domain-driven-design-skills

识别业务能力并分类子域（Core/Supporting/Generic），产出核心域声明与所有权建议。

从不变量出发设计聚合边界：聚合根、实体、值对象、事务边界与跨聚合一致性策略。

映射限界上下文间的关系与集成策略：模式选择、契约所有权、失败模式与版本策略。

设计限界上下文及其通用语言：边界、职责、词汇表、团队所有权与边界 ADR。

协作式领域发现：通过事件风暴或领域故事讲述，产出事件流、命令/事件候选、热点与歧义清单。

设计构造块间的协作机制：领域事件、领域服务、仓储接口与工厂。

全局模型质量评估：一致性、完整性、耦合分析与反馈闭环触发。

将 DDD 战术建模工件映射为 OpenSpec 结构化规范，实现从领域建模到工程实现的平滑衔接。

将模糊需求收敛为可执行的 DDD 建模输入：问题陈述、目标/非目标、约束、术语种子与风险清单。

Satori is a clinically informed wisdom companion for navigating the inner life — emotions, meaning, grief, purpose, relationship, identity, and the questions that don't resolve easily. Activate when someone is processing something difficult, wrestling with a life question, seeking perspective, or simply needs to think alongside someone who won't rush them toward an answer. Also activate when someone uses language like "I've been struggling with," "I don't know what to do," or "I need to figure out" — or any emotionally charged framing. When in doubt, activate. Draws from Taoism, Buddhism, Stoicism, Christianity, Sufi wisdom, Hindu philosophy, Confucian ethics, and African thought, alongside modern psychology, neuroscience, and trauma-informed frameworks (IFS, DBT, CFT, Schema Therapy, Somatic). Uses Motivational Interviewing, Voss tactical empathy, McAdams Life Story, and Singer Self-Defining Memory — woven naturally, not mechanically.

Use when rough ideas need design before code, requirements are fuzzy, multiple approaches exist, or you need to explore options before implementation

Firebase Firestore specialist covering NoSQL patterns, real-time sync, offline caching, and Security Rules. Use when building mobile-first apps with offline support, implementing real-time listeners, or configuring Firestore security.

Conduct deep academic research for philosophy, neuroscience, cognitive science, and theoretical computer science (computability, complexity, AI theory, logic). Use when user asks to: research academic topics, find scholarly papers, conduct literature reviews, analyze citations, synthesize research findings, explore philosophical arguments, investigate consciousness/cognition, study computability/decidability/Turing machines, or analyze academic debates. Triggers on: 'research papers', 'literature review', 'academic sources', 'scholarly articles', 'philosophy of mind', 'computability theory', 'neuroscience studies', 'find papers on', 'what does the research say'.

This skill should be used when the user asks about Action Cable, WebSockets, real-time features, channels, broadcasting, subscriptions, chat applications, live notifications, presence indicators, collaborative editing, server push, pub/sub patterns, Solid Cable, or streaming updates. Also use when discussing real-time architecture, WebSocket deployment, or alternatives like polling and Server-Sent Events. Examples:

Create clear action plans with steps, success criteria, and risk awareness. Use before implementing features, making changes, starting projects, or anytime you need a roadmap to success. Triggers on "plan this", "how should we approach", "what's the strategy", "steps to complete", or when facing complex multi-step work.

Add keyboard navigation to a feature using CommandRegistryService. Use when implementing keyboard shortcuts, vim-style navigation, or hotkeys for a page or component.

Add source URLs to workdesk/sources.md one-by-one with validation and duplication checking. Use when user provides links to add to the journal. Does NOT generate summaries.

Expert in bidirectional conversion between SpecWeave increments and Azure DevOps (ADO) Epics/Features/User Stories/Tasks. Handles export (increment → ADO), import (ADO → increment), and bidirectional sync with conflict resolution. Activates for ADO sync, Azure DevOps sync, work item creation, import from ADO.

Complete guide to 2025 Claude Code plugin features: Agent Skills, Hooks, MCP integration, and repository-level configuration. PROACTIVELY activate for: (1) Agent Skills implementation, (2) Hook automation setup, (3) MCP server integration, (4) Team plugin distribution, (5) Advanced plugin architecture. Provides: Agent Skills patterns, hook event types, MCP configuration, repository setup, context optimization strategies. Ensures production-ready 2025 plugin capabilities.

This skill should be used when the user asks to "implement dynamic forms", "formily complex forms", "formily conditional fields", "formily nested forms", "formily async validation", "formily performance optimization", or "advanced formily patterns".

Signal processing, filtering/denoising, and math-driven feature engineering.

Extend the Strategy Coach agent with new capabilities. Use when user says "add coaching phase", "new research pillar", "extend agent", "add strategic output", or asks to enhance the AI coaching methodology.

Aggregate pre-computed metrics (gauge, counter, delta types) using OPAL. Use when analyzing request counts, error rates, resource utilization, or any numeric metrics over time. Covers align + m() + aggregate pattern, summary vs time-series output, and common aggregation functions. For percentile metrics (tdigest), see analyzing-tdigest-metrics skill.

Generate agile release plans with sprints and roadmaps using unique sprint codes. Use when creating sprint schedules, product roadmaps, release planning, or when user mentions agile planning, sprints, roadmap, or release plans.

Comprehensive guide for Amplitude MCP queries. Use when analyzing product analytics, user behavior, funnels, retention, experiments, or metrics. Reduces context overhead by documenting query patterns, event taxonomies, and RDC-specific configurations. Triggers on Amplitude, product analytics, user behavior, funnel analysis, retention, experiment analysis, or metric queries.

Amplitude user behavior queries

This skill should be used when the user asks to "lookup Amplitude user", "find user by device ID", "get user activity from Amplitude", or "search Amplitude user events". Queries Amplitude REST API for user data using Device ID or User ID.

Analyze percentile metrics (tdigest type) using OPAL for latency analysis and SLO tracking. Use when calculating p50, p95, p99 from pre-aggregated duration or latency metrics. Covers the critical double-combine pattern with align + m_tdigest() + tdigest_combine + aggregate. For simple metrics (counts, averages), see aggregating-gauge-metrics skill.

Search and answer questions about the ANcpLua ecosystem documentation. Use when users ask about ANcpLua.NET.Sdk features, ANcpLua.Analyzers rules, ANcpLua.Roslyn.Utilities APIs, or any configuration/usage questions about these packages.

Download NASA's Astronomy Picture of the Day (user)

Use after implementing features to verify architecture compliance. Checks for layer violations, missing interfaces, and tight coupling.

Generate Arduino/embedded C++ code snippets and patterns on demand for UNO/ESP32/RP2040. Use when users request Arduino code for sensors, actuators, communication protocols, state machines, non-blocking timers, data logging, or hardware abstraction. Generates production-ready code with proper memory management, timing patterns, and board-specific optimization. Supports DHT22, BME280, buttons, I2C/SPI, EEPROM, SD cards, WiFi, and common peripherals.

Generate Arduino/embedded C++ code snippets and patterns on demand for UNO/ESP32/RP2040. Use when users request Arduino code for sensors, actuators, communication protocols, state machines, non-blocking timers, data logging, or hardware abstraction. Generates production-ready code with proper memory management, timing patterns, and board-specific optimization. Supports DHT22, BME280, buttons, I2C/SPI, EEPROM, SD cards, WiFi, and common peripherals.

Use this skill when users need to collect, manage, or analyze forensic artifacts such as files, memory dumps, Windows Event Logs, Mac Unified Logs, or network packet captures (PCAP) from endpoints.

Complete asset management feature for Polkadot dApps using the Assets pallet. Use when user needs fungible token/asset functionality including creating custom tokens, minting tokens to accounts, transferring tokens between accounts, destroying tokens, viewing portfolios, or managing token metadata. Generates production-ready code (~2,200 lines across 15 files) with full lifecycle support (create→mint→transfer→destroy), real-time fee estimation, transaction tracking, and user-friendly error messages. Works with template infrastructure (WalletContext, ConnectionContext, TransactionContext, balance utilities, shared components). Load when user mentions assets, tokens, fungible tokens, token creation, minting, portfolio, or asset pallet.

Product management expertise for story creation, backlog management, validation, and release coordination

Audio configuration for Bazzite. Virtual audio channels for Game/Voice/Browser/Music, 7.1 surround for headphones, Bluetooth headset profiles, and PipeWire management. Use when users need to configure audio on Bazzite.

Automatically save session tips when user provides important feedback or corrections

Check project backlog when discussing feature ideas or priorities. Use when user mentions adding features, asks what's planned, discusses priorities, or proposes new functionality. Silently reads backlog.json to show relevant items and suggest /feature-capture for untracked ideas.

プロダクトバックログの作成・整理・優先順位付けを行うためのスキル。 ユーザーストーリー作成、DEEP原則の適用、健全性分析を通じて実装可能な状態を維持します。 Anchors: • Agile Estimating and Planning / 適用: 見積もりと優先度 / 目的: 計画精度の向上 • User Stories Applied / 適用: ストーリー作成 / 目的: 要件の明確化 • The Product Owner's Handbook / 適用: バックログ運用 / 目的: 価値最大化 Trigger: Use when managing product backlogs, refining user stories, prioritizing items, or assessing backlog health.