All Skills

This skill should be used when the user asks to "create a ReAct agent", "build an agent with tools", "implement tool-calling agent", "use dspy.ReAct", mentions "agent with tools", "reasoning and acting", "multi-step agent", "agent optimization with GEPA", or needs to build production agents that use tools to solve complex tasks.

Profile and explore datasets to understand their shape, quality, and patterns before analysis. Use when encountering a new dataset, assessing data quality, discovering column distributions, identifying nulls and outliers, or deciding which dimensions to analyze.

Read Apple Notes content and execute checklist-driven automations in order. Use when a user asks to run tasks from an Apple Note (especially a checklist note like "AGENT TODO LIST"), or to fetch a specific note body for automation.

Convert DGN files (v7-v8) to Excel databases. Extract elements, levels, and properties from infrastructure CAD files.

Build with i18n in mind from day one using Laravel translation helpers, JSON files, Blade integration, and locale management

Process large datasets efficiently using chunk(), chunkById(), lazy(), and cursor() to reduce memory consumption and improve performance

Audit designs and code for WCAG 2.1 AA compliance. Trigger with "is this accessible", "accessibility check", "WCAG audit", "can screen readers use this", "color contrast", or when the user asks about making designs or code accessible to all users.

Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution. Use when needing to run interpretability experiments on massive models (70B+) without local GPU resources, or when working with any PyTorch architecture.

NVIDIA NeMo Guardrails configuration for conversational safety and control

Use when replacing a core algorithm (encryption, hashing, ML model) that affects persisted user data and needs rollback safety.

Professional data visualization creation using D3.js with support for interactive charts, custom visualizations, animations, and responsive design. Use for: (1) Creating custom interactive charts, (2) Building dashboards, (3) Network/graph visualizations, (4) Geographic data mapping, (5) Time series analysis, (6) Real-time data visualization, (7) Complex multi-dimensional data displays

AWS API Gateway for REST and HTTP API management. Use when creating APIs, configuring integrations, setting up authorization, managing stages, implementing rate limiting, or troubleshooting API issues.

AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns.

Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting.

GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs with RAPIDS. Use for preparing high-quality training datasets, cleaning web data, or deduplicating large corpora.

OpenTelemetry instrumentation for LLM applications with distributed tracing

How to use Colin to compile agent skills from live sources. Use when working with Colin projects, templates, compilation, or skill management.

Assesses whether code reflects strategic or tactical thinking. Use when the user asks to evaluate design investment, when code was written under time pressure, when a developer consistently produces working code that degrades the system, or when assessing whether a codebase invests in design. Checks the 10-20% investment rule and tactical tornado patterns.

--- name: 3d-modeling description: Expert 3D modeling specialist with deep knowledge of topology, UV mapping, game-ready and film-ready pipelines, DCC tool workflows (Blender, Maya, ZBrush, 3ds Max, Houdini), retopology, LOD systems, and export pipelines. This skill represents years of production

Query expansion, HyDE, and multi-query generation for improved retrieval

Send and receive messages between AI agents using AI Maestro's messaging system. Use this skill when the user asks to "send a message", "check inbox", "read messages", "notify [agent]", "tell [agent]", or any inter-agent communication.

Structured prompt template creation with variables, formatting, and version control

Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. Use when training large-scale models with limited compute (5× cost reduction vs dense models), implementing sparse architectures like Mixtral 8x7B or DeepSeek-V3, or scaling model capacity without proportional compute increase. Covers MoE architectures, routing mechanisms, load balancing, expert parallelism, and inference optimization.

Use when working with *.excalidraw or *.excalidraw.json files, user mentions diagrams/flowcharts, or requests architecture visualization - delegates all Excalidraw operations to subagents to prevent context exhaustion from verbose JSON (single files: 4k-22k tokens, can exceed read limits)