Plugins

12 plugins

Daloopa from ConcertoNotes/codex-plugins.

3 skills · plugin

Azure Data Analytics

For data engineers to query and manage big data on Azure with Kusto and Data Lake.

4 skills · plugin

Data from om-scogo/skillsh-scraper.

100 skills · plugin

Privacy Data Protection Skills

Privacy Data Protection Skills from mukul975/Privacy-Data-Protection-Skills.

100 skills · plugin

Data Analysis from nivkazdan/skills-agents-catalog.

6 skills · plugin

SQL, analytics, datasets, models and machine-learning workflows.

29 skills · plugin

Sci Fi Dashboard

Sci Fi Dashboard from UpayanGhosh/Synapse-OSS.

11 skills · plugin

Data analytics skills for PMs: SQL query generation and cohort analysis. Analyze user data, generate queries, and identify retention patterns.

3 skills · plugin

Publish Interactive Plotly Dashboard

For analysts who need to turn tabular data into an interactive Plotly dashboard with statistical context and safe execution.

3 skills · plugin

Python Data Visualization

For data scientists to create static and interactive plots using Python libraries.

12 skills · plugin

@brycewang-stanford

Twelve DAC-specific skills for the ACM/IEEE Design Automation Conference (the Chips to Systems Conference) and its double-blind Research Manuscript track, grounded in the DAC 2026 (63rd) call, dac.com, IEEE CEDA, ACM SIGDA, the ACM Digital Library, and dblp.

2 skills · plugin

.Codex from DangQuangSE/team-development-skills.

40 skills · plugin

Results for “da”

92 skills

Tao Run Deft Aoi

Automates the full DEFT AOI improvement loop for NVIDIA TAO VisualChangeNet / ChangeNet PCB inspection models, including baseline evaluation, RCA, synthetic defect generation, data mining, retraining, and deployment gating until KPI targets are met.

Connects AI assistants to the Hugging Face Hub via MCP server tools to search models, datasets, Spaces, and papers, retrieve repository details and documentation, run compute jobs, and use Gradio Spaces as AI tools.

Implements and applies algorithms concepts, designs solutions using algorithmic principles, and optimizes performance for algorithm implementations.

Amc Run Video Calibration

Calibrate a new dataset from pre-recorded video files via the AutoMagicCalib REST API.

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

Physicsnemo Discover

Navigate the PhysicsNeMo repository by discovering model families, datapipes, and examples through live file search, without writing training code.

Enforces rigorous ML modeling, feature engineering, training, and evaluation standards at principal-engineer level.

Instrument LLM applications with Langfuse for tracing, prompt versioning, evaluation, and dataset management across Python and JavaScript SDKs.

Hqq Quantization

Quantize LLMs to 8/4/3/2/1-bit precision without calibration data, using multiple backends and HuggingFace/vLLM integration.

Filters and prioritizes compound libraries in drug discovery using drug-likeness rules, structural alerts, complexity metrics, and a query language.

Analyzes raw genomic data (FASTQ/VCF) to generate non-medical wellness, longevity, and pharmacogenomic optimization protocols while keeping DNA processing local and private.

Process whole slide images for digital pathology: detect tissue, extract tiles, and prepare datasets for deep learning pipelines.

30.2k · bundle

orchestra-research

Experiment Tracking Swanlab

Track ML experiments with open-source run logging, local or self-hosted dashboards, and media visualization using SwanLab.

10.4k · bundle

Fine-tune instruction-following LLMs with Unsloth's optimized SFTTrainer, covering dataset formatting, chat templates, training configuration, and thinking-model patterns.

200 Aeon E7807df1

Guides feature extraction and preprocessing for time series data using aeon transformers, covering collection and series transformers with code examples.

Reduce high-dimensional data with UMAP for visualization, clustering preprocessing, and supervised or semi-supervised learning, including parameter tuning guidance.

Provides expert guidance on PyTorch Fully Sharded Data Parallel (FSDP) training, covering parameter sharding, mixed precision, CPU offloading, and FSDP2.

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.

Provides expert guidance on modern Julia 1.10+ development, covering performance optimization, multiple dispatch, tooling, testing, and production-ready practices.

Earth2studio Create Diagnostic

Create Earth2Studio diagnostic model wrappers for single-step data transformations, including simple derived diagnostics, packaged AutoModel diagnostics, and generative or diffusion diagnostics.

Fit statistical models (OLS, GLM, ARIMA, mixed models) with detailed diagnostics, residuals, and inference for econometrics and time series analysis.

30.2k · bundle

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

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

Trains language models with Direct Preference Optimization using preference pairs, covering DPOTrainer setup, dataset preparation, and beta tuning for stable preference learning without explicit reward models.

Pythonic wrapper around RDKit for cheminformatics, simplifying SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, and parallel processing while returning native rdkit.Chem.Mol objects.

Benchmarks a text-to-text transformer across GLUE, SuperGLUE, CNN/Daily Mail, SQuAD, and WMT, reporting GLUE average, BLEU, ROUGE-2-F, and Exact Match scores.

Benchmarks medical AI agents on synthetic EHR tasks, measuring success rates for data retrieval, temporal aggregation, and threshold-based conditional logic with exact-match scoring.

Agent Platform Tuning

Fine-tune open models or Gemini models using Agent Platform infrastructure, from environment setup through data preparation, job configuration, monitoring, and deployment.

14.4k · bundle

Nv Generate Vae Finetune

Finetune the NV-Generate-CTMR MAISI VAE/autoencoder on user-supplied CT or MRI NIfTI volumes using a staged config and datalist workflow.

Nemo Mbridge Mlm Bridge Training

Run Megatron-LM (MLM) and Megatron Bridge training with mock or real data, covering correlation testing, available recipes, and multi-GPU examples.

Hqq Quantization

Quantize large language models to 8/4/3/2/1-bit precision without calibration data, using multiple optimized backends and integrations with HuggingFace Transformers, vLLM, and PEFT/LoRA.

Tao Finetune Cosmos Reason

Fine-tune Cosmos Reason video QA models using supervised fine-tuning with FSDP parallelism, including dataset preparation, spec construction, and AutoML support.

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

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

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.

Azure AI Anomalydetector Java

Detect anomalies in time-series data using the Azure AI Anomaly Detector SDK for Java, with support for univariate and multivariate analysis, model training, and inference.