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
standup-meeting
Structured daily standup facilitation with three formats: 3-question updates, board-walking, and async remote standups.
state-management
State management patterns for React applications with Context, Redux, Zustand, and React Query.
system-environment-setup
Docker Compose, environment variables, dev containers, and infrastructure-as-code templates for consistent local and production setups.
task-estimation
Estimate software development tasks using story points, planning poker, and t-shirt sizing.
ui-component-patterns
Modern React component patterns for building scalable, maintainable UI libraries.
user-guide-writing
Create clear, user-focused documentation with step-by-step guides, screenshots, and FAQ sections.
vibe-kanban
Manage multiple AI agents on a visual Kanban board with automatic git worktree isolation and GitHub PR creation.
nano-banana-pro-openrouter
Image generation and editing via OpenRouter's Gemini 3 Pro model with multi-image compositing support.
frontend-design-system
Production-grade UI design with design tokens, layout rules, motion guidance, and accessibility validation.
model-recommendation
Analyze chatmode or prompt files to recommend optimal AI models based on task complexity, capabilities, and cost-efficiency.
remotion-video-production
Programmable video production with Remotion, scene planning, asset orchestration, and automated rendering for brand-consistent content.
agentic-principles
Core principles for effective AI agent collaboration: divide tasks, manage context, choose abstraction levels, automate patterns, and validate results.
developing-genkit-python
New projects: Setup (bootstrap + env). Patterns and code samples: Examples .
image-generation-mcp
Generate high-quality images via Gemini models with structured prompts, aspect ratios, and brand validation.
marketing-skills-collection
Generate marketing deliverables across CRO, copywriting, SEO, analytics, and growth using 23 specialized sub-skills.
ai-tool-compliance
Automated compliance verification and enforcement for AI tools against 11 mandatory P0 rules covering auth, security, cost tracking, and logging.
bmad-idea
Five specialized agents for ideation, design thinking, innovation strategy, problem-solving, and storytelling.
code-reviewer
Automated code review for local changes and remote pull requests with structured analysis across correctness, maintainability, and security.
llm-monitoring-dashboard
Auto-generates a data-driven LLM usage monitoring dashboard with cost tracking, user ranking, and PM insights.
taste-design
This skill generates DESIGN.md files optimized for Google Stitch screen generation. It translates the battle-tested anti-slop frontend engineering directives into Stitch's native semantic design language — descriptive, natural-language rules paired with precise values that Stitch's AI agent can interpret to produce...
baoyu-imagine
Official API-based image generation. Supports OpenAI GPT Image 2, Azure OpenAI, Google, OpenRouter, DashScope (阿里通义万象), Z.AI GLM-Image, MiniMax, Jimeng (即梦), Seedream (豆包) and Replicate.
firebase-local-env-setup
Prerequisite setup for Firebase agent integration: Node.js, CLI authentication, and MCP server installation.
notebooklm
Query your Google NotebookLM notebooks directly from Claude for source-grounded, citation-backed answers.
optimize-for-ai
Optimize content for AI search engines through citation architecture, E-E-A-T signals, and entity building.