3,474 件 ・ 関連度順
概要と使いどころ
JavaScript/TypeScript ES2024+, async/await, DOM manipulation, Node.js, and API integration. Use when writing vanilla JS/TS code, working with REST/fetch APIs, implementing frontend logic, or configuring JS build tools.
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。
Manages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event processing. NOT for general MongoDB queries or Atlas cluster management. Requires MongoDB MCP Server with Atlas API credentials.
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。
NVIDIA DeepStream SDK development guidance for Python pyservicemaker pipelines, video analytics, TensorRT integration, and streaming inference workflows.
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。
Expert Aider (AI pair programming, git integration, multi-model, architecture)
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。
Expert en tests d'agents IA (tests unitaires, intégration, régression, guardrails, red teaming agents)
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。
Master the LangChain framework for building sophisticated LLM applications with agents, chains, memory, and tool integration.
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 production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations.
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。
Office productivity workflow covering document creation, spreadsheet automation, presentation generation, and integration with LibreOffice and Microsoft Office formats.
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。
Performs numerical and symbolic mathematics using NumPy, SciPy, SymPy, and mpmath. Use when the user needs linear algebra, arrays, optimization, integration, ODEs, symbolic expressions, equation solving, or arbitrary-precision arithmetic.
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。
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
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。
Write focused tdmcp tests for one assigned coverage gap. Use for Vitest/msw unit tests, integration tests, bridge tests, CLI/config/resource tests, and regression tests that should raise coverage without weakening behavior.
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。
Survey the whole tdmcp project and produce a prioritized list of NEW features it could implement — across artist controls, CLI/DX, AI/LLM integration, and TouchDesigner depth. Use whenever the user wants to brainstorm, discover, survey, list, or audit what features/tools/effects/controls/commands/prompts/capabilities tdmcp *could* add, asks 'what could we build / what's missing / what are the opportunities / ideas for the project', or wants a feature backlog or gap analysis. Also for follow-ups: re-run, refresh, update, re-survey, deepen, or re-prioritize the backlog, or survey just one surface (e.g. 'CLI ideas only'). This is the IDEATION harness — it produces a list to decide from; it does NOT build. When the user has already chosen a feature and wants it implemented/shipped/added, use tdmcp-pipeline instead.
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 interactive 3D scenes from Spline.design to web projects, including React embedding and runtime control API.
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。
Expert in TanStack Query (React Query) — asynchronous state management. Covers data fetching, stale time configuration, mutations, optimistic updates, and Next.js App Router (SSR) integration.
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。
Expert patterns for Neon serverless Postgres, branching, connection pooling, and Prisma/Drizzle integration
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 integrating Google Gemini API into projects. Covers model selection, multimodal inputs, streaming, function calling, and production best practices.
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。
Expert in Drizzle ORM for TypeScript — schema design, relational queries, migrations, and serverless database integration. Use when building type-safe database layers with Drizzle.
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。
Bring a machine to a complete, verified AOS installation: the skills pack, MCP servers, gate hooks, memB (engine, MCP, ambient hook, WebUI), OpenWiki (CLI, auth, harness integrations, refresh daemon) and Synapse. Run once on a new computer, and again whenever something in the ecosystem stopped working.
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。
Feishu (Lark) unified CLI for tasks, documents, wiki, bitable, messaging, approval, and Drive. Supports search/create/edit/publish/export across all modules. Use when reading/writing Feishu docs, searching docs or wiki, managing tasks, sending messages, creating approvals, exporting to Markdown, or any 飞书/Lark interaction.
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。
针对 cnb.cool 的云原生构建（CNB Build）：生成/修改 .cnb.yml 流水线、触发规则、 构建环境、runner 资源、缓存、环境变量、手动触发与调试。 在接入、迁移、优化或排查 CNB 构建配置时使用。
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。
Coding.net DevOps automation: MR lifecycle, CI operations (trigger/logs/stop), artifact registry, cross-project queries, remote file audit.
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。
Implement AlarmKit alarms and countdown timers for iOS and iPadOS with Lock Screen, Dynamic Island, and Apple Watch system UI. Covers AlarmManager scheduling, AlarmAttributes and AlarmPresentation, AlarmButton stop and snooze actions, authorization, state observation, and Live Activity integration. Use when building wake-up alarms, countdown timers, or alarm-style alerts that need Apple's system alarm experience.
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。
Expert guidance on Swift Testing best practices, patterns, and implementation. Use when developers mention: (1) Swift Testing, @Test, #expect, #require, or @Suite, (2) "use Swift Testing" or "modern testing patterns", (3) test doubles, mocks, stubs, spies, or fixtures, (4) unit tests, integration tests, or snapshot tests, (5) migrating from XCTest to Swift Testing, (6) TDD, Arrange-Act-Assert, or F.I.R.S.T. principles, (7) parameterized tests or test organization.
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。
Builds reusable Convex components with isolated tables and app-facing APIs. Use for new components, reusable backend modules, integrations, or component boundary 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。