ML Ops
Machine learning operations
qwen3-tts-mlx
by AGISeek
Local Qwen3-TTS speech synthesis on Apple Silicon via MLX. Use for offline narration, audiobooks, video voiceovers, and multilingual TTS.
machine-learning
by pluginagentmarketplace
Supervised/unsupervised learning, model selection, evaluation, and scikit-learn. Use for building classification, regression, or clustering models.
delta-live-tables
by vivekgana
Delta Live Tables (DLT) pipeline patterns and examples for building declarative, self-healing data pipelines with automatic quality enforcement and lineage tracking.
did-core
by hairyf
W3C DID Core specification—DID/DID URL syntax, data model, core properties, verification methods, services, representations, and DID methods.
nlp-processing
by pluginagentmarketplace
Text processing, sentiment analysis, LLMs, and NLP frameworks. Use for text classification, named entity recognition, or language models.
deep-learning
by pluginagentmarketplace
Neural networks, CNNs, RNNs, Transformers with TensorFlow and PyTorch. Use for image classification, NLP, sequence modeling, or complex pattern recognition.
pydantic
by jiatastic
Pydantic models and validation. Use when: (1) Defining schemas, (2) Validating input/output, (3) Generating JSON schema.
ML Monitoring Skill
by vivekgana
Lakehouse Monitoring
Business Plan Writer
by jmsktm
Create comprehensive business plans, financial projections, and strategic documents for funding or planning
reinforcement-learning
by pluginagentmarketplace
Q-learning, DQN, PPO, A3C, policy gradient methods, multi-agent systems, and Gym environments. Use for training agents, game AI, robotics, or decision-making systems.
model-optimization
by pluginagentmarketplace
Quantization, pruning, AutoML, hyperparameter tuning, and performance optimization. Use for improving model performance, reducing size, or automated ML.
vllm-deployment
by stakpak
Deploy vLLM for high-performance LLM inference. Covers Docker CPU/GPU deployments and cloud VM provisioning with OpenAI-compatible API endpoints.
mlops-deployment
by pluginagentmarketplace
Docker, Kubernetes, CI/CD, model monitoring, and cloud platforms. Use for deploying ML models to production, setting up pipelines, or infrastructure.
MLflow Tracking Skill
by vivekgana
Databricks MLflow Guide
gitlab-ci
by grandcamel
"GitLab CI/CD pipeline operations. ALWAYS use this skill when user wants to: (1) view pipeline status, (2) run/trigger pipelines, (3) view/retry jobs, (4) trace job logs, (5) download artifacts, (6) lint CI config."
prime
by robzolkos
Prime yourself on a codebase by listing files and reading the README.
interview
by robzolkos
Interview me about the plan
catchup
by robzolkos
Catch up on codebase changes by reviewing the diff from master and reading relevant spec files.
discovery
by robzolkos
Quick user-centric interview to capture requirements from a time-poor stakeholder.
vertex-ai-sdk
by Agentient
Vertex AI SDK patterns for configuring Gemini models including generation parameters, safety settings, streaming responses, and function calling. PROACTIVELY activate for: (1) model configuration and temperature settings, (2) safety controls and streaming implementation, (3) Vertex AI endpoint selection and function calling. Triggers: "gemini config", "model parameters", "streaming response"
likec4-architecture
by timseriakov
Builds and maintains software architecture as code with LikeC4 DSL. Use when requests mention architecture diagrams, C4 context/container/component views, system landscapes, dependency maps, integration maps, or architecture generated from code. Applies to creating new .c4/.likec4 models, updating existing models, validating with LikeC4 CLI, and preparing preview/build/export outputs.
event-modeling
by jwilger
Event modeling facilitation for discovering and designing event-sourced systems. Four phases: domain discovery, workflow design (9-step process), GWT scenario generation, and model validation. Activate when starting a new project, designing features, modeling domains, writing Given/When/Then scenarios, or discussing event sourcing and domain-driven design.
agent-orchestration
by Agentient
Multi-agent orchestration patterns including coordinator agents, LlmAgent vs WorkflowAgent selection, agent-as-tool pattern, and inter-agent communication via session state. PROACTIVELY activate for: (1) multi-agent systems and agent coordination, (2) sub-agent delegation and agent-as-tool implementation, (3) workflow orchestration with LlmAgent and WorkflowAgent. Triggers: "multi-agent", "orchestration", "agent team"
pipeline
by jwilger
Autonomous build-phase orchestrator. Manages slice queue, TDD pair dispatch, full-team code review, mutation testing, CI integration, and auto-merge with quality gates. Replaces manual coordinator overhead during build phase. Activate when running factory mode with ensemble-team.