MLOps
Operacions d’aprenentatge automàtic
explore-dnn-model
igamenovoer
Manual invocation only; use only when the user explicitly requests explore-dnn-model by name. Explore how to run a given DNN model checkpoint in the current Python environment by locating weights + upstream source code, resolving dependencies with user confirmation, running reproducible experiments under tmp/, and producing reports about I/O contracts, timing, and profiling.
context-engineering
Zpankz
Understand the components, mechanics, and constraints of context in agent systems. Use when writing, editing, or optimizing commands, skills, or sub-agents prompts.
matlab-medical-imaging-toolbox
rrmaram2000
"MATLAB Medical Imaging Toolbox. Functions - medicalVolume, dicomread, dicominfo, dicomCollection, niftiread, niftiinfo, nrrdread, medicalref3d, intrinsicToWorld, worldToIntrinsic, volshow, sliceViewer, imregmoment, imregdeform, imregtform, radiomics, intensityFeatures, shapeFeatures, textureFeatures, medicalSegmentAnythingModel, segmentCells2D, dicomConnection, dicomquery, dicomget. Tasks - load medical scans, read DICOM series, open NIfTI or NRRD files, convert patient and voxel coordinates, visualize 3D volumes, overlay segmentation, align MRI or CT scans, register pre and post treatment images, extract radiomics features, segment with MedSAM or Cellpose, connect to PACS server, label ground truth, resample to isotropic spacing. Domains - DICOM, NIfTI, NRRD, MRI, CT, PET, PET/CT fusion, ultrasound, X-ray, brain imaging, liver segmentation, cardiac imaging, lung nodules, tumor analysis, clinical workflows, PACS integration."
pricing-strategy
JK-0001
Price a product or service for a solopreneur business. Use when deciding how much to charge, choosing between pricing models, structuring tiers, handling price objections, and adjusting prices over time. Covers value-based pricing, competitor benchmarking, psychological pricing tactics, pricing tiers design, and price testing. Trigger on "how should I price this", "pricing strategy", "what should I charge", "pricing tiers", "am I undercharging", "pricing model", "how to price my product", "raise my prices".
revenue-model-design
JK-0001
Design a revenue model for a solopreneur business â how money flows in, from whom, and on what cadence. Use when deciding how to monetize a product or service, choosing between revenue streams, structuring recurring vs one-time income, or diversifying revenue. Covers all major revenue model types, selection criteria, revenue stream stacking, and the relationship between revenue model and product design. Trigger on "how will I make money", "revenue model", "monetization strategy", "revenue streams", "recurring revenue", "how to monetize", "business revenue model", "diversify income".
context-engineering
breethomas
"[ARCHIVED] Full 4D Context Canvas reference. For new AI features, use /spec --ai. For debugging, use /ai-debug. For quality checks, use /context-check."
four-fits
breethomas
Find which fit is broken before you burn cash scaling. Brian Balfour's framework for validating sustainable growth readiness.
matlab-deep-learning
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
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
breethomas
Calculate AI feature costs and challenge if you actually need it. Invokes ai-cost-analyzer agent for detailed economics modeling.
ai-health-check
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
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
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
breethomas
Expert knowledge of proven product management frameworks for discovery, growth, measurement, planning, and AI-era practices.
sales-funnel-design
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
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
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
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
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
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
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
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
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
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.