Plugins

12 plugins

Security audits, vulnerability scanning and secure coding.

30 skills · plugin

Dotnet Template Engine

.NET Template Engine skills: template discovery, project scaffolding, and template authoring.

6 skills · plugin

Create and Share Agent Skills

Scaffold, build, verify, and share a new agent skill with the team.

11 skills · plugin

Publish Mobile-First Page

Scaffold and publish a mobile-first page with responsive layout and design tokens.

4 skills · plugin

Build Spring Boot REST API

Scaffold a Spring Boot project and implement REST API following best practices.

3 skills · plugin

PR Review Pipeline

Install this pack to review a PR with structured analysis, security scanning, and quality enforcement.

11 skills · plugin

Quarkus Release Pipeline

Install this pack to run build, static analysis, security scan, and diff review before a Quarkus release.

3 skills · plugin

Microsoft 365 Agents Toolkit

Toolkit for building and evaluating Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, capability configuration, and eval workflows.

6 skills · plugin

Analyze Single-Cell RNA-Seq

Analyze single-cell RNA-seq data using Scanpy, including quality control, normalization, clustering, marker gene identification, and visualization.

9 skills · plugin

Betreuungsrecht

Betreuungsrechtliche Skills für ehrenamtliche Familienbetreuer, Berufs- und Vereinsbetreuer: Kaltstart, Scan-Akte, Kalender, Gerichtskommunikation, Jahresbericht, Vermögensverzeichnis, Genehmigungspflichten, Wunschermittlung, Kontoanalyse und Schutzplan nach BtOG und BGB.

2 skills · plugin

Building Secure Contracts

Comprehensive smart contract security toolkit based on Trail of Bits' Building Secure Contracts framework. Includes vulnerability scanners for 6 blockchains and 5 development guideline assistants.

11 skills · plugin

Build MVP from Spec

Turn a design or spec document into a working MVP by planning thin vertical slices, scaffolding, then building iteratively with TDD and gated commits.

5 skills · plugin

Results for “sca”

32 skills

Trains machine learning models on genomic interval data from BED files, including region embeddings, single-cell ATAC-seq analysis, and consensus peak building.

Train unsupervised machine learning models on genomic interval data from BED files, including region embeddings, single-cell ATAC-seq analysis, and consensus peak building.

30.2k · bundle

Cupynumeric Migration Readiness

Assesses NumPy code for cuPyNumeric migration readiness by analyzing source code against an API support manifest and GPU-scaling idioms, producing a structured verdict with per-finding reasoning.

orchestra-research

Knowledge Distillation

Compress large language models using knowledge distillation from teacher to student models, covering temperature scaling, soft targets, reverse KLD, logit distillation, and MiniLLM training strategies.

10.4k · bundle

orchestra-research

Scales machine learning training from single GPU to multi-node clusters with minimal code changes. Supports PyTorch, TensorFlow, and HuggingFace with built-in hyperparameter tuning, fault tolerance, and elastic scaling.

10.4k · bundle

Machine Learning

Integrates on-device and cloud machine learning into Flutter apps with TensorFlow Lite and Firebase ML Kit, covering image classification, object detection, OCR, face detection, and barcode scanning.

More results

Guides AI agents to apply advanced mathematical and probabilistic techniques (Bloom filters, HyperLogLog, FFT, etc.) for large-scale data problems where classical algorithms are optimal but math offers better asymptotic bounds.

Scales AI and Python applications across clusters with distributed computing primitives for ML workloads.

Scales Python ML workloads across clusters using Ray's distributed tasks, actors, data, and serving capabilities.

Distributed LLM Pretraining Torchtitan

Pretrains large language models at scale using PyTorch-native torchtitan with 4D parallelism, Float8, and distributed checkpointing.

Segments abdominal organs from CT NIfTI volumes using the NV-Segment-CT VISTA3D model, producing label maps and structured evidence JSON.

orchestra-research

Train and experiment with a minimal GPT implementation in ~300 lines of PyTorch, from character-level Shakespeare to GPT-2 scale.

10.4k · bundle

orchestra-research

Modal Serverless Gpu

Run ML workloads on Modal's serverless GPU cloud platform with auto-scaling, pay-per-second pricing, and Python-native infrastructure.

10.4k · bundle

Nv Segment Ct Finetune

Fine-tune NV-Segment-CT VISTA3D on CT NIfTI labels for smoke testing or dataset adaptation, wrapping the upstream MONAI bundle entrypoint.

Annotates single-cell RNA-seq data by scoring marker genes, transferring labels with CellTypist, or reasoning over marker lists with an LLM.

orchestra-research

Miles Rl Training

Train large-scale MoE models with FP8/INT4 low-precision RL, speculative decoding, and train-inference alignment using the miles framework.

10.4k · bundle

Provides deep generative models for single-cell omics analysis, including probabilistic batch correction, transfer learning, differential expression, and multi-modal integration.

30.2k · bundle

Evaluates text-to-speech systems by measuring distributional distance between synthetic and real speech across five factors, producing a scalar score without subjective MOS ratings.

Train, evaluate, export, distill, quantize, or run inference for a TAO DINO 2D object detector using transformer-based detection with denoising training and multi-scale features.

Universal Single Cell Annotator

Annotates single-cell RNA-seq data by scoring marker genes, transferring labels with CellTypist, or reasoning over cluster markers with an LLM.

orchestra-research

Torchforge Rl Training

Train reinforcement learning models using torchforge, Meta's PyTorch-native RL library for scalable, algorithm-focused experimentation with GRPO, DAPO, and custom loss functions.

10.4k · bundle

orchestra-research

Pytorch Lightning

Organizes PyTorch code with a Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks, and minimal boilerplate. Scales from laptop to supercomputer with the same code.

10.4k · bundle

Modal Serverless Gpu

Run ML workloads on Modal's serverless GPU cloud: deploy models as auto-scaling APIs, run batch jobs, and schedule tasks with pay-per-second GPU pricing.

orchestra-research

Verl Rl Training

Train LLMs with reinforcement learning using verl (Volcano Engine RL), supporting RLHF, GRPO, PPO, and other algorithms for scalable post-training with flexible infrastructure backends.

10.4k · bundle

Estimate cell state transitions from unspliced/spliced mRNA dynamics using scVelo, infer trajectory directions, compute latent time, and identify driver genes in single-cell RNA-seq data.

30.2k · bundle

orchestra-research

Ml Training Recipes

Provides battle-tested PyTorch training recipes for LLMs, vision, diffusion, and biomedical domains, covering training loops, optimizer selection, LR scheduling, mixed precision, and debugging.

10.4k · bundle

Tao Train Deformable Detr

Train, evaluate, export, quantize, and run inference for a Deformable DETR 2D object detection model using TAO, with deformable attention for efficient multi-scale feature processing.

Analyze RNA velocity in single-cell RNA-seq data with scVelo, estimating cell state transitions from unspliced/spliced mRNA dynamics, inferring trajectory directions, computing latent time, and identifying driver genes.

Detecting Anomalies In Industrial Control Systems

Deploys anomaly detection for industrial control environments using machine learning models trained on OT network baselines, physics-based process models, and behavioral analysis of industrial protocol communications.

24.6k · bundle

Provides domain knowledge on the Causal Dynamics Architecture (CDA), an alternative AI computing architecture based on causal graphs and Hamiltonian dynamics, with references for deep dives.

Pytorch Lightning

Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard, MLflow), and distributed training (DDP, FSDP, DeepSpeed) for scalable neural network training.

30.2k · bundle

Evaluates text-to-image generation models by decomposing assessment into five specialized skills (object presence, count, spatial relations, scale, and text rendering) and open-ended prompts, producing interpretable binary scores with visual and textual explanations.