Agent skill · Backend & API

mastering-gemini-cli

Build headless automation and agentic workflows with Google's Gemini CLI. Covers approval modes (default, auto_edit, yolo), file permission model, Edit vs WriteFile tool selection, smartEdit configuration, GEMINI.md context files, settings.json hierarchy, and MCP server integration. Use when building CI/CD pipelines with Gemini, debugging "0 occurrences found" edit failures, configuring --approval-mode for automation, creating long-running agents with --resume, or integrating external services via Model Context Protocol.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill gemini-cli-headless-alchimie-di-circe-extractor-desktop-ap --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/ai-llm/gemini-cli-headless-alchimie-di-circe-extractor-desktop-ap/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

# Gemini CLI Agentic Systems Build headless automation with Google's Gemini CLI. > **Compatibility:** Gemini CLI 1.x. Features may differ in future versions. ## Quick Start ```bash # Basic headless invocation gemini -p "Refactor auth.js to use async/await" --approval-mode auto_edit # Pipe input for context git diff --staged | gemini -p "Generate semantic commit message" # JSON output for scripts gemini -p "List TODOs in src/" --output-format json --include-directories src ``` ## Headless Checklist Before any automation task: ``` - [ ] Set --approval-mode (auto_edit or yolo) - [ ] Enable smartEdit in .gemini/settings.json - [ ] Scope file access with --include-directories - [ ] Choose output format (json for parsing) - [ ] Add --resume for multi-step workflows ``` ## Approval Mode Decision | Mode | Command | File Ops | Shell Cmds | Use When | |------|---------|----------|------------|----------| | default | (none) | ❌ Prompts | ❌ Prompts | Interactive only | | auto_edit | `--approval-mode auto_edit` | ✅ Auto | ❌ Prompts | Code refactoring | | yolo | `--approval-mode yolo` | ✅ Auto | ✅ Auto | Sandboxed CI/CD | **Rule:** Never use `yolo` outside containers or ephemeral environments. #

What's inside
Steps it walks through
  1. Quick Start
  2. Headless Checklist
  3. Approval Mode Decision
  4. Least Privilege Pattern
  5. Tool Selection
  6. Edit Tool Reliability
  7. File Access Model
  8. Expanding Visibility
  9. Context Configuration
  10. GEMINI.md (Agent Instructions)
  11. settings.json Hierarchy
  12. Session Persistence
  13. Output Formats
  14. Parsing JSON Output
Ships with 1 file
  • metadata.json
Commands it runs
Basic headless invocation
gemini -p "Refactor auth.js to use async/await" --approval-mode auto_edit
Pipe input for context
git diff --staged | gemini -p "Generate semantic commit message"
JSON output for scripts
gemini -p "List TODOs in src/" --output-format json --include-directories src
Documentation agent: read + write only, no shell
gemini -p "Update README from source" \
Analysis agent: read only
gemini -p "Find security issues in src/" \
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About this skill
What does the mastering-gemini-cli skill do?

Build headless automation and agentic workflows with Google's Gemini CLI. Covers approval modes (default, auto_edit, yolo), file permission model, Edit vs WriteFile tool selection, smartEdit configuration, GEMINI.md context files, settings.json hierarchy, and MCP server integration. Use when building CI/CD pipelines with Gemini, debugging "0 occurrences found" edit failures, configuring --approval-mode for automation, creating long-running agents with --resume, or integrating external services via Model Context Protocol.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill gemini-cli-headless-alchimie-di-circe-extractor-desktop-ap --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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