OpenDCAI
Official@opendcai
Define the future of Data-centric AI together
Agent Skills by OpenDCAI
Showing 30 vetted skills indexed across 2 GitHub repositories.
OpenDCAIplaywright-cli
Automate browser interactions for web testing, form filling, screenshots, and data extraction.
OpenDCAIsksls
List custom skill groups and their activation status within the AI agent framework.
OpenDCAIskson
Create symbolic links to activate a predefined group of skills.
OpenDCAIsksrm
Remove a specific skill from a group in the .claude directory.
OpenDCAIsksadd
Install AI skills from search results into a specified skill group.
OpenDCAIskssearch
Search the SkillsMP skill library using English keywords.
OpenDCAIsksoff
Deactivates a group of skills by removing their symbolic links.
OpenDCAIsksgnew
Create new skill group directories within the .claude/skill-groups structure.
OpenDCAIsks
Display active skill status and list available commands for an AI agent.
OpenDCAIplaywright-dev
Guide Playwright framework development, including APIs, MCP tools, and CLI commands.
OpenDCAIsksgrm
Delete a skill group and its associated skills from the .claude/skill-groups directory.
OpenDCAIguiding-users
Guide new users with structured tours, tutorials, tooltips, checklists, and help panels.
OpenDCAIimplementing-api-patterns
Design multi-pattern APIs across REST, GraphQL, gRPC, and tRPC.
OpenDCAIevent-store-design
Design event stores with append-only storage and per-stream versioning.
OpenDCAIteam-communication-protocols
Coordinate agent teams with plan approvals and graceful shutdown protocols.
OpenDCAIweb-component-design
Develop reusable cross-framework UI component patterns for React, Vue, and Svelte.
OpenDCAItask-coordination-strategies
Decompose complex tasks into parallelizable units with dependency graphs.
OpenDCAIimplementing-search-filter
Implement end-to-end search and filtering with debounced inputs and dynamic backend queries.
OpenDCAIarchitecture-patterns
Architect backend systems using Clean, Hexagonal, and Domain-Driven Design patterns.
OpenDCAImulti-reviewer-patterns
Coordinate parallel code reviews and consolidate findings into unified reports.
OpenDCAIwtpr
Automate git worktree PR workflows with rebasing and GitHub PR updates.
OpenDCAIteam-composition-patterns
Design multi-agent team compositions with sizing heuristics and preset configurations.
OpenDCAIbench
Benchmark LLM API latency and throughput across streaming endpoints.
OpenDCAIreal-time-features
Enable real-time bidirectional client-server communication with WebSocket, SSE, and Socket.IO fallbacks.
Frequently Asked Questions About OpenDCAI
FAQPage SchemaWhat specific tasks can engineers perform using these patterns?▼
Engineers can implement complex backend architectures using Hexagonal or Domain-Driven Design, build scalable design systems with Tailwind tokens, and manage real-time data synchronization via WebSockets and CRDTs. These patterns facilitate consistent interface development and robust event-store management across distributed environments.
Which technical personas benefit most from these architectural patterns?▼
Full-stack engineers, frontend architects, and backend system designers benefit from these standardized patterns. The library is specifically designed for teams requiring consistent UI component development, structured task decomposition, and reliable real-time communication protocols within complex enterprise environments.
What are the prerequisites for implementing these design patterns?▼
Implementation requires familiarity with TypeScript, React, and modern backend architectural principles like Clean or Hexagonal design. Users should have an existing project structure capable of supporting modular component libraries and event-driven backend services to effectively integrate these patterns.