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概要と使いどころ
Provides patterns to configure Spring Boot Actuator for production-grade monitoring, health probes, secured management endpoints, and Micrometer metrics across JVM services. Use when setting up monitoring, health checks, or metrics for Spring Boot applications.
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Provides fault tolerance patterns for Spring Boot 3.x using Resilience4j. Use when implementing circuit breakers, handling service failures, adding retry logic with exponential backoff, configuring rate limiters, or protecting services from cascading failures. Generates circuit breaker, retry, rate limiter, bulkhead, time limiter, and fallback implementations. Validates resilience configurations through Actuator endpoints.
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。
Provides patterns to generate comprehensive REST API documentation using SpringDoc OpenAPI 3.0 and Swagger UI in Spring Boot 3.x applications. Use when setting up API documentation, configuring Swagger UI, adding OpenAPI annotations, implementing security documentation, or enhancing REST endpoints with examples and schemas.
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。
Provision a disposable Jurassic Ninja store for the Maestro smoke suite, connect Jetpack to the developer's own WordPress.com test account, create WooCommerce API keys, and write .maestro/.env.local. Use when Maestro setup is missing, when .env.local points at an expired store, or when a clean store is wanted.
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 you have a pre-registered analysis plan to execute inline in this session with review checkpoints, on a platform without subagents
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。
Databricks CLI operations and the parent/entry-point skill for Databricks CLI use: authentication, profile selection, and bundles. Load this first for CLI, auth, profile, and bundle tasks, then load the matching product skill. For finding or exploring data, answering questions about the data, or generating SQL, load the databricks-data-discovery skill (it routes to Genie One). Contains up-to-date guidelines for Databricks-related CLI tasks.
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 Databricks built-in AI Functions (ai_classify, ai_extract, ai_summarize, ai_mask, ai_translate, ai_fix_grammar, ai_gen, ai_analyze_sentiment, ai_similarity, ai_parse_document, ai_prep_search, ai_query, ai_forecast) to add AI capabilities directly to SQL and PySpark pipelines without managing model endpoints. Also covers document parsing and building custom RAG pipelines (parse → prep_search → index → query).
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。
Databricks Vector Search endpoints and indexes for RAG and semantic search; covers index types, search modes, end-to-end RAG patterns
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。
Comprehensive guide to Spark Structured Streaming for production workloads. Use when building streaming pipelines, working with Kafka ingestion, implementing Real-Time Mode (RTM), configuring triggers (processingTime, availableNow), handling stateful operations with watermarks, optimizing checkpoints, performing stream-stream or stream-static joins, writing to multiple sinks, or tuning streaming cost and performance.
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 existing source code as the specification when the user can't describe what they want in words. Use when the user points at a library, module, folder, or site and says "like this," even if it's in a different language or stack.
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。
PowerPoint generation for construction: project updates, stakeholder presentations, progress reports, bid presentations. Automated slide creation with charts and data.
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。
Analyze data interoperability issues in construction projects. Identify format incompatibilities and data loss points.
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。
Connect OpenConstructionERP to AI coding assistants via MCP (Model Context Protocol): expose costs, BOQ, BIM and catalog endpoints as MCP tools so Claude Code / Antigravity / OpenCode can drive the platform. Use when wiring an assistant to the ERP.
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。
Process drone survey data for construction sites. Generate orthomosaics, DEMs, point clouds, calculate volumes, track progress, and integrate with BIM models for comparison.
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。
Orchestrate multiple AI agents for construction workflows: estimator, scheduler, document, QA and safety agents coordinated by a supervisor agent, with human checkpoints. Use when automating end-to-end project processes with agentic AI.
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。
Guide to OpenConstructionERP: architecture, modules, API surface and quick start. Use when starting any OpenConstructionERP work, onboarding a user to the platform, or deciding which module/endpoint to use.
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 structured podcast episodes. Segment timing, debate points, hot takes, listener questions, ad break placement.
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。
Takes a manual business workflow description and designs the automated version. Maps current steps, handoffs, decision points, and bottlenecks. Designs automated flow with triggers, conditions, actions, and error handling. Outputs workflow-automation.md with before/after Mermaid diagrams, tool recommendations, implementation steps, and time savings estimate.
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 and edits PowerPoint decks bound to a company's own .pptx or .potx template, with a consulting-grade storyline and a rendered visual QA pass. Maps the template's masters, layouts, placeholders, theme colors and fonts; drafts a storyboard of action titles (pyramid principle, SCR) for approval; fills the template's own placeholders instead of drawing text boxes; adds native charts in theme colors, tables sized to placeholders, speaker notes and source lines; then renders every slide to PNG and checks text overflow, off-slide and overlapping shapes, off-theme fonts and colors, empty placeholders and weak titles. Use whenever the user says use our template, company deck, brand or corporate template, make slides, build a deck, pptx, potx, consulting-style deck, board or client presentation, action titles, or fix my deck formatting, and whenever an existing deck must be edited without breaking its masters. Complements the generic pptx skill.
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 pricing strategies for products and services. Takes product/service, costs, target market, competitors. Analyzes cost-plus, value-based, competitor-based, penetration, premium models. Researches competitor pricing. Generates pricing-strategy.md with recommended model, price points, tier structure, discount policies, annual vs monthly analysis, sensitivity to churn, expansion revenue modeling.
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。
Run a go-to-market war room for a launch, repositioning, price change, or new product. Convenes opposing expert and customer-persona viewpoints to debate the plan, surfaces the risks that kill launches, and returns a go/no-go call plus a phased rollout plan with owners, sequencing, and kill criteria. Use before any launch you can't easily walk back.
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。
Turn sales history and current stock counts into reorder points, order quantities, and a this-week purchase list -- so a product business stops stocking out of winners and stops burying cash in losers. Handles seasonality, supplier lead times, and the dead-stock cleanup.
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 job posts that make the right person apply -- real role clarity, honest selling points, salary range handling, and requirements pruned to what actually predicts success. Small businesses lose great candidates to bad posts long before the interview. Feeds cowork-hiring-screener and hiring-scorecard downstream.
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 a custom lead scoring model for a business. Takes ICP definition, historical win/loss data, CRM export. Analyzes which attributes correlate with closed-won deals. Generates lead-scoring-model.md with scoring dimensions, point values, thresholds, CRM implementation guide, and validation methodology. Can also score a batch of current leads against the model.
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。