MLOps
模型部署、评估与运维
dlt-skill
untitled-data-company
Creates and maintains dlt (data load tool) pipelines from APIs, databases, and other sources. Use when the user wants to build or debug pipelines; use verified sources (e.g. Salesforce, GitHub, Stripe) or declarative REST API or custom Python; configure destinations (e.g. DuckDB, BigQuery, Snowflake); implement incremental loading; or edit .dlt config and secrets. Use when the user mentions data ingestion, dlt pipeline, dlt init, rest_api_source, incremental load, or pipeline dashboard.
grepai-embeddings-lmstudio
yoanbernabeu
Configure LM Studio as embedding provider for GrepAI. Use this skill for local embeddings with a GUI interface.
grepai-embeddings-openai
yoanbernabeu
Configure OpenAI as embedding provider for GrepAI. Use this skill for high-quality cloud embeddings.
scanpy
tondevrel
Scalable toolkit for analyzing single-cell gene expression data. Built on top of Anndata, focusing on clustering, trajectory inference, and visualization.
pytorch-deployment
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
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
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
tondevrel
Constraints-Based Reconstruction and Analysis for Python. Used for modeling large-scale metabolic networks in microorganisms.
pyomo
tondevrel
Python Optimization Modeling Objects. A high-level framework for formulating, solving, and analyzing optimization models. Supports Linear Programming (LP), Mixed-Integer Linear Programming (MILP), and Non-Linear Programming (NLP). Part of the COIN-OR project. Use for mathematical optimization, linear programming, mixed-integer programming, non-linear programming, strategic planning, process engineering, energy systems, supply chain optimization, stochastic programming, and solver integration with IPOPT, SCIP, Gurobi, CPLEX, or GLPK.
fastapi-streamlit
tondevrel
Dual skill for deploying scientific models. FastAPI provides a high-performance, asynchronous web framework for building APIs with automatic documentation. Streamlit enables rapid creation of interactive data applications and dashboards directly from Python scripts. Load when working with web APIs, model serving, REST endpoints, interactive dashboards, data visualization UIs, scientific app deployment, async web frameworks, Pydantic validation, uvicorn, or building production-ready scientific tools.
Apple Foundation Models
Eyadkelleh
Use this skill when working with Apple's Foundation Models framework for on-device AI and LLM capabilities in iOS/macOS apps
pytorch
tondevrel
Leading deep learning framework. Provides Tensors and Dynamic Computational Graphs with strong GPU acceleration. Widely used for research, neural networks, and differentiable programming.
monetizing-innovation
wdavidturner
Use when asked about "pricing strategy", "willingness to pay", "value metric", "packaging tiers", "good better best pricing", "subscription vs usage pricing", or "price before product". Helps design products customers will pay for and choose pricing models that capture value. Based on Madhavan Ramanujam's Monetizing Innovation framework from Simon-Kucher.
hooked-model
wdavidturner
Use when asked to "build habit-forming products", "Hooked model", "trigger action reward investment", "create sticky behavior loops", or "design habit loops". Helps design products that form unprompted user habits. The Hooked Model (created by Nir Eyal) explains how products create habits through Trigger, Action, Variable Reward, and Investment.
product-led-growth
wdavidturner
Use when asked about "product-led growth", "PLG strategy", "self-serve growth", "freemium model", "free trial design", "product-led sales", "PQL", or "bottoms-up growth". Helps design and optimize product-led growth motions where the product drives acquisition, activation, and monetization. Based on frameworks from Elena Verna and Hila Qu.
growth-loops
wdavidturner
Use when asked to "growth loops", "build a growth engine", "design a viral loop", "create a content loop", "move beyond paid acquisition", or "why isn't growth compounding". Helps design self-reinforcing growth systems where output becomes input. The Growth Loops framework (from Brian Balfour / Reforge and Elena Verna) shifts thinking from linear funnels to compounding loops.
ortools
tondevrel
Google Optimization Tools. An open-source software suite for optimization, specialized in vehicle routing, flows, integer and linear programming, and constraint programming. Features the world-class CP-SAT solver. Use for vehicle routing problems (VRP), scheduling, bin packing, knapsack problems, linear programming (LP), integer programming (MIP), network flows, constraint programming, combinatorial optimization, resource allocation, shift scheduling, job-shop scheduling, and discrete optimization problems.
growth-modeling
SkeneTechnologies
When the user wants to build quantitative growth models -- including loop-based models, sensitivity analysis, revenue forecasting, or unit economics. Also use when the user says "growth forecast," "revenue model," "CAC LTV," "growth projections," or "financial model." For growth loops, see growth-loops. For PLG metrics, see plg-metrics.
ClawdStrike
cantinaxyz
"Security audit and threat model for OpenClaw gateway hosts. Use to verify OpenClaw configuration, exposure, skills/plugins, filesystem hygiene, and to produce an OK/VULNERABLE report with evidence and fixes."
plg-strategy
SkeneTechnologies
When the user wants to assess PLG readiness, design a product-led growth strategy, choose between freemium and free trial, evaluate PLG maturity, or plan a hybrid PLG + sales model. Also use when the user says "should we do PLG," "PLG vs sales-led," "growth motions," "PLG audit," or "go-to-market strategy." For specific mental models, see plg-mental-models. For growth loop design, see growth-loops.
rusty-page-indexer
Algiras
High-performance semantic indexing and retrieval of local PDF and Markdown files with multi-repo support.
Article Pipeline
0xAxiom
Ratio: 5:2 (1250x500px) for X Articles
plg-mental-models
SkeneTechnologies
When the user needs mental models or frameworks for PLG decisions -- including product-channel fit, time-to-value, network effects, habit loops, or pricing psychology. Also use when the user asks "what framework should I use," "how should I think about this," or references a specific model like "adjacent user theory" or "bowling alley framework." For comprehensive PLG strategy, see plg-strategy. For growth loops, see growth-loops.
usage-based-pricing
SkeneTechnologies
When the user wants to design or implement usage-based, consumption, or metered pricing -- including credit systems, overage handling, or billing infrastructure. Also use when the user says "pay per use," "metered billing," "credit system," "usage pricing," or "consumption pricing." For broader pricing strategy, see pricing-strategy. For expansion, see expansion-revenue.