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cccskills

'factory' 검색 결과

294건 · 관련도순

Load, configure, run, observe, and stop custom congestion control algorithms on BlueField using doca_spcx_cc. The skill guides comparisons with doca-pcc, evaluation under controlled network contention, and diagnosis of loading errors or unchanged traffic behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Choosing between SPCX and doca-pcc
  • Evaluating an algorithm on a non-production network
  • Investigating unchanged throughput or latency
NVIDIA/skills3.7천2026년 10월 21일 업데이트

Build and troubleshoot a GPU-powered service that checks factory videos for missing or out-of-order procedure steps. Guides video segmentation, action classification with a vision-language model, deployment, evaluation, and latency measurement for files and live cameras.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Building a service to check assembly-line procedure compliance
  • Testing video files, RTSP streams, and Basler cameras
  • Investigating action classification and step-order errors
NVIDIA/skills3.7천2026년 10월 21일 업데이트

pipeline-migration

Microsoft 공식무료

Migrates Synapse Data Factory pipelines to Fabric Data Factory, turning linked services into Fabric connections, inlining datasets into activities, converting global parameters to Variable Libraries, and mapping SynapseNotebook to TridentNotebook. Use for pipeline JSON. For Synapse Spark notebook code use synapse-migration.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

microsoft/skills-for-fabric1.3천2026년 10월 5일 업데이트

Claude Code agent generation system that creates custom agents and sub-agents with enhanced YAML frontmatter, tool access patterns, and MCP integration support following proven production patterns

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

alirezarezvani/claude-code-skill-factory8912025년 11월 13일 업데이트

Generate production-ready Claude Code hooks with interactive Q&A, automated installation, and enhanced validation. Supports 10 templates across 7 event types for comprehensive workflow automation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

alirezarezvani/claude-code-skill-factory8912025년 11월 13일 업데이트

Generate custom Claude Code slash commands through intelligent 5-7 question flow. Creates powerful commands for business research, content analysis, healthcare compliance, API integration, documentation automation, and workflow optimization. Outputs organized commands to generated-commands/ with validation and installation guidance.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

alirezarezvani/claude-code-skill-factory8912025년 11월 13일 업데이트

World-class prompt powerhouse that generates production-ready mega-prompts for any role, industry, and task through intelligent 7-question flow, 69 comprehensive presets across 15 professional domains (technical, business, creative, legal, finance, HR, design, customer, executive, manufacturing, R&D, regulatory, specialized-technical, research, creative-media), multiple output formats (XML/Claude/ChatGPT/Gemini), quality validation gates, and contextual best practices from OpenAI/Anthropic/Google. Supports both core and advanced modes with testing scenarios and prompt variations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

alirezarezvani/claude-code-skill-factory8912025년 11월 13일 업데이트

Analyze session work and automatically convert reusable patterns into Claude Code skills. Use when: "세션을 스킬로", "스킬 만들어", "이거 스킬로", "skill factory", "이 작업 자동화해", "스킬 추출", "make this a skill", "extract skill", "convert to skill", "스킬 팩토리", "자동 스킬 생성". Differs from skill-creator (archived) and manage-skills (drift detection): this skill actively analyzes sessions, checks for duplicates, and creates skills via Agent Teams.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

sangrokjung/claude-forge8622026년 9월 3일 업데이트

Expert knowledge for Azure SQL Managed Instance development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when planning MI tiers/networking, configuring HA/geo-replication, Entra/TDE security, or app connectivity patterns, and other Azure SQL Managed Instance related development tasks. Not for Azure SQL Database (use azure-sql-database), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines), Azure Cosmos DB (use azure-cosmos-db), Azure Data Factory (use azure-data-factory).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

MicrosoftDocs/Agent-Skills7902026년 10월 19일 업데이트

Expert knowledge for Azure Synapse Analytics development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Synapse SQL pools, Spark pools, Delta Lake, Synapse Link (Cosmos/SQL), or ELT via PolyBase, and other Azure Synapse Analytics related development tasks. Not for Azure Data Factory (use azure-data-factory), Azure Data Explorer (use azure-data-explorer), Azure Databricks (use azure-databricks), Azure Stream Analytics (use azure-stream-analytics).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

MicrosoftDocs/Agent-Skills7902026년 10월 19일 업데이트

Expert knowledge for Azure Logic Apps development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Logic Apps with AI/OpenAI, SAP/B2B, private endpoints, DevOps deployments, or DR/multi-region designs, and other Azure Logic Apps related development tasks. Not for Azure Functions (use azure-functions), Azure App Service (use azure-app-service), Azure Service Bus (use azure-service-bus), Azure Data Factory (use azure-data-factory).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

MicrosoftDocs/Agent-Skills7902026년 10월 19일 업데이트

Expert knowledge for Azure Data Manager for Agriculture development including limits & quotas, security, configuration, and integrations & coding patterns. Use when setting up BYOL creds/Private Link, ag data ingestion/IoT, AI/nutrient APIs, throttling, or Event Grid logs, and other Azure Data Manager for Agriculture related development tasks. Not for Azure Data Explorer (use azure-data-explorer), Azure Data Factory (use azure-data-factory), Azure Synapse Analytics (use azure-synapse-analytics), Azure Databricks (use azure-databricks).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

MicrosoftDocs/Agent-Skills7902026년 10월 19일 업데이트

Expert knowledge for Azure Databricks development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Unity Catalog, Lakehouse/Lakeflow pipelines, AI Runtime/MLflow, model serving, or agents on Databricks, and other Azure Databricks related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure HDInsight (use azure-hdinsight), Azure Machine Learning (use azure-machine-learning), Azure Data Factory (use azure-data-factory).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

MicrosoftDocs/Agent-Skills7902026년 10월 19일 업데이트

Expert knowledge for Azure Energy Data Services development including troubleshooting, decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment. Use when configuring ADME metrics/CORS, choosing tiers, using DDMS/RAFS/Seismic APIs, securing legal tags/ACLs, or deploying GCZ on AKS, and other Azure Energy Data Services related development tasks. Not for Azure Data Explorer (use azure-data-explorer), Azure Synapse Analytics (use azure-synapse-analytics), Azure Data Factory (use azure-data-factory), Azure Databricks (use azure-databricks).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

MicrosoftDocs/Agent-Skills7902026년 10월 19일 업데이트

Expert knowledge for Azure Data Share development including troubleshooting, decision making, security, configuration, and deployment. Use when estimating Data Share costs, securing invitations, fixing share errors, configuring datasets, or deploying across regions, and other Azure Data Share related development tasks. Not for Azure Data Box (use azure-data-box-family), Azure Data Explorer (use azure-data-explorer), Azure Data Factory (use azure-data-factory), Azure Open Datasets (use azure-open-datasets).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

MicrosoftDocs/Agent-Skills7902026년 10월 19일 업데이트

Expert knowledge for Azure Business Process Tracking development including deployment. Use when creating CI/CD pipelines, automating builds, running tests, and deploying tracking solutions via DevOps tools, and other Azure Business Process Tracking related development tasks. Not for Azure Monitor (use azure-monitor), Azure Logic Apps (use azure-logic-apps), Azure Data Factory (use azure-data-factory), Azure Machine Learning (use azure-machine-learning).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

MicrosoftDocs/Agent-Skills7902026년 10월 19일 업데이트

Use when the user wants to run a full ad-campaign pipeline on top of Higgsfield Marketing Studio — 'create a campaign', 'build a content plan', 'run the content pipeline', 'generate 100 UGC videos', 'plan and schedule a launch', 'make a batch of ads from my product', or 'how much did this save vs traditional production'. Covers the 5-stage orchestration (Research → Plan → Generate → Publish → Report), the UGC-first 5-format campaign mix (UGC Entertainment, Street Interview, Unboxing, Product Review, ASMR), the even-split allocation math, button-driven onboarding, the per-batch generation gate, and the publish + cost-report tail (satellite). Defers all Marketing Studio API ground-truth (presets, params, hooks, avatars) to higgsfield-marketing-studio.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

OSideMedia/higgsfield-ai-prompt-skill7702026년 9월 27일 업데이트

Common design patterns with Java examples (Factory, Builder, Strategy, Observer, Decorator, etc.). Use when user asks "implement pattern", "use factory", "strategy pattern", or when designing extensible components.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

decebals/claude-code-java7592026년 9월 7일 업데이트

Configure protocol-based DI with property wrappers and Factory/Swinject. Use when setting up dependency injection or factory patterns in iOS.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

HoangNguyen0403/agent-skills-standard5792026년 10월 18일 업데이트

Claim and implement one ready GitHub issue, run fail-closed gates, obtain independent verification, and open a draft pull request.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

addyosmani/factory2762026년 8월 22일 업데이트

Claim one live GitHub queue item, implement it end to end, run fail-closed gates and independent verification, then open a draft PR. Use for one ready-to-implement issue or the implementation routine.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

addyosmani/factory2762026년 8월 22일 업데이트

Turn a ready-to-spec queue item into an approved plan through explicit human gates. Use when an item needs scope decided before code exists, when planning a feature, or before starting a migration. Runs interactively - not for unattended routines.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

addyosmani/factory2762026년 8월 22일 업데이트

suede-aso

무료

Suede-owned app-store optimization discipline for keyword fields, titles, subtitles, descriptions, screenshots, ratings context, and competitor listing audits. Use when improving App Store or Google Play visibility or listing conversion from a live app URL and current console evidence, or when authoring keyword, name, subtitle, and promo fields for an app that has not shipped yet. NOT FOR: building or releasing the app (use android-app-factory or site-to-ios-app; native iOS builds are a private Suede Labs companion, not in this pack: ios-app-factory), creating paid ad assets (use suede-ad-creative), or install-event instrumentation (use suede-analytics).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

JasonColapietro/suede-creator-skills1282026년 10월 20일 업데이트

Search and analyze products on the Chinese 1688 wholesale platform (Alibaba domestic B2B market) for sourcing, supplier discovery, and product selection. Trigger when the user mentions 1688 product search, finding suppliers on 1688, wholesale product queries, factory sourcing, dropshipping supplier search, 1688 keyword product selection, wholesale price comparison, filtering by sales volume, any product research on the 1688 platform, 1688 search, 1688 product selection, find suppliers, factory lookup, wholesale pricing, supplier search, domestic sourcing, 1688 products. Even if the user does not explicitly say "1688", if their need involves searching for wholesale products, finding domestic suppliers, or sourcing from the domestic Chinese market, this skill should also be triggered.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

nexscope-ai/nexscope-ecommerce-skills962026년 10월 15일 업데이트