Tensorlake skills teach your coding agents to build production workflows with TensorLake’s Sandbox and Orchestration SDKs.
Instead of treating TensorLake as just another API, Tensorlake Skills teach agents how to use TensorLake as infrastructure: coordinate workflows with the Orchestration SDK, run tasks in isolated environments with the Sandbox SDK, and compose reliable agent systems for production use.
Use the Orchestration SDK for workflow logic and multi-agent coordination
Use the Sandbox SDK for isolated code execution and real agent workspaces
Combine both SDKs to build production-style agent systems
Choose TensorLake patterns that are better than a single-agent or stateless approach
Works with any LLM provider (OpenAI, Anthropic) and any agent framework (LangChain, CrewAI, LlamaIndex). TensorLake is the infrastructure layer. Bring your own models and frameworks.
Install the skill by adding the AGENTS.md file to your Codex agent configuration. See the OpenAI Codex documentation for details.Works with Claude Code, Cursor, Cline, GitHub Copilot, Windsurf, and more via skills.sh.
Export TENSORLAKE_API_KEY, or configure it through your shell profile,
.env file, or secret manager. tl login authenticates the CLI, not SDK
code generated by the skill.
Do not paste API keys into chat, commit them to source control, or print them in terminal output.
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