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.
157 skills found
Expert guidance for Logseq plugin development, specifically optimized for the new database architecture, API integration, and property management.
Expert guidance for Shopify app development, including CLI setup, Remix framework architecture, OAuth flows, app extensions, and production deployment on platforms like Cloudflare Workers.
Expert for XRK-AGT runtime core, bot main class, event bus, server startup (HTTP/WS), and global object management.
Mandatory execution-based validation for all software implementation tasks. Ensures code works through empirical verification before confirmation.
Optimize developer experience for multi-component solutions: standardize onboarding, inner-loop, debugging, and cross-platform setup to eliminate friction and tribal knowledge.
Proactive context window management for AI agents via intelligent token monitoring, snapshot creation, and selective state rehydration to maintain continuity during long sessions.
Remotely control tmux sessions for interactive CLIs by sending automated keystrokes and scraping pane output.
Self-maintaining skill for OpenCode agents to update documentation, capture learnings, and extend tool/agent capabilities dynamically.
Develop, test, sign, and publish governance plugins for Memoria using Rhai or gRPC runtimes. Manage the full plugin lifecycle from scaffolding to activation.
Gate 2 development cycle skill that validates observability implementation, including structured logging, OpenTelemetry tracing, and instrumentation coverage, without modifying code.
Build and manage MCP servers using the FastMCP framework. Guide for creating tools, resources, prompts, Claude Desktop integration, and deployment with Python and TypeScript.
Structured, template-driven workflow for end-to-end feature development including coding, automated testing, verification, and session-based improvement.