building-logseq-plugins
Expert guidance for Logseq plugin development, specifically optimized for the new database architecture, API integration, and property management.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
482 skills found
Expert guidance for Logseq plugin development, specifically optimized for the new database architecture, API integration, and property management.
Git worktree management for isolated parallel development, featuring automatic branch registration and seamless MoAI-ADK workflow integration.
Automated migration workflow from legacy Crowi (Express/Swig) to modern architecture (Next.js 16/Fastify/ts-rest).
Guidance for creating and integrating new ECS components, including class design, JSON serialization, custom editor UI implementation, and DI registration.
Gate 2 development cycle skill that validates observability implementation, including structured logging, OpenTelemetry tracing, and instrumentation coverage, without modifying code.
Visual web workspace for roadmap management, providing interactive kanban boards and graph-based dependency views for task planning and project progress tracking.
A universal skill for automating GitHub Project V2 Kanban boards, supporting status transitions, sprint management, and interactive workflows via CLI.
Home Assistant OS (HAOS) operations skill for agents. Features read-only diagnostics, automation design, health auditing, and safety-first configuration management.
Foundational guidelines for context engineering: optimizing token budgets, attention mechanics, and system architecture for AI agents.
Implement a full Model Context Protocol (MCP) stack in Rails. Connect to external servers, expose your Rails app as an MCP server, or manage subprocess MCP containers via Docker with OAuth 2.1 PKCE support.
Direct access to the Opper REST API for LLM orchestration, model management, task execution, and seamless migration from OpenAI, Anthropic, or OpenRouter.
Skill for managing MCP-based research, documentation lookups, and coordination between external search tools and plugin-backed memory systems.