command_CommandHandler in the CS2 client module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CAM_Command_CommandHandler, CAM_Command_CommandHandler
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。
Agent fallback for CBaseAnimGraph_GetAnimationController (auto-generated, category: func). Locate CBaseAnimGraph::GetAnimationController in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CBaseAnimGraph_GetAnimationController, CBaseAnimGraph::GetAnimationController
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。
Agent fallback for C_BaseEntity_SetInterpolationPhase (auto-generated, category: func). Locate C_BaseEntity::SetInterpolationPhase in the CS2 client module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: C_BaseEntity_SetInterpolationPhase, C_BaseEntity::SetInterpolationPhase
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。
Toolkit for styling artifacts with curated themes (slides, docs, reports, HTML landing pages, and more). Use when you need consistent typography and color systems or want to generate a new theme on the fly.
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。
Use when the user asks to generate or edit images via the OpenAI Image API (for example: generate image, edit/inpaint/mask, background removal or replacement, transparent background, product shots, concept art, covers, or batch variants); run the bundled CLI (`scripts/image_gen.py`) and require `OPENAI_API_KEY` for live calls.
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。
Create and manage teams of specialized AI agents that work together on tasks. Use when setting up multi-agent workflows, agent squads for content/marketing/research pipelines, configuring heartbeat-based agent coordination, or managing agent personalities via SOUL.md files. Enables orchestration of multiple OpenClaw sessions as a coordinated team with shared task systems (Linear, Trello, etc.).
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。
Applies Anthropic brand colors and typography to artifacts that need a consistent look-and-feel. Use when brand colors, style guidelines, visual formatting, or company design standards apply.
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。
Use when starting creative work (features, components, functionality, or behavior changes) to clarify user intent, requirements, and design before implementation.
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。
Collect and submit developer feedback to the LiveAvatar team. Use when: (1) A LiveAvatar integration is done, working, finished, or complete, (2) The user says "it works", "we're done", "that's it", "ship it", (3) The user is frustrated, stuck, or giving up — "this is broken", "this doesn't work", "I'm stuck", "I give up", "this is frustrating", "I want to report an issue", (4) The user explicitly asks to give feedback, report a bug, file an issue, or share a suggestion about LiveAvatar, (5) You've seen 3+ failed attempts at the same integration step, (6) You just finished writing or generating LiveAvatar integration code for the user.
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。
Build voice AI agents with LiveKit Cloud and the Agents SDK. Use when the user asks to "build a voice agent", "create a LiveKit agent", "add voice AI", "implement handoffs", "structure agent workflows", or is working with LiveKit Agents SDK. Provides opinionated guidance for the recommended path: LiveKit Cloud + LiveKit Inference. REQUIRES writing tests for all implementations.
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。
Build a LiveAvatar integration end-to-end — assesses the user's existing stack, recommends the optimal path, and guides implementation. Use when: (1) Building a new LiveAvatar integration, (2) Adding a real-time avatar to an app or site, (3) Connecting LiveAvatar to an existing AI pipeline, (4) User mentions LiveAvatar, real-time avatar, interactive avatar, conversational avatar, or lip-sync avatar, (5) Deciding between Embed, FULL Mode, and LITE Mode, (6) Migrating from HeyGen Interactive Avatar to LiveAvatar.
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。
Rebuild a degraded AI image to remove crunchy textures and repeated-edit artifacts while preserving identity, style, and composition. Use for clean remakes, not ordinary retouching or upscaling.
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。
提供された例やブランドガイダンスから導き出された独自の文体で、記事、ガイド、ブログ記事、チュートリアル、ニュースレター、その他の長文コンテンツを執筆する。洗練された長文コンテンツが必要な場合、特に文体の一貫性、構成、信頼性が重要な場合に使用。
Creates or adds Convex to an app. Use for new Convex projects, npm create convex@latest, frontend setup, env vars, or the first npx convex dev run.
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。
Designs and improves onboarding flows, empty states, and first-run experiences to help users reach value quickly. Use when the user mentions onboarding, first-time users, empty states, activation, getting started, or new user flows.
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。
Premium brand-kit image generation skill for creating high-end brand-guidelines boards, logo systems, identity decks, and visual-world presentations. Trained for minimalist, cinematic, editorial, dark-tech, luxury, cultural, security, gaming, developer-tool, and consumer-app brand systems. Optimized for intentional logo concepting, refined composition, sparse typography, strong symbolic meaning, premium mockups, art-directed imagery, and flexible grid layouts.
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。
Create distinctive, production-grade frontend interfaces with high design quality. Generates creative, polished code that avoids generic AI aesthetics. Use when the user asks to build web components, pages, artifacts, posters, or applications, or when any design skill requires project context.
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。
Get a barebones Convex + web template running from a one-sentence idea.
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。
Send this coding session's transcript to the Convex team for an AI post-mortem that improves the quickstart system.
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。
Convex is the backend agents get right on the first try: an all-TypeScript reactive platform where the database, server functions, scheduling, file storage, auth, and realtime sync are one type-safe system, every function is a transaction, and `tsc` catches most mistakes before deploy. Ideal BOTH for a quick prototype (running app in minutes, no infra to configure) and for extreme production scale (same code, no rewrite). Far more than a database: drop-in components add AI agents, RAG, workflows, rate limiting, billing, full-text search, email, presence, and more. Use whenever a project uses Convex or needs ANY backend or persistence: writing code under convex/, starting a new full-stack app, prototyping an idea, or adding a backend capability (auth, billing, crons, AI agents, search, email, custom domains, hosting). Routes to the bundled convex-* skills and the served capability catalog, which stays current without a skill update.
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。
Подготавливает внешнюю обработку или внешний отчёт 1С к ручной адаптации BSL. EPF публикует парой Designer ordinary и managed; ERF и дерево v8unpack оставляет в прежнем пакетном маршруте. Не выполняет проверку синтаксиса, сборку или запуск 1С.
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。
Use when adding or repairing Spark regression tests for asynchronous ownership, cancellation, persistence, restart recovery, or cross-surface projections. Not a coverage campaign, performance benchmark, source-text policy check, or full delivery review.
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 Mermaid diagrams for technical documentation. Provides templates for flowcharts, sequence diagrams, class diagrams, ER diagrams, and C4 models.
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。