MLOps
模型部署、评估与运维
development-pipeline
popup-studio-ai
9-phase Development Pipeline complete knowledge. Use when user doesn't know development order or starts a new project from scratch. Use proactively when user asks about development order, phases, what to do first, or starts a new project without clear direction. Triggers: development pipeline, phase, development order, where to start, what to do first, how to begin, new project, 개발 파이프라인, 뭐부터, 어디서부터, 순서, 시작, 開発パイプライン, 何から, どこから, 开发流程, 从哪里开始, pipeline de desarrollo, fase, orden de desarrollo, por dónde empezar, qué hacer primero, pipeline de développement, phase, ordre de développement, par où commencer, que faire d'abord, Entwicklungspipeline, Phase, Entwicklungsreihenfolge, wo anfangen, was zuerst tun, pipeline di sviluppo, fase, ordine di sviluppo, da dove iniziare, cosa fare prima Do NOT use for: ongoing implementation, existing feature work, or bug fixes.
laravel-migrations-and-factories
noartem
Safe database change patterns; when to modify vs add migrations; always pair models with migrations and factories; seeding guidance
AgentDB Learning Plugins
Microck
"Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience."
dotfile-audit
harperreed
Use when you have an existing pipeline DOT file that needs review, fixing, or validation. Use when validation produces warnings or errors, when a DOT file was hand-written or generated by another tool, or when you want to verify a pipeline covers 100% of a spec before running it.
Hugging Face
imoonkey
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jk
avivsinai
Jenkins CLI for controllers. Use when users need to manage jobs, pipelines, runs, logs, artifacts, credentials, nodes, or queues in Jenkins. Triggers include "jenkins", "jk", "pipeline", "build", "run logs", "job list", "jenkins credentials", "jenkins node".
convert-elm-clojure
aRustyDev
Convert Elm code to idiomatic Clojure. Use when migrating Elm frontend applications to Clojure/ClojureScript, translating The Elm Architecture to Clojure patterns, or refactoring type-safe functional code to dynamic functional style. Extends meta-convert-dev with Elm-to-Clojure specific patterns.
convert-elm-scala
aRustyDev
Bidirectional conversion between Elm and Scala. Use when migrating projects between these languages in either direction. Extends meta-convert-dev with Elm↔Scala specific patterns. Use when migrating Elm frontend applications to Scala backends or full-stack Scala, translating The Elm Architecture to functional Scala patterns, or refactoring type-safe functional code from compile-time guarantees to more powerful type system features. Extends meta-convert-dev with Elm-to-Scala specific patterns.
visionos-design-guidelines
ehmo
Apple Human Interface Guidelines for Apple Vision Pro. Use when building spatial computing apps, implementing eye/hand input, or designing immersive experiences. Triggers on tasks involving visionOS, RealityKit, spatial UI, or mixed reality.
MLOps Industrialization
fmind
Guide to transform prototypes into robust, distributable Python packages using the src layout, hybrid paradigm, and strict configuration management.
MLOps Initialization
fmind
Guide to initialize a new MLOps project with standard tools (uv, git, VS Code) and best practices.
MLOps Observability
fmind
Guide to implement full stack observability including reproducibility, lineage, monitoring, alerting, and explainability.
MLOps Prototyping
fmind
Guide to create structured, reproducible Jupyter notebooks for MLOps prototyping, emphasizing configuration management and pipeline integrity.
MLOps Validation
fmind
Guide to implement rigorous validation layers including static analysis, automated testing, structured logging, and security scanning.
mlflow-onboarding
mlflow
Onboards users to MLflow by determining their use case (GenAI agents/apps or traditional ML/deep learning) and guiding them through relevant quickstart tutorials and initial integration. If an experiment ID is available, it should be supplied as input to help determine the use case. Use when the user asks to get started with MLflow, set up tracking, add observability, or integrate MLflow into their project. Triggers on "get started with MLflow", "set up MLflow", "onboard to MLflow", "add MLflow to my project", "how do I use MLflow".
openscad
mitsuhiko
"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 MakerWorld."
dart-io
dartsim
DART model loading - URDF, SDF, MJCF, SKEL parsers and dart::io unified API
pydantic-ai-common-pitfalls
existential-birds
Avoid common mistakes and debug issues in PydanticAI agents. Use when encountering errors, unexpected behavior, or when reviewing agent implementations.
concise
forcedotcom
when creating/modifying md files in skills/rules for AI
security-audit
cosmix
Performs comprehensive security audits identifying vulnerabilities, misconfigurations, and security best practice violations across applications, APIs, infrastructure, and data pipelines. Covers OWASP Top 10, compliance requirements (SOC2, PCI-DSS, HIPAA, GDPR), penetration testing, vulnerability assessment, risk assessment, security reviews, and hardening. Trigger keywords: security audit, vulnerability assessment, penetration test, pentest, OWASP, CVE, security review, risk assessment, compliance, SOC2, PCI-DSS, HIPAA, GDPR, security checklist, threat modeling, attack surface, security posture, vulnerability scan, security hardening, security baseline, security controls, security gap analysis, infrastructure security, API security, cloud security, container security, Kubernetes security, network security, application security, data security, ML model security.
python
cosmix
Python language expertise for writing idiomatic, production-quality Python code. Covers web frameworks (FastAPI, Django, Flask), data processing (pandas, numpy, dask), ML patterns (sklearn, pytorch), async programming, type hints, testing with pytest, packaging (pip, uv, poetry), linting (ruff, mypy, black), and PEP 8 standards. Use for any Python development including data engineering and machine learning workflows. Triggers: python, py, pip, uv, poetry, virtualenv, pytest, pydantic, fastapi, django, flask, pandas, numpy, dataclass, type hints, asyncio, mypy, ruff, black, sklearn, pytorch, tensorflow, jupyter, pipenv, conda.
ci-cd
cosmix
Designs and implements CI/CD pipelines for automated testing, building, deployment, and security scanning across multiple platforms. Covers pipeline optimization, test integration, artifact management, and release automation.
Classification Modeling
aj-geddes
Build binary and multiclass classification models using logistic regression, decision trees, and ensemble methods for categorical prediction and classification
project-development
guanyang
This skill should be used when the user asks to "start an LLM project", "design batch pipeline", "evaluate task-model fit", "structure agent project", or mentions pipeline architecture, agent-assisted development, cost estimation, or choosing between LLM and traditional approaches.