Claude Skill
tensorlakeai/tensorlake-skills
A coding agent skill that routes Claude Code, OpenAI Codex, and other AI agents to live Tensorlake documentation for sandboxes, orchestration, and SDK usage.
Overview
Repository
Install this Skill
npx skills add tensorlakeai/tensorlake-skillsRegistry
Summary
A coding agent skill for Tensorlake that routes Claude Code, OpenAI Codex, and other AI agents to live Tensorlake documentation, covering sandboxes, orchestration, and SDK usage.
Tensorlake 的编码代理技能。将 Claude Code、OpenAI Codex 及其他 AI 代理引导至 Tensorlake 实时文档,涵盖沙箱、编排及 SDK 使用。
Key features
- Routes AI agents to live Tensorlake docs
- Supports Claude Code, OpenAI Codex, and others
- Covers sandboxes, orchestration, and SDK usage
- Python-based skill for coding agents
Use cases
- Guiding AI coding agents to Tensorlake documentation
- Enabling sandbox usage via live docs
- Assisting with orchestration workflows
- Providing SDK usage references to agents
README excerpt
# 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](https://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 trigger
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