ML Ops
Machine learning operations
four-fits
by breethomas
Find which fit is broken before you burn cash scaling. Brian Balfour's framework for validating sustainable growth readiness.
matlab-deep-learning
by rrmaram2000
"MATLAB Deep Learning Toolbox. Functions - trainNetwork, trainnet, trainingOptions, unetLayers, unet, deeplabv3plusLayers, deeplabv3plus, semanticseg, yolov4ObjectDetector, fasterRCNNObjectDetector, maskrcnn, resnet50, vgg16, efficientnetb0, dlarray, dlfeval, dlgradient, adamupdate, dlnetwork, imageDatastore, augmentedImageDatastore, minibatchqueue. Tasks - train a deep learning model, classify medical images, build a CNN classifier, segment tumors or organs, detect objects or nodules in images, fine-tune a pretrained network, set up transfer learning, create a U-Net for segmentation, train with custom loss function, augment training data, deploy model to ONNX, run training on GPU, build a 3D volumetric network, compare model architectures, improve training accuracy, reduce overfitting, handle class imbalance. Domains - MRI, CT, X-ray, PET, histopathology, dermatology, retinal imaging, cell detection, medical image classification, lesion segmentation, nodule detection, pathology grading."
business-plan
by JK-0001
Write, structure, and update a business plan for a solopreneur. Use when creating a plan from scratch, updating an existing plan after a pivot or new phase, or preparing a plan to share with investors, partners, or even just to clarify your own strategy. Covers executive summary, market analysis, competitive positioning, revenue model, operations plan, financial projections, and risk assessment — all adapted for a one-person business. Trigger on "write a business plan", "business plan", "create my plan", "business plan template", "update my business plan", "plan for my business", "investor pitch plan".
ai-cost-check
by breethomas
Calculate AI feature costs and challenge if you actually need it. Invokes ai-cost-analyzer agent for detailed economics modeling.
ai-health-check
by breethomas
Pre-launch health check that blocks you from shipping broken AI features. Grades 6 dimensions (model selection, data quality, cost, monitoring, failure UX, optimization).
business-model-canvas
by JK-0001
Build, fill, stress-test, and iterate on a Business Model Canvas for a solopreneur. Use when designing or redesigning how a business creates, delivers, and captures value — covering all nine BMC blocks plus solopreneur-specific adaptations like the "Time & Energy" block and unit economics validation. Trigger on "business model canvas", "design my business model", "how will I make money", "business model", "BMC", "value proposition canvas", "how does my business work", "monetize my idea".
critical-business-brief
by Przemocny
Create critical business briefs through challenging dialogue that validates ideas and stress-tests assumptions. Use when user presents business ideas, wants to explore concepts, mentions starting a business, or needs business validation. Conducts realistic, skeptical conversations to expose weaknesses and creates structured business briefs in .ideas/ folder. Triggers include "I have a business idea", "business opportunity", "startup idea", or "validate this concept".
pm-frameworks
by breethomas
Expert knowledge of proven product management frameworks for discovery, growth, measurement, planning, and AI-era practices.
sales-funnel-design
by JK-0001
Design and optimize a sales funnel for a solopreneur business. Use when mapping how customers move from first awareness to paying customer, identifying where leads drop off, building or improving any stage of the funnel (awareness, consideration, decision, retention), or optimizing conversion rates. Covers funnel architecture, stage-by-stage tactics, conversion benchmarks, solopreneur-specific funnel models (self-serve vs. high-touch), and funnel analytics. Trigger on "sales funnel", "design my funnel", "optimize my funnel", "conversion funnel", "why aren't people buying", "lead to customer", "funnel stages", "improve conversions".
matlab-stats-ml
by rrmaram2000
"MATLAB Statistics and Machine Learning Toolbox. Functions - fitcsvm, fitctree, fitcensemble, fitcknn, fitcnb, fitcnet, fitlm, fitglm, fitrgp, fitrensemble, lasso, kmeans, linkage, fitgmdist, dbscan, pca, tsne, factoran, ttest, ttest2, anova1, anovan, ranksum, chi2gof, fitdist, makedist, mle, ecdf, coxphfit, cvpartition, crossval, kfoldLoss, perfcurve, confusionchart, bayesopt, shapley, normalize. Tasks - run t-test or ANOVA, fit distributions, classify patients, train SVM or random forest, predict with regression, cluster data, reduce dimensions with PCA or t-SNE, cross-validate, compute ROC and AUC, select features, optimize hyperparameters, analyze survival data, plot Kaplan-Meier curves, handle missing data, interpret with SHAP or LIME. Domains - biomarker discovery, clinical trials, patient outcome prediction, diagnostic classification, gene expression, proteomics, epidemiology, survival analysis, treatment comparison."
sqlmesh
by jpoutrin
SQLMesh patterns for data transformation with column-level lineage and virtual environments. Use when building data pipelines that need advanced features like automatic DAG inference and efficient incremental processing.
vercel-ai-sdk
by wsimmonds
Guide for Vercel AI SDK v5 implementation patterns including generateText, streamText, useChat hook, tool calling, embeddings, and MCP integration. Use when implementing AI chat interfaces, streaming responses, tool/function calling, text embeddings, or working with convertToModelMessages and toUIMessageStreamResponse. Activates for AI SDK integration, useChat hook usage, message streaming, or tool calling tasks.
summarise-paper
by phira-ai
Use when tasks involve reading and summarising an academic paper from either a PDF file or an arXiv URL. If the input is a PDF, convert it to images for accurate reading (equations/figures). If the input is an arXiv URL, download the LaTeX source to read. Output the summary as a standalone LaTeX file.
learning-first-principles
by hexbee
"A cognitive framework based on learning first principles, providing learning method diagnosis, efficiency assessment, and optimization advice. Use when: (1) Diagnosing if current learning methods align with first principles, (2) Evaluating learning plan efficiency and time investment, (3) Analyzing learning behavior problems and providing improvement suggestions, (4) Determining if learning content is worth the time investment. Core principle chain: Self-learning → Induction → Self-output → Expression restructuring → Logical understanding → Practice."
mungers-lattice
by hexbee
Multidisciplinary analytical engine using Charlie Munger's latticework of mental models. Applies cross-disciplinary thinking (math, physics, biology, psychology, economics) to dissect life and business decisions. Use when user presents a decision problem, investment question, or complex analysis request requiring deep rational analysis.
ai-model-cascade
by vishalsachdev
A production-ready pattern for integrating AI models (specifically Google Gemini) with automatic fallback, retry logic, structured output via Zod schemas, and comprehensive error handling. Use when integrating AI/LLM APIs, need automatic fallback when models are overloaded, want type-safe structured responses, or building features requiring reliable AI generation.
china-model-selection-guide
by hexbee
China model selection and task-routing guide for Doubao-Seed-2.0-Code, GLM-5, MiniMax-M2.5, and Kimi-K2.5. Use when users need to choose the best-fit model by input type, task complexity, engineering constraints, and delivery goals, including staged multi-model workflows.
ai-judge
by reguorier
Local-first multi-model AI jury system with v3.3 fixed persona seats, evidence tracing, and dissent. Query 9 AI seats, score claims with auditable functions, detect bluff risk and echo-chamber consensus, profile cognitive proxy signals, render reasoning trees, and keep final authority with the human.
gemini-imagegen
by drshailesh88
Generate and edit images using the Gemini API (Nano Banana Pro). Use this skill when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating stickers, product mockups, or any image generation/manipulation task. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.
perplexity-search
by drshailesh88
Perform AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter. This skill should be used when conducting web searches for current information, finding recent scientific literature, getting grounded answers with source citations, or accessing information beyond the model's knowledge cutoff. Provides access to multiple Perplexity models including Sonar Pro, Sonar Pro Search (advanced agentic search), and Sonar Reasoning Pro through a single OpenRouter API key.
bayesian-estimation
by James-Traina
Guide for Bayesian estimation and inference in quantitative social science. Use when the user is specifying priors, running MCMC, diagnosing chain convergence, or reporting posterior summaries — including hierarchical models, Bayesian structural models, and small-sample settings where priors regularize. Triggers on "Bayesian estimation", "Bayesian inference", "MCMC", "Markov chain Monte Carlo", "Stan", "PyMC", "NumPyro", "prior", "posterior", "credible interval", "Bayesian structural", "Bayesian BLP", "Bayesian DSGE", "hierarchical model", "random effects Bayesian", "posterior predictive check", "Bayes factor", "prior predictive check", "NUTS", "HMC", "Hamiltonian Monte Carlo", "R-hat", "rhat", "effective sample size", "ESS", "Bayesian calibration", "posterior distribution", "prior elicitation", "weakly informative prior", "brms", "rstanarm", "cmdstanpy", "pymc", "arviz".
Knowledge Pipeline Skill
by drshailesh88
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compound-catalog
by James-Traina
Capture solved research problems as categorized documentation with YAML frontmatter for fast lookup. Use when a methodological, estimation, or data problem has been solved and should be documented for future reference. Triggers on "that worked", "it's fixed", "problem solved", "estimation converges now", "proof is complete", "pipeline runs", or when /workflows:compound invokes solution documentation. Also triggered by "document this solution", "save this fix", "log this resolution".
multi-model-writer
by drshailesh88
"Unified writing system with intelligent model routing. Default: Claude. Options: GLM-4.7 (cheapest), GPT-4o/mini, Gemini, Grok. Includes browser automation for web interfaces. Cost-aware routing based on task complexity."