Discover documentation architecture patterns skills, compare source repositories and read the instructions for each workflow.
Capture solutions as patterns for future use. Activate when you fix a bug, solve a non-trivial problem, get corrected by the user, discover something that works (or doesn't work), find a better approach, or com...
Chain Vibery commands, skills, and agents into repeatable automated workflows. Outputs: Executable workflow files, hook configurations, CI/CD integration. Use when user has repetitive multi-step processes to au...
Generate step-by-step migration guides between tools, frameworks, or workflows. Outputs: Phase-by-phase migration plan, compatibility mapping, rollback strategy. Use when switching tools, upgrading frameworks,...
Transform conversations and ideas into structured technical specifications. Outputs: User stories, acceptance criteria, technical requirements, edge cases. Use when user wants to document requirements before co...
Celery canvas patterns for workflow composition including chains, groups, chords, signatures, error handling, and nested workflows. Use when building complex task workflows, parallel execution patterns, task sy...
Redis pub/sub messaging patterns and implementations. Use when implementing real-time messaging, event-driven architectures, notification systems, or message broadcasting with Redis pub/sub.
Caching patterns, TTL management, eviction policies for Redis implementations. Use when implementing cache-aside, write-through, write-back patterns, TTL management, or cache invalidation strategies.
Message broker setup patterns (Redis, RabbitMQ, SQS) for Celery including connection strings, SSL configuration, high availability, and production best practices. Use when configuring message brokers, setting u...
Task routing and queue management patterns for Celery including priority queues, topic exchanges, worker-specific routing, and advanced queue configurations. Use when configuring task routing, managing queues,...
Result backend configuration patterns for Celery including Redis, Database, and RPC backends with serialization, expiration policies, and performance optimization. Use when configuring result storage, troublesh...
REST API design and implementation patterns for FastAPI endpoints including CRUD operations, pagination, filtering, error handling, and request/response models. Use when building FastAPI endpoints, creating RES...
Four-phase debugging framework that ensures root cause identification before fixes. Use when encountering bugs, test failures, unexpected behavior, or when previous fix attempts failed. Enforces investigate-fir...
Evidence citation and domain scope standards for Neo4j subagents. Prevents hallucination and ensures audit trail.
Goroutine ownership, errgroup patterns, worker pools, and graceful shutdown. Use when writing concurrent code or parallel request handling.
Clean/hexagonal architecture rules, folder structure, interface ownership, and dependency direction. Use when creating new packages, services, or understanding codebase structure.
Project patterns including functional options, must pattern, caching decorator, error handling, configuration, and HTTP clients. Use when implementing common patterns in the codebase.
Orchestration overview for the autonomous bug fixing system. References the component skills (dispatcher, handler) and per-project skills (bug-intake, qa-submission).
基于 cleanddd-requirements-analysis 结果输出 CleanDDD 建模蓝图，并在 only-danmuku 的 iterate/feature 目录交付 *_gen.json 建模元素与 *_update.sql DDL 变更脚本；用于将已拆解需求落为可生成代码的模型与数据库变更清...
在 only-danmuku 的 CleanDDD Kotlin 项目中编写或修改聚合/命令/查询/API 端点/事件/防腐层 Client/仓储/配置/测试时使用；遵循 代码实现规约.md 与 design/_gen + genDesign 的生成流程。
Track complex, multi-session work with dependency graphs using beads issue tracker. Use when work spans multiple sessions, has complex dependencies, or requires persistent context across compaction cycles. For...
Patterns for coordinating multiple AI agents. Use when single-agent context limits are exceeded, tasks decompose naturally, or specialized agents improve quality.
React 19 architectural patterns, component design, and best practices
Designs functional architecture and detailed specifications for PHP/CakePHP applications based on analyzed requirements
Software design patterns for architecture, components, databases, and APIs
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.