ML Ops
Machine learning operations
oss-investment-scorecard
by el09xccxy-stack
Evaluate whether an open source project / company is investable by a USD-denominated VC fund in the current AI cycle. ALWAYS use this skill when the user asks any of the following: - "evaluate [project] for investment" - "can we invest in [project]" - "score this open source company" - "投资评估 [项目]" - "这个开源项目值得投吗" - "给 [公司] 打分" - Any request to assess, rate, or rank an open source startup's investability - Any comparison of two or more open source companies from an investment perspective The skill produces a structured 5-dimension weighted scorecard (max 10 pts), a pass/recommend/watch verdict, and an IC-ready one-paragraph thesis. It also flags one-vote-veto conditions that cause an immediate Pass regardless of total score.
arkit-visionos-developer
by tomkrikorian
Build and debug ARKit features for visionOS, including ARKitSession setup, authorization, data providers (world tracking, plane detection, scene reconstruction, hand tracking), anchor processing, and RealityKit integration. Use when implementing ARKit workflows in immersive spaces or troubleshooting ARKit data access and provider behavior on visionOS.
spatial-swiftui-developer
by tomkrikorian
Design and implement visionOS SwiftUI scenes that integrate RealityKit content. Use when building spatial UI with RealityView, Model3D, attachments, volumetric windows, ImmersiveSpace, or spatial gestures, or when choosing SwiftUI vs RealityKit APIs for 3D presentation.
skill-from-masters
by GBSOSS
通过真实案例创建高质量skill。先找黄金案例和失败案例，归纳什么有效什么无效，再用理论解释为什么。skill是干活的，要从实践中学习，不是从书本中学习。触发词："帮我创建一个skill"、"我想做一个skill来..."
openscad
by goncalossilva
"Create and render OpenSCAD 3D models. Generate preview images from multiple angles, extract customizable parameters, validate syntax, and export STL files for 3D printing platforms like Printables."
oracle
by goncalossilva
Get a second opinion by bundling a prompt + a curated file set, then asking another powerful LLM for debugging, refactor advice, design checks, or code reviews.
pal-mcp-server
by pacphi
AI orchestration and multi-model collaboration MCP server. Use when you need multi-model AI collaboration, code reviews, debugging assistance, planning, consensus building, or advanced reasoning across multiple AI providers (Gemini, OpenAI, Grok, Azure, Ollama, etc.).
Jupyter Notebooks
by pacphi
Comprehensive Jupyter notebook operations - create, execute, and analyze notebooks with full cell manipulation
PyTorch ML
by pacphi
Deep learning with PyTorch - model training, GPU acceleration, and data science workflows
azure-functions
by hainamchung
"Expert patterns for Azure Functions development including isolated worker model, Durable Functions orchestration, cold start optimization, and production patterns. Covers .NET, Python, and Node.js programming models. Use when: azure function, azure functions, durable functions, azure serverless, function app."
geo-infer-bayes
by ActiveInferenceInstitute
Bayesian inference and probabilistic modeling for geospatial data. Use when building hierarchical models, computing posteriors with PyMC or TFP, performing variational inference, model comparison (LOO/WAIC/DIC), or spatial Gaussian processes.
geo-infer-org
by ActiveInferenceInstitute
Organizational modeling for geospatial entities. Use when modeling organizational structures, spatial resource allocation, inter-organizational network analysis, or institutional spatial analysis for governance.
geo-infer-ai
by ActiveInferenceInstitute
Machine learning pipelines and model selection for geospatial AI. Use when training spatial ML models, building prediction pipelines, performing feature engineering on geographic data, or selecting between ML approaches for spatial problems.
geo-infer-risk
by ActiveInferenceInstitute
Geospatial risk modeling including catastrophe models, exposure analysis, and underwriting. Use when assessing spatial risk, building catastrophe models, analyzing exposure/hazard/vulnerability, or computing portfolio risk metrics.
geo-infer-ag
by ActiveInferenceInstitute
Precision agriculture and soil health modeling. Use when analyzing soil health, crop water usage (FAO-56), carbon sequestration (IPCC Tier 1), precision farming, or agricultural land management.
dojo-system
by dojoengine
Create Dojo systems that implement game logic, modify model state, and handle player actions. Use when implementing game mechanics, player commands, or automated logic.
dojo-review
by dojoengine
Review Dojo code for best practices, common mistakes, security issues, and optimization opportunities. Use when auditing models, systems, tests, or preparing for deployment.
dojo-model
by dojoengine
Create Dojo models for storing game state with proper key definitions, trait derivations, and ECS patterns. Use when defining game entities, components, or state structures.
dojo-test
by dojoengine
Write tests for Dojo models and systems using spawn_test_world, cheat codes, and assertions. Use when testing game logic, verifying state changes, or ensuring system correctness.
claudish-usage
by MadAppGang
CRITICAL - Guide for using Claudish CLI ONLY through sub-agents to run Claude Code with OpenRouter models (Grok, GPT-5, Gemini, MiniMax). NEVER run Claudish directly in main context unless user explicitly requests it. Use when user mentions external AI models, Claudish, OpenRouter, or alternative models. Includes mandatory sub-agent delegation patterns, agent selection guide, file-based instructions, and strict rules to prevent context window pollution.
Claudish Integration Skill
by MadAppGang
OpenRouter: https://openrouter.ai
openrouter-trending-models
by MadAppGang
Fetch trending programming models from OpenRouter rankings. Use when selecting models for multi-model review, updating model recommendations, or researching current AI coding trends. Provides model IDs, context windows, pricing, and usage statistics from the most recent week.
docker-2025-features
by JosiahSiegel
Latest Docker 2025 features including AI Assistant, Enhanced Container Isolation, and Moby 25
acorn-prover
by openclaw
"Verify and write proofs using the Acorn theorem prover for mathematical and cryptographic formalization. Use when working with Acorn proof files (.ac), verifying theorems, formalizing mathematical or cryptographic protocols, or writing proofs in the Acorn language. Triggers on: (1) Creating or editing .ac files, (2) Running acorn verify commands, (3) Formalizing math or crypto proofs, (4) Questions about Acorn syntax or standard library."