ML Ops
Machine learning operations
pymc-bayesian-modeling
by jaechang-hits
"Bayesian modeling with PyMC 5. 8-step workflow: define model, set priors, define likelihood, sample (NUTS/ADVI), diagnose (R-hat, ESS, divergences), interpret posteriors, compare models (LOO/WAIC), predict. Hierarchical, logistic, GP model variants. Prior/posterior predictive checks."
cellpose-cell-segmentation
by jaechang-hits
"Deep learning cell and nucleus segmentation from fluorescence and brightfield microscopy images. Uses pre-trained models (cyto3, nuclei, tissuenet) and a generalist flow-based algorithm that segments cells without requiring retraining on new image types. Outputs label masks for downstream morphology measurement and tracking. Use scikit-image watershed for rule-based segmentation; use Cellpose when deep learning generalization across staining conditions is needed."
deseq2-differential-expression
by jaechang-hits
"Differential expression analysis for bulk RNA-seq using R/Bioconductor DESeq2. Negative binomial GLM with empirical Bayes shrinkage, Wald and LRT tests, multi-factor designs, interaction terms, Salmon tximeta import, apeglm LFC shrinkage, MA/volcano/heatmap visualization. The R gold standard for DE analysis with native Bioconductor integration. Use pydeseq2-differential-expression for Python-based pipelines; use edgeR for TMM normalization."
scikit-survival-analysis
by jaechang-hits
"Survival analysis and time-to-event modeling with scikit-survival. Cox proportional hazards (standard/elastic net), Random Survival Forests, Gradient Boosting, SVMs for censored data. C-index (Harrell/Uno), Brier score, time-dependent AUC evaluation. Kaplan-Meier, Nelson-Aalen, competing risks. scikit-learn Pipeline/GridSearchCV compatible. For frequentist regression use statsmodels; for Bayesian survival use pymc; for simpler parametric models use lifelines."
organizational-transformation
by RefoundAI
Help users transform organizations toward modern product practices. Use when someone is trying to shift from feature teams to product teams, introduce empowered teams, modernize legacy processes, or drive cultural change in how product is built.
circleci-automation
by aAAaqwq
"Automate CircleCI tasks via Rube MCP (Composio): trigger pipelines, monitor workflows/jobs, retrieve artifacts and test metadata. Always search tools first for current schemas."
ai-model-web
by TencentCloudBase
Use this skill when developing browser/Web applications (React/Vue/Angular, static websites, SPAs) that need AI capabilities. Features text generation (generateText) and streaming (streamText) via @cloudbase/js-sdk. Built-in models include Hunyuan (hunyuan-2.0-instruct-20251111 recommended) and DeepSeek (deepseek-v3.2 recommended). NOT for Node.js backend (use ai-model-nodejs), WeChat Mini Program (use ai-model-wechat), or image generation (Node SDK only).
ai-elements
by laguagu
AI Elements component library for AI-native applications. Use when building chatbots, AI workflows, or integrating with Vercel AI SDK's useChat hook.
transcribe-tool
by xuiltul
Audio transcription tool. Convert audio files to text using Whisper models. "transcribe" "speech to text" "whisper" "STT" "audio"
script-evaluator
by GongLingRui
从思想性、艺术性、观赏性三维度评估影视剧本并打分。适用于剧本开发质量评估、修改方向确定、项目立项前审查
time-series-analysis
by nimrodfisher
Temporal pattern detection and forecasting. Use when analyzing trends over time, detecting seasonality, identifying anomalies in time series, or building simple forecasting models.
building-with-llms
by RefoundAI
Help users build effective AI applications. Use when someone is building with LLMs, writing prompts, designing AI features, implementing RAG, creating agents, running evals, or trying to improve AI output quality.
animaworks-guide
by xuiltul
Complete reference for animaworks commands and CLI. Covers server operations (start/stop/restart/status/reset), chat and messaging (chat/send/board), Anima management (list/info/create/enable/disable/delete/restart/set-model/set-role/reload/audit), model information (models list/info/show), heartbeat/cron, logs/cost, task management (task add/update/list), config management (config get/set/list), RAG index management (index), asset operations (optimize-assets/remake-assets), animaworks-tool external tool execution, and background task monitoring (check_background_task/list_background_tasks). "command", "usage", "CLI", "animaworks", "start", "stop", "restart", "send", "create Anima", "change role", "change model", "status", "info", "model list", "model info", "logs", "cost", "task", "config", "background task", "task status"
image-gen-tool
by xuiltul
Image and 3D model generation tool. Character fullbody, bustup, chibi, and 3D model generation. NovelAI/Flux/Meshy support. "image generation" "fullbody" "bustup" "chibi" "3D model" "avatar"
typescript-magician
by mcollina
TypeScript wizard specializing in advanced type systems, complex generics, and eliminating any types
jupyter
by OpenHands
Read, modify, execute, and convert Jupyter notebooks programmatically. Use when working with .ipynb files for data science workflows, including editing cells, clearing outputs, or converting to other formats.
react-native-executorch
by software-mansion-labs
Integrate on-device AI into React Native apps using React Native ExecuTorch, which provides APIs for LLMs, computer vision, OCR, audio processing, and embeddings without cloud dependencies, as well as a variety of pre-exported models for common use cases. Use when user asks to build AI features into mobile apps - AI chatbots, image classification, object detection, style transfer, OCR, document parsing, speech processing, or semantic search - all running locally without cloud dependencies. Use when user mentions offline support, privacy, latency or cost concerns in AI-based applications.
pycse
by jkitchin
Python computations in science and engineering (pycse) - helps with scientific computing tasks including nonlinear regression, uncertainty quantification, design of experiments (DOE), Latin hypercube sampling, surface response modeling, and neural network-based UQ with DPOSE. Use when working with numerical optimization, data fitting, experimental design, or uncertainty analysis.
napari-image-viewer
by jaechang-hits
"Interactive multi-dimensional image viewer for scientific microscopy data. Napari displays 2D/3D/4D arrays as Image, Labels, Points, Shapes, and Tracks layers; supports real-time annotation, plugin-based analysis, and headless screenshot export. Core visualization tool for bioimage analysis workflows. Use ImageJ/FIJI for macro-based processing; use napari for Python-native interactive visualization and plugin-based deep learning segmentation review."
subordinate-management
by xuiltul
Process management for subordinate Anima: pause, resume, model change, background model change, restart, task delegation, status confirmation, and auditing. "pause", "stop", "resume", "wake", "disable", "enable", "change model", "background model", "restart", "delegate task", "check subordinate status", "pause", "resume", "process management", "stop subordinate", "dashboard", "audit"
arboreto
by Microck
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.
development-harness
by Jamie-BitFlight
Language-agnostic development process orchestrator implementing SAM 7-stage pipeline with Voltron composition. Detects project language, resolves specialist roles from language plugin manifests, and orchestrates discovery through verification. Use when starting feature development, planning implementations, or running the full development workflow.
dtg-base
by unclecatvn
Complete reference for DTG Base module utilities and helpers. DTGBase is an abstract model providing common utility methods for date/time handling, barcode generation, timezone conversion, file operations, and more.
aws-strands
by hoodini
Build AI agents with Strands Agents SDK. Use when developing model-agnostic agents, implementing ReAct patterns, creating multi-agent systems, or building production agents on AWS. Triggers on Strands, Strands SDK, model-agnostic agent, ReAct agent.