New skills

Use the agent-starter-pack CLI (via uvx ) to create new ADK agent projects or enhance existing ones with deployment, CI/CD, and infrastructure scaffolding.

Python only for now. This cheatsheet currently covers the Python ADK SDK. Support for other languages is coming soon.

Build multi-step content creation pipelines via inference.sh CLI.

Create and curate high-quality newsletters via inference.sh CLI.

Scaffolded project? Cloud Trace and prompt-response logging are pre-configured by Terraform. See references/cloud-trace-and-logging.md for infrastructure details, env vars, and verification commands.

Scaffolded project? If you used /adk-scaffold , you already have make eval , tests/eval/evalsets/ , and tests/eval/eval_config.json . Start with make eval and iterate from there.

Optimize your Product Hunt launch with research and visuals via inference.sh CLI.

Scaffolded project? Use the make commands throughout this guide — they wrap Terraform, Docker, and deployment into a tested pipeline.

Write high-engagement Twitter/X threads via inference.sh CLI.

Create professional product images with AI via inference.sh CLI.

Convert still images to animated videos via inference.sh CLI.

Create AI-powered podcasts and audio content via inference.sh CLI.

Write professional press releases with research and fact-checking via inference.sh CLI.

Create consistent characters across multiple AI-generated images via inference.sh CLI.

IMPORTANT: Always check the environment variables or .env file for LANGSMITH_PROJECT before querying or interacting with LangSmith. This tells you which project contains the relevant traces and data. If the LangSmith project is not available, use your best judgement to identify the right one.

Build automated AI workflows via inference.sh CLI.

Generate music and songs via inference.sh CLI.

Design high-engagement carousel posts via inference.sh CLI.

Build RAG (Retrieval Augmented Generation) pipelines via inference.sh CLI.

Create high-CTR YouTube thumbnails with AI image generation via inference.sh CLI.

Create visual storyboards with AI image generation via inference.sh CLI.

IMPORTANT: Always check the environment variables or .env file for LANGSMITH_PROJECT before querying or interacting with LangSmith. This tells you which project contains the relevant traces and data. If the LangSmith project is not available, use your best judgement to identify the right one.

Create data-driven content briefs via inference.sh CLI.

Create professional marketing videos via inference.sh CLI.