Build with AI coding agents

AI coding agents like Claude Code, Cursor, and GitHub Copilot can help you build with AssemblyAI faster. This guide covers the tools available to give your coding agent rich context about AssemblyAI’s APIs and SDKs.

Claude Code skill

The AssemblyAI skill gives Claude Code curated instructions and context for working with AssemblyAI. It covers the Python and JavaScript SDKs, streaming, voice agents, audio intelligence, and more.

Install the skill:

$
claude install-skill https://github.com/AssemblyAI/assemblyai-skill

Works with 60+ AI coding agents via the universal skills format:

$
npx skills add AssemblyAI/assemblyai-skill

Verify it’s installed:

$
claude skill list

llms.txt

AssemblyAI publishes machine-readable documentation indexes for LLMs:

• llms.txt — Structured index of all documentation pages
• llms-full.txt — Full concatenated documentation content

Filter by language to reduce token usage:

/docs/llms-full.txt?lang=python
/docs/llms-full.txt?lang=typescript

Exclude the API spec to focus on guides:

/docs/llms-full.txt?excludeSpec=true

Many coding agents automatically fetch llms.txt when you point them at a documentation site. You can also paste the URL directly into your agent’s context.

Tips for best results

• Install the skill first — It provides the most targeted context and costs fewer tokens than fetching full docs
• Be specific about the SDK — Say “use the AssemblyAI Python SDK” or “use the JavaScript SDK” rather than “use AssemblyAI”
• Reference the model — Specify universal-3-pro for async or u3-rt-pro for streaming to avoid outdated model names
• Set your API key as an environment variable — export ASSEMBLYAI_API_KEY=your_key so the agent can reference it naturally