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Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and citation verification workflows.

Create professional cinematic scripts for AI video generation with character consistency and cinematography knowledge. Use when the user wants to write a cinematic script, create story contexts with characters, generate image prompts for AI video tools (Midjourney, Sora, Veo), or needs cinematography guidance (camera angles, lighting, color grading). Also use for character consistency sheets, voice profiles, anachronism detection, and saving scripts to Google Drive.

Best practices for Home Assistant automations, helpers, scripts, and device controls. TRIGGER THIS SKILL WHEN: - Creating or editing HA automations, scripts, or scenes - Choosing between template sensors and built-in helpers - Writing or restructuring triggers, conditions, or automation modes - Setting up Zigbee button/remote automations (ZHA or Zigbee2MQTT) - Renaming entities or migrating device_id references to entity_id SYMPTOMS THAT TRIGGER THIS SKILL: - Agent uses Jinja2 templates where native conditions, triggers, or helpers exist - Agent uses device_id instead of entity_id in triggers/actions - Agent modifies entity IDs or config objects without checking all consumers - Agent chooses wrong automation mode (e.g., single for motion lights)

This skill should be used when the user asks to "create an animation", "make a manim video", "animate this concept", "visualize this process", "create a GIF for my blog", "plot a graph", "animate a value", or mentions "manim", "mathematical animation", "code animation", "process visualization", "technical animation", "3D scene", "camera animation", "ValueTracker", "number animation". Provides ManimCE (Community Edition) syntax, patterns, and best practices for creating programmatic animations.

Professional-grade virtual film director and prompt engineer for Seedance 2.0 (即梦). Transforms vague ideas into cinematic, production-ready video prompts with Hollywood-caliber shot design. Covers every workflow — text-to-video, image-to-video, multi-modal references, video extension, character swap, dialogue-driven short films, and music-synced edits. Ships with a cinematography dictionary (50+ safe camera-move phrases), a director style library (Villeneuve, Wes Anderson, Shinkai, Wuxia & more), a 3-layer lighting & quality-anchor system that kills the "plastic AI look," and a built-in structured validation checklist so every prompt passes before delivery. Supports bilingual output (Chinese/English) with smart >15 s auto-segmentation for long-form storytelling. Trigger words: Seedance, Shot Design, AI video, storyboard, video prompt, short film, cinematic prompt, 即梦, 视频提示词, 分镜, 视频脚本, AI视频, 短片脚本, 镜头设计, 运镜.

Film and video storyboarding with shot vocabulary, continuity rules, and panel layout. Covers shot types, camera angles, movement, 180-degree rule, and annotation format. Use for: video planning, film pre-production, ad storyboards, music video planning, animation. Triggers: storyboard, storyboarding, shot list, film planning, video planning, pre production, shot composition, camera angles, scene planning, visual script, animatic, storyboard panels, video storyboard

Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and citation verification workflows.

Discover and configure Bluetooth and Wi-Fi accessories using AccessorySetupKit. Use when presenting a privacy-preserving accessory picker, defining discovery descriptors for BLE or Wi-Fi devices, handling accessory session events, migrating from CoreBluetooth permission-based scanning, or setting up accessories without requiring broad Bluetooth permissions.

Configures and publishes MQTT auto-discovery messages to automatically register IoT devices and sensors with Home Assistant, defining discovery payloads with device classes, state classes, units, and device grouping for multi-sensor devices. Use when integrating custom IoT devices, creating MQTT sensors, building ESP32/ESP8266/Pi-based devices that auto-register with HA, or implementing resilient MQTT patterns with offline queuing and auto-reconnect.

Generate Arduino/embedded C++ code snippets and patterns on demand for UNO/ESP32/RP2040. Use when users request Arduino code for sensors, actuators, communication protocols, state machines, non-blocking timers, data logging, or hardware abstraction. Generates production-ready code with proper memory management, timing patterns, and board-specific optimization. Supports DHT22, BME280, buttons, I2C/SPI, EEPROM, SD cards, WiFi, and common peripherals.

Generate flat, minimal light/dark-aware SVG diagrams as standalone HTML files, using a unified educational visual language with 9 semantic color ramps, sentence-case typography, and automatic dark mode. Best suited for educational and non-software visuals — physics setups, chemistry mechanisms, math curves, physical objects (aircraft, turbines, smartphones, mechanical watches), anatomy, floor plans, cross-sections, narrative journeys (lifecycle of X, process of Y), hub-spoke system integrations (smart city, IoT), and exploded layer views. If a more specialized skill exists for the subject (dedicated software/cloud architecture, hand-drawn sketches, animated explainers, etc.), prefer that — otherwise this skill can also serve as a general-purpose SVG diagram fallback with a clean educational look. Ships with 15 example diagrams.

Trigger when: (1) User mentions "manimgl" or "ManimGL" or "3b1b manim", (2) Code contains `from manimlib import *`, (3) User runs `manimgl` CLI commands, (4) Working with InteractiveScene, self.frame, self.embed(), ShowCreation(), or ManimGL-specific patterns. Best practices for ManimGL (Grant Sanderson's 3Blue1Brown version) - OpenGL-based animation engine with interactive development. Covers InteractiveScene, Tex with t2c, camera frame control, interactive mode (-se flag), 3D rendering, and checkpoint_paste() workflow. NOT for Manim Community Edition (which uses `manim` imports and `manim` CLI).

AVCaptureSession, camera preview, photo capture, video recording, RotationCoordinator, session interruptions, deferred processing, capture responsiveness, zero-shutter-lag, photoQualityPrioritization, front camera mirroring

Time-series database implementation for metrics, IoT, financial data, and observability backends. Use when building dashboards, monitoring systems, IoT platforms, or financial applications. Covers TimescaleDB (PostgreSQL), InfluxDB, ClickHouse, QuestDB, continuous aggregates, downsampling (LTTB), and retention policies.

Systematic hardware debugging guide for Arduino/ESP32/RP2040 circuits. Use when user reports: circuit not working, components getting hot, no power, intermittent failures, unexpected behavior, sensor not responding, LED not lighting, motor not spinning. Guides through power checks, continuity testing, signal tracing, and component isolation using multimeter techniques.

Trigger when: (1) User mentions "manim" or "Manim Community" or "ManimCE", (2) Code contains `from manim import *`, (3) User runs `manim` CLI commands, (4) Working with Scene, MathTex, Create(), or ManimCE-specific classes. Best practices for Manim Community Edition - the community-maintained Python animation engine. Covers Scene structure, animations, LaTeX/MathTex, 3D with ThreeDScene, camera control, styling, and CLI usage. NOT for ManimGL/3b1b version (which uses `manimlib` imports and `manimgl` CLI).

Use picocom to interact with IoT device UART consoles for pentesting operations including device enumeration, vulnerability discovery, bootloader manipulation, and gaining root shells. Use when the user needs to interact with embedded devices, IoT hardware, or serial consoles.

Deep pixel art expertise covering fundamentals, limited palettes, dithering patterns, subpixel animation, tile design, retro hardware constraints, and HD-2D hybrid techniques. Knowledge Claude wouldn't normally have from indie masters like Pedro Medeiros (saint11). Use when "pixel art, sprite art, dithering, limited palette, subpixel animation, tileset, autotile, pillow shading, selective outline, selout, hue shifting, color ramp, NES style, SNES style, HD-2D, Aseprite, retro game art, 8-bit, 16-bit, pixel-art, sprites, animation, retro, indie-games, dithering, palettes, tiles, subpixel, aseprite, NES, SNES, GBA, HD-2D" mentioned.

Generate professional shot lists from screenplays and scripts. Use when user uploads a screenplay (.fountain, .fdx, .txt, .pdf, .docx) or describes scenes for production planning. Parses scripts to extract scenes, helps determine camera setups, shot types, framing, and movement through collaborative discussion, then generates beautifully formatted PDF shot lists for production. Triggers include requests to create shot lists, plan shots, break down scripts for filming, or organize camera coverage.

Use this skill to analyze an existing PostgreSQL database and identify which tables should be converted to Timescale/TimescaleDB hypertables. **Trigger when user asks to:** - Analyze database tables for hypertable conversion potential - Identify time-series or event tables in an existing schema - Evaluate if a table would benefit from Timescale/TimescaleDB - Audit PostgreSQL tables for migration to Timescale/TimescaleDB/TigerData - Score or rank tables for hypertable candidacy **Requires:** Access to existing PostgreSQL database or schema definitions **Keywords:** hypertable candidate, table analysis, migration assessment, Timescale, TimescaleDB, time-series detection, insert-heavy tables, event logs, audit tables Provides SQL queries to analyze table statistics, index patterns, and query patterns. Includes scoring criteria (8+ points = good candidate) and pattern recognition for IoT, events, transactions, and sequential data.