Results for “visual-differentiation”

Skeptical pushback on visual placement — both density and quality. Reads the annotated outline plus the visuals manifest and asks (a) whether the article hits the density target from editorial-principles-visuals.md, (b) whether each [VISUAL:...] earns its place, (c) whether sections without one would benefit. One revision pass on FAIL (BLOG_AGENT_VISUALS_REVISION_BUDGET, default 1).

COCO: Microsoft COCO: Common Objects in Context

Masked Autoencoders Are Scalable Vision Learners

Structured visual QA verdict for screenshot-to-reference comparisons

NLVR2: A Visual Reasoning Benchmark for Natural Language

Towards Open-World Segmentation of Parts

VILA: On Pre-training for Visual Language Models

Build a visual sequence that proves, explains, and supports decisions.

Open-Vocabulary Object Detection Using Captions

Mosaic Augmentation for Detection and Segmentation

Vision-language pre-training framework bridging frozen image encoders and LLMs. Use when you need image captioning, visual question answering, image-text retrieval, or multimodal chat with state-of-the-art zero-shot performance.

Nocaps: Novel Object Captioning at Scale

Multimodal Few-Shot Learning with Frozen Language Models

Vision-language pre-training framework bridging frozen image encoders and LLMs. Use when you need image captioning, visual question answering, image-text retrieval, or multimodal chat with state-of-the-art zero-shot performance.

This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.

Expert real-time VFX artist specializing in particle systems, shader effects, and the invisible craft that makes games feel satisfying. Masters Niagara, VFX Graph, Godot GPU particles, and understands the AAA principles that make effects read clearly at 60fps. Use when "particle system, visual effects, vfx, particles, niagara, vfx graph, flipbook, sprite sheet, explosion effect, magic effect, trail effect, beam effect, dissolve, distortion, force field, hit effect, muzzle flash, impact effect, smoke particles, fire effect, soft particles, game juice, screen shake, particle overdraw, effect optimization, vfx, particles, effects, niagara, vfx-graph, game-juice, visual-effects, shaders, flipbook, trails, beams, explosions, optimization, gpu-particles" mentioned.

Visual Instruction Tuning

LongVA: Long Context Transfer from Language to Vision

Generate image captions, answer visual questions, and perform image-text retrieval using BLIP-2's Q-Former architecture with frozen vision encoders and LLMs.

BPPV Differential Diagnosis Checker

Structured visual QA verdict for screenshot-to-reference comparisons

Design clear, accessible data visualizations with appropriate chart selection and styling.

Mantis: Interleaved Multi-Image Instruction Tuning

This skill provides guidance for video analysis and processing tasks using computer vision techniques. It should be used when analyzing video frames, detecting motion or events, tracking objects, extracting temporal data (e.g., identifying specific frames like takeoff/landing moments), or performing frame-by-frame processing with OpenCV or similar libraries.

SVIT: Scaling up Visual Instruction Tuning

LLaVA-NeXT: Improved Reasoning, OCR, and World Knowledge

GLIP: Grounded Language-Image Pre-training

SynthText: Synthetic Data for Text Detection

Extract brand visual system from a website or brand assets into a structured style guide