Your agent can do more. Find the skill that makes it happen.
Find your next superpower If you are an agent, refer to our llms.txt for full access.Extends Grounding DINO with a mask-prediction head for open-set segmentation driven by text prompts. Supports training, evaluation, export, quantization, and inference.
Break a plan, specification, or conversation into tracer-bullet tickets. Define blocking dependencies and publish the issues to the project tracker.
Fuses LiDAR point clouds and camera images in bird's-eye-view space for multi-sensor perception. Supports training, evaluation, and inference with TAO BEVFusion models.
Supports training, evaluation, export, pruning, quantization, retraining, and inference for OCDNet. Its scene text detector uses differentiable binarization to locate text regions at arbitrary orientations.
Supports training, evaluation, export, quantization, and inference for OneFormer. Its single architecture uses task-conditioned queries to handle panoptic, instance, and semantic segmentation.
Supports training, evaluation, export, pruning, retraining, and inference for PointPillars. Encodes point clouds as pillar-based pseudo-images for 2D detection, with applications in autonomous driving and robotics.
Supports BAM-to-bigWig conversion and quality checks using correlation, PCA, and fingerprints. Produces heatmaps and profiles for ChIP-seq, RNA-seq, and ATAC-seq data.
Covers the Result pattern, RFC 9457 ProblemDetails, global exception handling, and FluentValidation. Supports consistent validation behavior and API error contracts.
Supports image generation through DashScope, Ark, Hunyuan, Zhipu, StepFun, Grok, OpenAI, Gemini, and FLUX. Specializes in Chinese text rendering and photorealistic images.
Covers primary constructors, collection expressions, the field keyword, extension members, records, pattern matching, spans, and raw string literals. Supports new code and modernization reviews.
Covers Apex classes, triggers, test classes, and batch, queueable, and scheduled jobs. Evaluates code using a 150-point scoring system.
Runs tao-daft validate to check dataset structure, schema, and cross-references. Applies specifically to DAFT datasets and excludes other dataset formats.
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
A name only tells half the story. Search the full description and instructions to find the right fit.
Read the skill, visit its source, and see exactly what you’re adding to your agent.
Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name