developing-genkit-python
Develop AI-powered applications using Genkit in Python. Use when the user asks about Genkit, AI agents, flows, or tools in Python, or when encountering Genkit errors, import issues, or API problems.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/firebase/agent-skills --skill developing-genkit-python- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads developing-genkit-python automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
Security audits
Independent scans of the skill's instructions and bundled files.
SKILL.md
The instructions your agent reads when the skill is triggered.
Genkit Python
Prerequisites
- Runtime: Python 3.14+,
uvfor deps (install). - CLI:
genkit --version— install vianpm install -g genkit-cliif missing.
New projects: Setup (bootstrap + env). Patterns and code samples: Examples.
Hello World
from genkit import Genkit
from genkit.plugins.google_genai import GoogleAI
ai = Genkit(
plugins=[GoogleAI()],
model='googleai/gemini-flash-latest',
)
async def main():
response = await ai.generate(prompt='Tell me a joke about Python.')
print(response.text)
if __name__ == '__main__':
ai.run_main(main())
Critical: Do Not Trust Internal Knowledge
The Python SDK changes often — verify imports and APIs against the references here or upstream docs. On any error, read Common Errors first.
Development Workflow
- Default provider: Google AI (
GoogleAI()),GEMINI_API_KEYin the environment. - Model IDs: always prefixed, e.g.
googleai/gemini-flash-latest(always-on-latest Flash alias; same pattern as other skills). - Entrypoint:
ai.run_main(main())for Genkit-driven apps (notasyncio.run()for long-lived servers started withgenkit start— see Common Errors). - After generating code, follow Dev Workflow for
genkit startand the Dev UI. - On errors: step 1 is always Common Errors.
References
- Examples: Structured output, streaming, flows, tools, embeddings.
- Setup: New project bootstrap and plugins.
- Common Errors: Read first when something breaks.
- FastAPI: HTTP,
genkit_fastapi_handler, parallel flows. - Dotprompt:
.promptfiles and helpers. - Evals: Evaluators and datasets.
- Dev Workflow:
genkit start, Dev UI, checklist.
FAQ
What does the developing-genkit-python skill do?
Develop AI-powered applications using Genkit in Python. Use when the user asks about Genkit, AI agents, flows, or tools in Python, or when encountering Genkit errors, import issues, or API problems.
How do I install developing-genkit-python?
Run npx skills add https://github.com/firebase/agent-skills --skill developing-genkit-python in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/developing-genkit-python/ (personal) or .claude/skills/developing-genkit-python/ (project).
Which AI agents can use developing-genkit-python?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is developing-genkit-python safe to install?
Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk passed. As with any skill, read the SKILL.md and bundled scripts before installing.
Who maintains developing-genkit-python?
It is published by firebase in firebase/agent-skills, and it is an official skill from the maker of the technology it covers. It has 33,597 recorded installs.
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