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All Skills — education

8 skills in "education" matching "deployment"

Build an Agent with Warden

Build original LangGraph agents for Warden Protocol and prepare them for publishing in Warden Studio. Use this skill when users want to: (1) Create new Warden agents (not community examples), (2) Build LangGraph-based crypto/Web3 agents, (3) Deploy agents via LangSmith Deployments or custom infra, (4) Participate in the Warden Agent Builder Incentive Programme (open to OpenClaw agents), or (5) Integrate with Warden Studio for Agent Hub publishing.

Quality checkpoints at every development stage — pre-commit through post-deploy — with configuration examples, threshold tables, bypass protocols, and CI/CD integration. Use when setting up quality automation, configuring CI pipelines, establishing coverage thresholds, or defining deployment requirements.

Realtime deployment

Tutorial on Python time-series model deployment.

Ml Pipeline Starter

Build and deploy production ML pipelines with data processing, model training, evaluation, and deployment using TensorFlow, PyTorch, or Scikit-learn.

Ethereum History

Read-only factual data about historical Ethereum mainnet contracts. Use when the user asks about a specific contract address, early Ethereum contracts, deployment era, deployer, bytecode, decompiled code, or documented history (what a contract is and is not). Data is non-opinionated and includes runtime bytecode, decompiled code, and editorial history when available. Base URL https://ethereumhistory.com (or set BASE_URL for local/staging).

Build original LangGraph agents for Warden Protocol and prepare them for publishing in Warden Studio. Use this skill when users want to: (1) Create new Warden agents (not community examples), (2) Build LangGraph-based crypto/Web3 agents, (3) Deploy agents via LangSmith Deployments or custom infra, (4) Participate in the Warden Agent Builder Incentive Programme (open to OpenClaw agents), or (5) Integrate with Warden Studio for Agent Hub publishing.

Hydrosphere Mist

a service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.

abbreviate is a tool turning long strings in to shorter ones with configurable separators, for example to embed branch names in to deployment stack IDs.