Tensorlake Skills

Tensorlake Skill

Up-to-date Tensorlake knowledge for AI coding agents. A lightweight skill that teaches Claude Code, OpenAI Codex, Google ADK, and other coding agents how to write correct Tensorlake code — by routing them to live documentation at docs.tensorlake.ai

Why This Exists

AI coding agents hallucinate Tensorlake APIs. Their training data don't have the knowledge, so they invent function signatures, miss new features, and reference removed endpoints. This skill fixes that: when an agent detects a Tensorlake-related task, it fetches the live docs and uses them as the source of truth.

It covers the Python SDK (pip install tensorlake), TypeScript SDK (npm install tensorlake), and CLI (curl -fsSL https://tensorlake.ai/install | sh).

What is a "skill"?

A skill is a small markdown instruction file that teaches an AI coding agent how to use a specific tool or library — similar in spirit to an MCP server, but lighter weight and model-agnostic. The agent reads the skill on activation, follows its instructions (e.g., "fetch live docs before writing code"), and applies the result to your task. No server to run, no extra runtime — just a file the agent reads.

Example

Without the skill:
User: Build me a Tensorlake sandbox that runs untrusted Python and exposes port 8000.
Agent: *(writes code referencing Sandbox.new() — an API that doesn't exist in current SDK)*

With the skill:
User: Build me a Tensorlake sandbox that runs untrusted Python and exposes port 8000.
Agent: *(skill triggers → fetches https://docs.tensorlake.ai/llms.txt → loads sandboxes/lifecycle.md → writes correct code using current tensorlake.Sandbox.create() API)*

What This Skill Does

When it triggers, the skill instructs the agent to:

1. Verify the SDK is installed and TENSORLAKE_API_KEY is…