Skill UI

This skill guides the comprehensive packaging and deployment of applications built with Makepad. It covers building for multiple target platforms, including desktop (Windows, macOS, Linux), mobile (Android, iOS), and WebAssembly. Use this guide when setting up CI/CD pipelines, generating distributable installers (.deb, .dmg, .apk, .ipa), or automating release artifacts using tools like cargo-packager and cargo-makepad.

This skill outlines a comprehensive methodology for designing, building, and deploying robust LLM-powered applications. It covers assessing task-model fit, designing modular pipelines (acquire -> prepare -> process -> parse -> render), and managing state using file systems to ensure scalability and reliability in AI systems.

Coordinates complex features via a humanplane-inspired RFC pipeline, breaking work into DAG-based agents with quality gates, merge queues, and unit orchestration to keep large jobs verifiable.

Provides a static code analysis capability that inspects source files without running them, helping developers catch issues early in the build pipeline.

Master the complete animation pipeline within Three.js. This resource covers everything from creating custom keyframe tracks (position, quaternion, color) to managing complex animations using AnimationMixer and AnimationAction. Learn about procedural motion, animation blending (crossfading), morph targets, and loading skeletal animations from GLTF files for realistic 3D experiences.

A robust, production-grade REST API gateway designed to wrap ComfyUI servers. It provides comprehensive features including workflow templating, job queuing (with priorities), webhooks, result caching, authentication, and rate limiting. It transforms ComfyUI into a universal, scalable, and secure service for automated image generation pipelines.

A comprehensive guide and template for deploying applications from idea to production. It covers modern DevOps practices, including containerization with Docker, robust CI/CD workflows using GitHub Actions, and infrastructure management with AWS SAM and Terraform. Includes setup for monitoring, health checks, and scalable cloud deployments.

A comprehensive suite of 25 advanced agent skills designed for modern software development and platform operations. These tools cover the entire development lifecycle, including multi-agent architecture design, robust CI/CD pipelines, database schema management, performance profiling, observability setup, and security auditing. Ideal for complex system integration and platform engineering teams.

This skill provides methods for reliably extracting typed, validated, and structured data from Large Language Models (LLMs), moving beyond simple text parsing. It covers best practices across major APIs (OpenAI's response_format, Anthropic's tool_use, Google's responseSchema) and local models. Key workflows include defining schemas (Pydantic/Zod), implementing constrained decoding, and building robust retry loops for production-grade data pipelines.

A comprehensive guide to using k6 for robust performance and load testing across APIs, WebSockets, and browser scenarios. Learn to write realistic load simulations (smoke, load, stress, soak), analyze performance metrics, set SLAs, and integrate testing into CI/CD pipelines to ensure system reliability before deployment.

Analyzes structured and unstructured threat intelligence feeds to extract indicators, normalize data into STIX 2.1, enrich IOCs, deduplicate, and distribute via TAXII to SIEM/EDR systems—ideal for assessing CTI feed quality or automating feed ingestion pipelines.

Automates enrichment of indicators of compromise with multi-source threat intelligence via SOAR playbooks or Python pipelines to speed SIEM alert triage and bulk IOC processing.