gemini-llm

npx skills add majiayu000/claude-skill-registry --skill gemini-llm --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

# Gemini LLM Skill Invoke Google Gemini models for text generation, reasoning, code analysis, and complex tasks using the Python `google-genai` SDK. ## Available Models | Model ID | Description | Best For | |----------|-------------|----------| | `gemini-3-pro-preview` | Best multimodal understanding | Complex reasoning, analysis | | `gemini-2.5-pro` | Advanced thinking model | Deep reasoning, planning | | `gemini-2.5-flash` | Fast and capable | Quick tasks, high throughput | | `gemini-2.5-flash-lite` | Fastest, cost-efficient | Simple tasks, bulk processing | ## Configuration **API Key Location**: `C:\Users\USERNAME\env` (GEMINI_API_KEY) **Default API Key**: `${GEMINI_API_KEY}` ## Usage ### Basic Text Generation ```bash python -c " from google import genai client = genai.Client(api_key=os.environ.get("GEMINI_API_KEY")) response = client.models.generate_content( model='gemini-3-pro-preview', contents='YOUR_PROMPT_HERE' ) print(response.text) " ``` ### With System Instructions ```bash python -c " from google import genai from google.genai import types client = genai.Client(api_key=os.environ.get("GEMINI_API_KEY")) response = client.models.generate_content( model='gemini-3-pro-previe

python -c "
from google import genai
client = genai.Client(api_key=os.environ.get("GEMINI_API_KEY"))
response = client.models.generate_content(
from google.genai import types
for chunk in client.models.generate_content_stream(
def calculate_total(items):
total = 0
for item in items:
total += item.price * item.quantity