Developing Genkit Python

What it does

When your agent uses it

• The user asks about Genkit
• Tools in Python
• Encountering Genkit errors

Example prompts

• “/developing-genkit-python”

Requirements

• Python 3
• Node.js
• A credential in GEMINI_API_KEY

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

1. 1Agent or flow? If the task is conversational, multi-turn, or described as
2. 2Set GEMINI_API_KEY. Use prefixed model ids (googleai/gemini-flash-latest).
3. 3Enter via ai.run_main(main()) for Genkit apps (especially under
4. 4Run with Dev Workflow (genkit start + Dev UI).
5. 5Verify with traces, not a blind run. Running the app directly (uv run)
6. 6Stuck? Common Errors first.

What it can do on your machine

Read from SKILL.md and the folder at commit 7d97937. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • uv
  • npm

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Links to these hosts (documentation or services it may open):

  • docs.astral.sh

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names these keys or tokens, usually read from environment variables:

  • GEMINI_API_KEY

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Developing Genkit Python loads about 1.7k tokens when it runs, and up to ~17k if it reads all its reference files. Until then it costs about 56 tokens; SKILL.md has 641 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~56

When it runs · the whole SKILL.md, loaded when a task matches

~1.7k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~17k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from google/skills at commit 7d97937, republished under its Apache-2.0 licence (© google). 641 words, ~1,664 tokens.

name

developing-genkit-python

description

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.

metadata.version

1.0.0

metadata.category

AiAndMachineLearning

from genkit import Genkit
from genkit_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())

chat = agent.chat()
res = await chat.send('Hello')           # AgentResponse
turn = chat.send_stream('Hello')         # AgentTurn — .stream / .response

genkit start -- uv run src/main.py
genkit start --noui -- uv run src/main.py   # same, without the Dev UI (still a persistent server)

genkit flow:run myFlow '{"data": "input"}' -- uv run src/main.py

genkit trace:list                        # find recent trace IDs
genkit trace:get <traceId>               # full trace details (inputs, outputs, tool calls, errors)
genkit trace:get <traceId> --format json # machine-readable JSON, safe to pipe into jq or other parsers

© google, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 16 other files (references) in skills/cloud/developing-genkit-python of google/skills.

• SKILL.md
• references/agents-artifacts.md
• references/agents-background.md
• references/agents-branching.md
• references/agents-custom.md
• references/agents-http.md
• references/agents-human-in-the-loop.md
• references/agents-sessions.md
• references/agents-state.md
• references/agents.md
• references/common-errors.md
• references/dev-workflow.md
• references/dotprompt.md
• references/evals.md
• references/examples.md
• references/fastapi.md
• references/setup.md

Open the folder on GitHubat commit 7d97937

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in google/skills, which our catalogue first saw on October 7, 2026.

• aiskillstore/marketplaceskills/firebase/developing-genkit-python