ML Ops
Machine learning operations
flyway-migration
by martinellich
Creates versioned Flyway database migration scripts (V*.sql) with sequences, tables, constraints, and foreign keys from the entity model. Use when the user asks to "create a migration", "generate SQL scripts", "set up database tables", "write a Flyway migration", or mentions schema migration, DB migration, database versioning, or SQL migration files.
optimize-prompt
by jbrukh
Optimize a prompt through a critique-compress pipeline with semantic equivalence verification at each stage. Applies think-critically to improve the prompt, then compress-prompt to reduce it, validating that behavior is preserved after each transformation.
write-article
by jbrukh
Write accessible, engaging op-ed-style articles in the Brukhman voice, authoritative but conversational, technically grounded, with progressive narrative structure.
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.
scanpy
by tondevrel
Scalable toolkit for analyzing single-cell gene expression data. Built on top of Anndata, focusing on clustering, trajectory inference, and visualization.
pytorch-deployment
by tondevrel
Advanced sub-skill for PyTorch focused on model productionization and deployment. Covers TorchScript (JIT/Tracing), ONNX export, LibTorch (C++ API), and inference optimization (Quantization, Pruning).
pytorch-research
by tondevrel
Advanced sub-skill for PyTorch focused on deep research and production engineering. Covers custom Autograd functions, module hooks, advanced initialization, Distributed Data Parallel (DDP), and performance profiling.
photutils
by tondevrel
An Astropy coordinated package for detecting and performing photometry of astronomical sources. Provides tools for background estimation, source detection (DAOFIND, IRAF), aperture photometry, and PSF (Point Spread Function) fitting. Use when working with astronomical image analysis, star/galaxy detection, measuring brightness (photometry), background subtraction, PSF fitting, aperture photometry, centroiding, or isophotal analysis.
cobrapy
by tondevrel
Constraints-Based Reconstruction and Analysis for Python. Used for modeling large-scale metabolic networks in microorganisms.
summarize
by goldengrape
Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).
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".
apple-foundation-models
by ios-agent
Use this skill when working with Apple's Foundation Models framework for on-device AI and LLM capabilities in iOS/macOS apps
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".
Financial Analysis
by zircote
This skill should be used when the user asks to "analyze financials", "revenue model", "unit economics", "pricing analysis", "cost structure", "profitability analysis", "financial projections", "business model economics", or needs guidance on financial metrics, revenue analysis, or economic viability assessment.
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".
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".
ai-sdk-6-skills
by gocallum
AI SDK 6 Beta overview, agents, tool approval, Groq (Llama), and Vercel AI Gateway. Key breaking changes from v5 and new patterns.
ci-cd-pipelines
by Logos-Liber
GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps, build and test strategies, and deployment patterns
mlops-pipelines
by Logos-Liber
Model deployment strategies, monitoring and drift detection, CI/CD for ML models, feature store concepts, and model versioning
ml-best-practices
by Logos-Liber
Model selection guidelines, feature engineering techniques, hyperparameter tuning strategies, evaluation metrics, and common ML frameworks
frontend-design
by b1rdmania
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
genai-services
by acedergren
Use when implementing OCI GenAI inference APIs, troubleshooting rate limits or token errors, optimizing GenAI costs, or handling sensitive data (PHI/PII) in prompts. Covers model selection, cost calculations, token management, response validation, and healthcare/compliance considerations.
config-management
by cklxx
配置管理 — 查询/修改 agent 配置参数（YAML 配置文件）。
backend-data-model
by parhumm
Generate data model docs with tables, constraints, indexes, retention, and migration notes. Use when designing database schemas from entities.