ML Ops
Machine learning operations
hummbl-framework
by hummbl-dev
Complete HUMMBL Base120 mental models framework with all 120 models across 6 transformations (Perspective, Inversion, Composition, Decomposition, Recursion, Meta-Systems). Includes model selection guidance, application methodology, and validation checklist. Version 1.0-beta definitive reference.
context-degradation
by ken-cavanagh-glean
Recognize, diagnose, and mitigate patterns of context degradation in agent systems. Use when context grows large, agent performance degrades unexpectedly, or debugging agent failures.
avoid-unnecessary-type-params
by marius-townhouse
Use when writing generic functions or types. Use when reviewing type signatures. Use when a type parameter only appears once. Use when tempted to add generics for "flexibility".
MLflow Tracking Skill
by vivekgana
Databricks MLflow Guide
devops-deployer
by ajianaz
Comprehensive DevOps and deployment workflow that orchestrates infrastructure automation, CI/CD pipelines, container orchestration, and cloud deployment. Handles everything from infrastructure as code and pipeline setup to monitoring, scaling, and disaster recovery.
packlets
by dtinth
Learn the rules of packlets for managing a JavaScript/TypeScript project. Use this skill whenever a user mentions packlets or when working in a project with packlets (src/packlets) directory.
portkey-python-sdk
by Portkey-AI
Complete reference for the Portkey AI Gateway Python SDK with unified API access to 200+ LLMs, automatic fallbacks, caching, and full observability. Use when building Python applications that need LLM integration with production-grade reliability.
enterprise-code-architect
by ahmed6ww
Expert guidance on system design, repository strategy (Monorepo vs Polyrepo), and architectural patterns (Hexagonal, Clean, Onion) for scaling to 100M+ users.
自运行量化交易系统（Machine Learning Driven Quant Trading System）
by 1WangToby
重大更新： skill_finance_analysis 作为 submodule 引入到 tools/tool_finance_analysis，ZIP 安装自动包含工具库，无需额外克隆
east-py-datascience
by elaraai
"Data science and machine learning platform functions for the East language (TypeScript types). Use when writing East programs that need optimization (MADS, Optuna, SimAnneal, Scipy, Optimization, GoogleOr), machine learning (XGBoost, LightGBM, NGBoost, Torch MLP, Lightning, GP), Bayesian inference (PyMC), simulation (Simulation DES), ML utilities (Sklearn preprocessing, metrics, splits), conformal prediction (MAPIE), or model explainability (SHAP). Triggers for: (1) Writing East programs with @elaraai/east-py-datascience, (2) Derivative-free optimization with MADS, (3) Bayesian optimization with Optuna, (4) Discrete/combinatorial optimization with SimAnneal, (5) Gradient boosting with XGBoost or LightGBM, (6) Probabilistic predictions with NGBoost or GP, (7) Neural networks with Torch MLP or Lightning, (8) Data preprocessing and metrics with Sklearn, (9) Conformal prediction intervals with MAPIE, (10) Model explainability with Shap, (11) Iterative coordinate descent with Optimization, (12) Constraint programming, vehicle routing, LP/MIP, or graph algorithms with GoogleOr, (13) Bayesian regression, hierarchical models, and multi-layer estimation with PyMC, (14) Economic ontology simulation via discrete event simulation with Simulation."
ai-vision
by httprunner
Multimodal UI understanding and single-step planning via OpenAI-compatible Responses APIs. Use when you need AIQuery/AIAssert and plan-next to extract UI element coordinates, validate UI assertions, summarize screenshots, or decide the next UI action from an image. External agents handle execution via adb/hdc and multi-step loops. Defaults to Doubao models but can be pointed at other multimodal providers via base URL, API key, and model name.
kgz — Execute Code on Kaggle Kernels (GPU & TPU)
by mlnomadpy
Dep: websocket-client
ai-vision-go
by httprunner
Multimodal UI understanding and single-step planning via OpenAI-compatible Responses APIs. Use when you need AIQuery/AIAssert and plan-next to extract UI element coordinates, validate UI assertions, summarize screenshots, or decide the next UI action from an image. External agents handle execution via adb/hdc and multi-step loops. Defaults to Doubao models but can be pointed at other multimodal providers via base URL, API key, and model name.
deepagents-overview
by christian-bromann
Understanding Deep Agents framework - what they are, how to create them with createDeepAgent, and the agent harness architecture with built-in middleware for planning, filesystems, and subagents.
Agentic Orchestration for Oracle Cloud
by oci-ai-architects
Claude Code skills for OCI AI Architects. Community-led reference implementations and patterns.
understanding-db-schema
by C0ntr0lledCha0s
Deep expertise in Logseq's Datascript database schema. Auto-invokes when users ask about Logseq DB schema, Datascript attributes, built-in classes, property types, entity relationships, schema validation, or the node/block/page data model. Provides authoritative knowledge of the DB graph architecture.
implement-paper-from-scratch
by GhostScientist
Guides you through implementing a research paper step-by-step from scratch. Use when asked to implement a paper, code up a paper, reproduce research results, or build a model from a paper. Focuses on building understanding through implementation with checkpoint questions.
modal-deployment
by ferdousbhai
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch jobs, scheduling tasks, serving APIs with GPU acceleration, or scaling compute-intensive workloads. Triggers on requests for serverless GPU infrastructure, LLM inference, model training/fine-tuning, parallel data processing, cron jobs in the cloud, or deploying Python web endpoints.
continuous-monitoring
by pluginagentmarketplace
Real-time monitoring and detection of adversarial attacks and model drift in production
adversarial-training
by pluginagentmarketplace
Defensive techniques using adversarial examples to improve model robustness and security
swiftui-view-refactor
by dagba
Refactor and review SwiftUI view files for consistent structure, dependency injection, and Observation usage. Use when asked to clean up a SwiftUI view’s layout/ordering, handle view models safely (non-optional when possible), or standardize how dependencies and @Observable state are initialized and passed.
launch-gtm-execution
by pluginagentmarketplace
Master go-to-market strategy, launch planning and execution, sales enablement, and marketing campaigns. Execute successful product launches.
red-team-frameworks
by pluginagentmarketplace
Tools and frameworks for AI red teaming including PyRIT, garak, Counterfit, and custom attack automation
world-labs-text-prompt
by CloudAI-X
Text-to-world generation best practices, prompt structure, style descriptors