'language' 검색 결과

Automate time tracking workflows in Clockify -- create and manage time entries, workspaces, and users through natural language commands.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Automate Capsule CRM operations -- manage contacts (parties), run structured filter queries, track tasks and projects, log entries, and handle organizations -- using natural language through the Composio MCP integration.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Automate recruiting and hiring workflows in Ashby -- manage candidates, jobs, applications, interviews, and notes through natural language commands.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Automate Apollo.io lead generation -- search organizations, discover contacts, enrich prospect data, manage contact stages, and build targeted outreach lists -- using natural language through the Composio MCP integration.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Automate Attio CRM operations -- search records, query contacts and companies with advanced filters, manage notes, list attributes, and navigate your relationship data -- using natural language through the Composio MCP integration.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Azure AI Text Translation SDK for real-time text translation, transliteration, language detection, and dictionary lookup. Use for translating text content in applications.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when a manager, dispatcher, or safety director needs to have a coaching conversation with a driver — about a safety event (harsh brake, hard turn, distraction), an HOS violation, a customer complaint, a missed delivery, repeated minor incidents, or to deliver positive recognition. Covers conversation structure, language, documentation, and escalation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert debugger for Next.js + Cloudflare Workers + Supabase stacks. Systematic troubleshooting for auth, caching, workers, RLS, CORS, and build issues. Activate on: 'debug', 'not working', 'error', 'broken', '500', '401', '403', 'cache issue', 'RLS', 'CORS'. NOT for: feature development (use language skills), architecture design (use system-architect).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert DevOps engineer for CI/CD, IaC, Kubernetes, and deployment automation. Activate on: CI/CD, GitHub Actions, Terraform, Docker, Kubernetes, Helm, ArgoCD, GitOps, deployment pipeline, infrastructure as code, container orchestration. NOT for: application code (use language skills), database schema (use data-pipeline-engineer), API design (use api-architect).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generates production-ready design tokens from natural language descriptions. Outputs Tailwind configs, CSS custom properties, and DTCG W3C tokens from 24 trends + 31 AI-ready styles with 2800+ component examples.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Chooses and designs developer surfaces for an agentic product: SDK, CLI, MCP, GUI, API, webhooks, and pd tube-style listener/sender workflows. Use when deciding why a user belongs in an SDK versus CLI/MCP/GUI, planning Python SDK parity, or making agent invocation easy across languages. NOT for implementing the full SDK, generic API docs, or UI visual design.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Matches natural language task descriptions to appropriate skills using semantic similarity, ranks candidates by fit and performance history, and maintains the skill catalog. Use when assigning skills to DAG nodes, searching for the right skill for a task, ranking competing skills, or browsing the skill catalog. Activate on "find skill", "match skill", "which skill", "skill for this task", "skill catalog", "rank skills", "best skill". NOT for executing DAGs (use dag-runtime), creating skills (use skill-architect), or grading skills (use skill-grader).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Matches natural language task descriptions to appropriate skills using semantic similarity. Handles fuzzy matching, intent extraction, and capability alignment. Activate on 'find skill', 'match task', 'semantic search', 'skill lookup', 'what skill for'. NOT for ranking matches (use dag-capability-ranker) or skill catalog (use dag-skill-registry).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

The intelligence layer of Jury-rig. Decomposes natural language tasks into proposed Hierarchical Task DAGs (HTDAGs), matches subtasks to skills, proposes wave and revision contracts, and expands nodes only when evidence supports a revised graph. Use for 'orchestrate', 'execute DAG', 'parallel agents', 'decompose task', 'coordinate skills'. NOT for single-skill tasks or simple linear workflows.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generates comprehensive, context-aware code review checklists tailored to the specific codebase, programming language, and team standards. Analyzes PR diffs and suggests what reviewers should focus on.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Semantic image-text matching with CLIP and alternatives. Use for image search, zero-shot classification, similarity matching. NOT for counting objects, fine-grained classification (celebrities, car models), spatial reasoning, or compositional queries. Activate on "CLIP", "embeddings", "image similarity", "semantic search", "zero-shot classification", "image-text matching".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Design and create a simulation persona for testing an AI agent. Guides through use case selection, voice and language configuration, behavior prompt crafting, and interruption calibration. Use when user says "create a persona", "design a persona", "set up a test persona", "configure simulation persona", or "build a caller profile".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Comprehensive guide for developing WebGPU-enabled Three.js applications using TSL (Three.js Shading Language). Covers WebGPU renderer setup, node materials, compute shaders, post-processing, and WGSL integration. Use when working with Three.js WebGPU, TSL shaders, or GPU compute pipelines.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Explain selected code or a specified file/function in plain language, including what it does, why it exists, and potential pitfalls

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Query a running Convex app's logs + health in natural language (official MCP): failures, slow/expensive functions, deploy causality — scoped, evidence-backed, with a dashboard deep link.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Analyzes bounded context boundaries in DDD projects. Detects cross-context coupling, shared kernel violations, context mapping issues, and ubiquitous language inconsistencies. Generates context map diagrams and boundary recommendations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create comprehensive academic research notes with deep literature coverage. Auto-detects language (EN prompt→EN output, TR prompt→TR output). Supports Obsidian markdown and PDF. Performs 8-15 iterative search cycles with 25-50+ sources for comprehensive coverage. Uses footnote citations and visual overviews.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

SDK installation and setup patterns for Agent-to-Agent Protocol across Python, TypeScript, Java, C#, and Go. Use when implementing A2A protocol, setting up SDKs, configuring authentication, or when user mentions SDK installation, language-specific setup, or A2A integration.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.