manimgl-best-practices
Best practices and code patterns for ManimGL (3Blue1Brown's OpenGL animation engine). Provides templates, rules for 3D/interactive scenes, camera control, and LaTeX math visualization for technical creators.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
179 skills found
Best practices and code patterns for ManimGL (3Blue1Brown's OpenGL animation engine). Provides templates, rules for 3D/interactive scenes, camera control, and LaTeX math visualization for technical creators.
A specialized tool for generating single-file HTML user interfaces with integrated Tailwind CSS, perfect for rapid prototyping, UI exploration, and design inspiration.
Perform comprehensive technical analysis for stocks and ETFs using indicators like RSI, MACD, and Bollinger Bands to generate actionable trading signals and comparative reports.
Architectural planning and scaling for spectre-build, covering GUI, server layers, multi-model support, and industrial pipeline orchestration.
Aggregates and analyzes market sentiment for crypto and stock tickers by scanning news and social signals for quick trading vibe checks.
Interactive tool for generating Business, Model, Architecture, and Design (BMAD) planning documentation for feature development.
Implementation patterns for MERIDIAN autonomous AI agents using Claude API, including BaseAgent lifecycle, structured tool use, token budget enforcement, and cron scheduling.
Analyze markdown documentation files to ensure compliance with predefined AI token budgets and optimize content for efficient AI ingestion.
AI-optimized artifact tracking system for token-efficient project orchestration, phase management, and automated task delegation using YAML-Markdown hybrid formats.
Control the Unity Editor via Claude Code to run tests, compile scripts, manage play mode, and retrieve console logs using a file-based bridge.
A testing skill designed to verify the functionality of the Skillet CLI by performing basic tasks and confirming completion.
Proactive context window management for AI agents via intelligent token monitoring, snapshot creation, and selective state rehydration to maintain continuity during long sessions.