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.
533 skills found
Expert guidance for Logseq plugin development, specifically optimized for the new database architecture, API integration, and property management.
A meta-skill for building robust AI agent skills using a TDD approach: define failure (RED), implement the skill (GREEN), and plug rationalization loopholes (REFACTOR).
Enforces code quality by dispatching a dedicated subagent to review work against project plans, requirements, and git commit history before tasks are completed or merged.
Physical hardware synthesis bridge for PAI. Generates blueprints, 3D printing code, SVG paths for laser cutting, and G-Code for CNC machining to bring agentic designs into the physical world.
Manage, search, and extract technical insights from a local paper database. Ideal for developers implementing academic research, verifying code against math, and grounding coding agents in scientific papers.
Self-modify your Milady agent by managing plugins. Edit code, rebuild, and restart the runtime to develop new capabilities or improve agent workflows locally.
A framework for creating reusable Claude Code agent skills, following best practices for directory structure, progressive disclosure, and multi-file patterns.
Build distinctive, production-grade frontend interfaces and web components with high aesthetic quality, avoiding generic AI design patterns.
Autonomous improvement loop for codebase optimization. Automatically modifies, measures, and iterates on code based on a specific goal and mechanical metric.
A decision-support tool for Claude Code users to select the optimal extension mechanism—slash commands, skills, subagents, or hooks—based on project requirements.
Convert Figma designs to project-consistent UI code using TemPad Dev MCP for precise markup, styling, and token integration.
Architectural guidance and pattern implementation for Java Spring Boot backends, covering REST API design, JPA, caching, async processing, and logging.