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.Defines frontend design guardrails for airy, minimal-noise app interfaces. Covers brand-aware themes, spacing, typography, contrast, surfaces, shadows, and layout defaults while complementing domain-specific application workflows.
Builds publication figures with multi-panel layouts, error bars, significance markers, and colorblind-safe styling. Supports PDF, EPS, and TIFF export.
Submits training, evaluation, and inference jobs using sbatch or srun. Supports Pyxis/Enroot containers and Lustre-backed results on on-premises or DGX SLURM clusters.
Uses the distilled bp2 commercial variant of FoundationStereo to predict disparity maps with lower latency than the full model. Supports TAO training, evaluation, export, and inference.
Covers TorchDrug 0.2.1 molecular graphs, property prediction, self-supervised pretraining, molecule generation, retrosynthesis, and protein representation learning. Also supports knowledge graph reasoning and use of datasets, models, tasks, and Engine.
Covers provisioning and managing Turso Cloud's network-accessible, SQLite-compatible databases and connecting applications through language SDKs. Includes JWTs, fine-grained permissions, external authentication providers, and marketplace integrations such as Vercel.
Uses product requirements, roadmap, vision, and design documents to implement an entire MVP in task order. Tests and verifies each task, updates progress, validates the core experience end to end, and initializes Git with an initial commit.
Supports collection discovery, metadata queries, DICOM access, visualization, and license checks. Covers radiology and pathology datasets, including AI training data, without requiring authentication.
Uses pymatgen APIs to validate, convert, transform, and analyze materials structures and computed data. Covers local phase diagrams, symmetry sensitivity, electronic-structure input and output, and bounded Materials Project queries.
Predicts disparity maps from stereo image pairs. Covers TAO FoundationStereo training, evaluation, export, and inference.
Retrieves versioned public cell metadata, expression slices, summary counts, embeddings, spatial data, and source H5AD locations. Supports reference atlas comparisons across organisms, tissues, diseases, assays, and cell types.
Covers GCP compute, Kubernetes, Cloud Run, messaging, networking, DNS, IAM, and Secret Manager. Supports infrastructure monitoring, usage analysis, security posture audits, and organizational hierarchy management.
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