Complete visual content system for Claude Code. Use when generating blog headers, infographics, editorial art, diagrams, or comics. Default aesthetic: light backgrounds, teal/burnt orange accents, hand-drawn sketch style.
Meta-skill for driving Blender via BlenderMCP: 3D modelling (box, hard-surface, boolean), digital sculpting, PBR material authoring, lighting, rendering, and scene assembly. Claude writes and runs bpy Python (execute_code), screenshots the viewport, inspects, and corrects — with GPU renders via blender-batch and interactive sessions via the gui-tools GPU sidecar. Use this whenever a task involves Blender, a .blend file, 3D modelling/sculpting/texturing, a Cycles or EEVEE render, or generating and processing 3D assets — even when the user does not name Blender explicitly (e.g. 'model a low-poly house', 'sculpt a creature head', 'make a PBR metal material', 'render this scene on the GPU', 'build a modular sci-fi corridor kit'). Not for 2D image editing (use imagemagick), text-to-image generation (use comfyui), or GIS map rendering (use qgis).
Real-time AI meeting copilot. Dual audio capture (system + mic), live transcription (faster-whisper local or Deepgram cloud), LLM coaching loop (Claude/GPT every ~35s), always-on-top overlay, session logging with markdown export. Use when the user says "meeting recap", "meeting copilot", "live transcription", "meeting insights", "coaching during meeting", or "record this call".
Expand and analyze URLs using Google Gemini 2.5 Flash URL Context API. Efficiently fetches, summarizes, and extracts information from up to 20 URLs per request with grounding metadata and source citations. Use when analysing or summarising specific URLs using Gemini's 1M-token context window.
Build world-class comprehensive reports with LaTeX, Python analytics, Wardley maps, diagrams-as-code (TikZ + Mermaid), Nano Banana AI infographics, multi-LLM research swarms, and automated quality control. Use when creating research reports, white papers, sector analyses, technical documentation, policy briefs, or any document requiring professional presentation with data-driven charts, citations, and strategic visualisations.
Plan UK ground-mounted (utility-scale) solar farms end-to-end: site suitability, optimal tilt and inter-row spacing (GCR), array capacity and annual yield, 3D layout with inter-row shadow review, generation forecasting, and DNO grid-connection feasibility. Composes the qgis (site/terrain/ALC/flood) and blender (3D array + shading) skills with PVGIS yield data, Open Climate Fix's quartz-solar-forecast, and OpenDSS grid modelling. Use whenever the task involves a UK solar farm / solar site / ground-mount PV array — assessing a field or parcel for solar, sizing capacity, choosing panel tilt/row spacing, estimating kWh/yield or land use, visualising an array layout, checking shading, forecasting generation, or DNO/grid-connection pre-checks (e.g. 'is this 30-acre field good for solar', 'what tilt and spacing for a solar farm near Peterborough', 'how many MW fit on 20 hectares', 'model the array layout and winter shadows'). UK-specific (latitude, diffuse light, ALC land grades, DNO). Not for rooftop domestic PV or
DeepSeek reasoning bridge. Use when the user says "ask deepseek", "consult with deepseek", "delegate reasoning to deepseek", or needs advanced multi-step reasoning. Invokes DeepSeek via MCP for complex problem-solving with structured Chain-of-Thought outputs.
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration. Use when coordinating across multiple repositories, syncing packages, or running org-wide automation.