Agent skill · Content & Marketing

genai-text

Generate text using Google GenAI Gemini models via CLI. Use when the user asks to generate text, get AI responses, create content, write with AI, or use Gemini for text completion.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill genai-text --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/ai-llm/genai-text/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# GenAI Text Generation Skill Generate text using the `genai-cli text` command with Gemini models. ## Quick Start ```bash # Basic text generation uv run genai-cli text "What is the capital of France?" # With custom model uv run genai-cli text "Explain quantum computing" --model gemini-3-pro-preview # Creative writing with temperature uv run genai-cli text "Write a poem about the ocean" --temperature 0.9 # With system instruction uv run genai-cli text "Explain this code" --system "You are a senior software engineer" # Streaming output uv run genai-cli text "Tell me a long story" --stream # Save to file uv run genai-cli text "Generate documentation" --output ./docs.md ``` ## CLI Reference ``` uv run genai-cli text [OPTIONS] PROMPT Options: --model, -m Model: gemini-2.5-flash (default), gemini-2.5-flash-lite, gemini-3-pro-preview, gemini-2.0-flash --temperature, -t Randomness (0.0-2.0, default: 0.7) --max-tokens, -M Maximum output tokens --system, -s System instruction/persona --top-p Nucleus sampling threshold (0.0-1.0) --top-k Top-k token sampling (1-100) --stop Stop sequences (can be specified multiple times) --seed Random seed for reproducibility --stream Stream output in real-tim

What's inside
Steps it walks through
  1. Quick Start
  2. CLI Reference
  3. Available Models
  4. Parameters
  5. Temperature
  6. System Instruction
  7. Token Control
  8. Sampling Parameters
  9. Stop Sequences
  10. Reproducibility
  11. Output Modes
  12. Standard Output
  13. Streaming
  14. JSON Output
Ships with 1 file
  • metadata.json
Commands it runs
Basic text generation
uv run genai-cli text "What is the capital of France?"
With custom model
uv run genai-cli text "Explain quantum computing" --model gemini-3-pro-preview
Creative writing with temperature
uv run genai-cli text "Write a poem about the ocean" --temperature 0.9
With system instruction
uv run genai-cli text "Explain this code" --system "You are a senior software engineer"
Streaming output
uv run genai-cli text "Tell me a long story" --stream
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About this skill
What does the genai-text skill do?

Generate text using Google GenAI Gemini models via CLI. Use when the user asks to generate text, get AI responses, create content, write with AI, or use Gemini for text completion.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill genai-text --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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