Gemini CLI
Gemini CLI skills are organized for a command-line agent workflow centered on coding, analysis, and automation tasks. Developers browsing here should expect repo-aware helpers for implementation, debugging, review, and developer operations that fit a terminal-driven assistant.
Skills compatible with Gemini CLI
gepetto
Multi-step planning orchestration: research, stakeholder interviews, specification synthesis, implementation planning, and external LLM review.
google-cloud-recipe-auth
Authentication is the process of proving who you are . In Google Cloud, you represent a Principal (an identity like a user or a service). This is the first step before Authorization (determining what you can do ).
google-cloud-waf-security
The security pillar of the Google Cloud Well-Architected Framework provides design principles and best practices for building a robust security posture by integrating security into every layer of the architecture for cloud workloads. It focuses on maintaining confidentiality and integrity of data and systems while...
image-processing
Image resizing, format conversion, optimization, and OG card generation using Pillow.
ios-device-automation
Vision-driven iOS automation using natural language commands and screenshot analysis.
karpathy-jobs-bls-visualizer
Skill by ara.so — Daily 2026 Skills collection.
llm-council
Multi-agent planning council that orchestrates independent implementation plans, anonymizes them, then merges into one final plan.
logo-creator
AI-powered logo design with iterative refinement, background removal, and SVG export.
nanobanana
Text-to-image and image editing powered by Google's Gemini 3 Pro Image model.
openclaw-persona-forge
Source details, install context, and public review data are available on the full page.
pr-creator
Guided pull request creation that enforces repository templates and safety standards.
prompt-engineer
Design, optimize, and evaluate LLM prompts for maximum accuracy and efficiency.
pua-en
Source details, install context, and public review data are available on the full page.
quality-playbook
Source details, install context, and public review data are available on the full page.
second-brain
Set up a new Obsidian knowledge base using the LLM Wiki pattern. The LLM acts as librarian — reading raw sources, compiling them into a structured interlinked wiki, and maintaining it over time.
second-opinion
Independent code review from external LLMs (OpenAI Codex or Google Gemini CLI) on uncommitted changes, branch diffs, or specific commits.
seo-technical
As of 2025-2026, AI companies actively crawl the web to train models and power AI search. Managing these crawlers via robots.txt is a critical technical SEO consideration.
sf-diagram-nanobananapro
Use this skill when the user needs rendered visuals , not text diagrams: ERDs, UI mockups, architecture illustrations, slide-ready images, or image edits using Nano Banana Pro.
stock-daily-analysis
LLM-powered daily stock analysis across A-shares, Hong Kong, and US markets with technical indicators and AI-driven signals.
trump-code-market-signals
Skill by ara.so — Daily 2026 Skills collection.
vertex-ai-api-dev
Access Google's most advanced AI models built for enterprise use cases using the Gemini API in Vertex AI.
vet
Proactive code review tool that analyzes git diffs and conversation history to catch implementation issues.