Bidirectional conversion between SpecWeave increments and Azure DevOps work items. Use when exporting increments to ADO epics, importing ADO epics as increments, or resolving sync conflicts. Handles Epic/Feature/User Story/Task hierarchy mapping.
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Bidirectional conversion between SpecWeave increments and Azure DevOps work items. Use when exporting increments to ADO epics, importing ADO epics as increments, or resolving sync conflicts. Handles Epic/Feature/User Story/Task hierarchy mapping.
Organize specs and tasks across multiple Azure DevOps projects with intelligent content-based mapping. Use when working with project-per-team, area-path-based, or team-based ADO architectures. Handles cross-project coordination and folder structure organization.
Validates Azure DevOps projects, area paths, and teams exist with auto-creation of missing resources. Use when setting up ADO integration, configuring .env variables, or troubleshooting missing project errors. Supports project-per-team, area-path-based, and team-based strategies.
Help and guidance for Azure DevOps synchronization with SpecWeave increments. Use when asking how to set up ADO sync, configure credentials, or troubleshoot integration issues. For actual syncing, use /sw-ado:sync command.
Windows and Git Bash compatibility guidance for Azure Pipelines. Covers path conversion issues, shell detection in pipeline scripts, MINGW/MSYS path handling, Windows agent configuration, cross-platform script patterns, and troubleshooting common Windows-specific pipeline failures.
'Expert guidance for Adobe Express add-on development using Document APIs, Add-on UI SDK, and Document Sandbox. Use when building Adobe Express extensions, creating add-ons, working with express-document-sdk, implementing document manipulation, designing add-on UIs with Spectrum Web Components, troubleshooting iframe/sandbox communication, or accessing Adobe Express documentation and API references via MCP server.'
Access Adobe Creative Cloud APIs - Photoshop, Lightroom, PDF Services, and Firefly AI. Automate creative workflows.
Manage enterprise e-signatures with Adobe Sign's document signing solution.
Structured guide for designing and executing customer adoption programs.
Use when documenting significant technical or architectural decisions that need context, rationale, and consequences recorded. Invoke when choosing between technology options, making infrastructure decisions, establishing standards, migrating systems, or when team needs to understand why a decision was made. Use when user mentions ADR, architecture decision, technical decision record, or decision documentation.
Helps create, analyze, and maintain Architecture Decision Records
description: Automatically load and apply relevant ADRs when creating or modifying resources
Validate code changes against Architecture Decision Records (ADRs)
Add ADR references to code for traceability. TRIGGERS - ADR traceability, code reference, document decision in code.
Generate Architecture Decision Records following the project template and numbering convention. Use when documenting architecture decisions, technical choices, or when the user asks to create an ADR.
Create Architecture Decision Records (ADRs) that document significant technical decisions for the Fantasy Football Analytics project following the established ADR format and workflow.
Specialized skill for generating and managing Architecture Decision Records (ADRs). Supports Nygard, MADR, and custom templates with auto-numbering, linking, and status management.
ASCII architecture diagrams for ADRs via graph-easy. TRIGGERS - ADR diagram, architecture diagram, ASCII diagram.
Document architecture decisions with ADR (Architecture Decision Records). Use when making significant technical decisions, choosing between alternatives, or when onboarding needs context on past decisions.
Create and manage Architecture Decision Records (ADRs). Use when documenting technology choices, design decisions, or architectural changes that need to be tracked over time. This is the CANONICAL ADR skill - all ADR-related work should use this skill.
Structured frameworks for documenting architectural decisions with human-in-the-loop AI assistance.
Multi-agent debate orchestration for Architecture Decision Records. Automatically triggers on ADR create/edit/delete. Coordinates architect, critic, independent-thinker, security, analyst, and high-level-advisor agents in structured debate rounds until consensus.
Generate phased implementation roadmaps from Architecture Decision Records
Specializes in generating Action-Domain-Responder (ADR) boilerplate for Gravito projects. Trigger this when adding new features or modules using the ADR pattern.
Create Architecture Decision Records through interactive conversation. Use when making technology choices, architecture patterns, or third-party service selections.
Documenting significant architectural decisions with context, consequences, and rationale for future reference.
Document architecture decisions with clear context, alternatives, and consequences.
Manage Architecture Decision Records (ADRs) throughout their lifecycle: read existing decisions, write new ones, and ensure development aligns with documented decisions.
AI-агент для управления Facebook рекламой. Вызывай для анализа, оптимизации, создания кампаний и отчётов.
Activate for paid advertising campaigns on Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads. Includes ad copywriting, audience targeting, budget optimization, A/B testing, and ROAS tracking. Used by ads-specialist and campaign-manager agents.
Эксперт по оптимизации Facebook Ads. Используй для анализа метрик, Health Score, ad-eater detection и рекомендаций по бюджетам.
Эксперт по отчетности Facebook Ads. Используй для формирования дневных/недельных отчетов, сравнения периодов и анализа трендов.
Claim and work on beads safely with proper coordination. Use when starting work, finishing work, or finding the next task. Covers the full bead lifecycle: discover → verify → claim → work → close.
Advanced AgentDB Vector Search Implementation operates on 3 fundamental principles:
Advanced analytics including machine learning, predictive modeling, and big data techniques
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Apply Clean Architecture and Hexagonal (Ports & Adapters) patterns for domain isolation and testability. Use when designing system boundaries, creating ports/adapters, or structuring domain-driven applications.
Advanced debugging skill for MyJKKN project. Specialized workflows for debugging Next.js 15, Supabase, React Query, TypeScript, and service layer issues. Includes automated analysis tools, common error patterns, and step-by-step troubleshooting guides for reducing debugging time. Use when investigating bugs, errors, performance issues, or unexpected behavior. (project)
Build deterministic IoC containers with proper lifecycle management, scoping, and disposal patterns. Use when implementing DI containers, managing service lifetimes, or designing runtime systems.
Model dependencies using Effect-style Context, Layer, and Service patterns with compile-time safety. Use when designing DI systems, modeling environments, or building Effect-TS applications.
Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
Advanced example showing all available metadata fields and complex folder structure
advanced-features-2025
Implement advanced task features - Priorities, Tags, Due Dates, Reminders, Recurring Tasks, Search, Filter, and Sort. Use when adding Phase 5 advanced functionality. (project)
Advanced file management tools. Includes batch folder creation, batch file moving, file listing, and HTML author extraction.
Advanced GetX features including Workers, GetxService, SmartManagement, GetConnect, GetSocket, bindings composition, and testing patterns
Advanced Git - interactive rebase, cherry-pick, bisect, reflog, and power user operations
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Custom Resource Definitions (CRDs) extend Kubernetes API with custom
Probability, moments/tails, Bayes, and statistical learning foundations for systematic trading.