Best Google Gemini AI Skills
The best AI skills for Google Gemini. Data analysis, productivity, and content creation skills optimized for Gemini.
📋 Selection Criteria
We evaluate and rank skills using the following criteria to ensure you get the most reliable, useful, and safe agent capabilities.
Usefulness for Real Tasks
Skills that solve practical, everyday problems in the Gemini domain.
Tool Compatibility
Skills that work well with Gemini and related AI assistants.
Source Transparency
Open-source skills with clear GitHub repositories, documentation, and active maintenance.
Community Trust
Skills with strong GitHub stars, community adoption, and positive signal from the developer community.
Clarity of Instructions
Well-structured SKILL.md files with clear prompts, examples, and usage guidelines.
Install Readiness & Safety
Skills that are easy to install and have been reviewed for security risk level.
📊 Quick Comparison
| Feature | AIHowToSkills |
|---|---|
| Skill Count | 30 |
| Search | ✅ Full-text search on AIHowToSkills |
| Install Support | ✅ macOS/Linux + Windows commands |
| Source Transparency | ✅ GitHub repos with stars & author info |
| Data Access | ✅ /skills.json API + /llms.txt |
| Best For | Gemini users |
| Pricing | ✅ Free & Open Source |
🏆 Top 30 Best Gemini Skills
Autonomous DevSecOps & FinOps Guardrails. Orchestrates Gemini 3 Flash to audit Linux Kernel patches, Terraform cost drifts, and K8s compliance.
Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where
Bundles 80+ productivity skills: Jira/Notion/Trello workflow optimization, sales scripts and patterns, customer support automation, market research, pricing models, and startup fundraising.
A comprehensive, repeatable code review checklist covering functionality, security, performance, code quality, tests, and documentation — with specific checkpoints, examples, and comment templates.
Analyze code for security flaws, performance bottlenecks, architectural issues, and production reliability using modern static analysis and OWASP best practices.
Combine precision copy editing with cognitive psychology principles (loss aversion, social proof, scarcity, anchoring) and a systematic 7-sweep editing process to turn passive readers into active converters.
Create a structured, automated daily news report that scrapes multiple high-quality sources, filters for relevance and quality, and generates a clean Markdown summary.
Expert guidance on the complete modern data stack from ingestion to analytics: batch vs streaming, storage (Snowflake, BigQuery, Delta Lake), orchestration (Airflow/Prefect), and data quality governance.
Complete copywriting workflow: context gathering, copy brief locking, structured page frameworks, and A/B testable alternatives — all while enforcing honesty and specificity over hype.
Multi-agent orchestrated approach to building production ML pipelines covering the entire lifecycle: data engineering, feature engineering, model training, Kubernetes deployment, and observability.
Optimize content for AI search and LLM citations across AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and similar systems. Use when improving AI visibility, answer engine optimization, or citatio
Geracao de imagens humanizadas via Google AI Studio (Gemini). Fotos realistas estilo influencer ou educacional com iluminacao natural e imperfeicoes sutis.
Build natural-language crypto/DeFi agents and EVM MCP plugins (Claude Code, Cursor, Codex, Gemini). Aomi turns prompts into wallet-signed txs on Ethereum, Base, Arbitrum, Optimism, Polygon, Linea — no
Creates, reads, updates, and deletes Arize AI integrations that store LLM provider credentials used by evaluators and other Arize features. Supports any LLM provider (e.g. OpenAI, Anthropic, Azure Ope
Maintenance orchestrator for the brooks-lint plugin itself. Runs a sequential subagent pipeline — author → eval → QA → trigger-audit → release — to add or edit a skill, refresh the eval suite, keep th
Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 ...
Delegate tasks to OpenAI Codex CLI and Google Antigravity CLI from Claude Code with topic-aware sessions
Use this skill when building applications with Gemini models, Gemini API, working with multimodal content (text, images, audio, video), implementing function calling, using structured outputs, or n...
Use when integrating Google Gemini API into projects. Covers model selection, multimodal inputs, streaming, function calling, and production best practices.
Use this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, video generation, streaming responses, background research
Use this skill when building real-time, bidirectional streaming applications with the Gemini Live API. Covers WebSocket-based audio/video/text streaming, voice activity detection (VAD), native audio f
Use this skill for generative video editing, text-to-video, image-referenced video generation, and first-frame-to-video transition animations using the official google-genai SDK. Includes workflows fo
Configure and optimize .geminiignore files for AI context window efficiency and token cost reduction (FinOps).
Generate and edit images using Gemini's Nano Banana Pro model (gemini-3-pro-image-preview). Use this skill when the user asks you to generate images, create visuals, edit photos, create logos, generat
AI image generation skill powered by Google Gemini, enabling seamless visual content creation for UI placeholders, documentation, and design assets.
Generate or edit images via OpenRouter with the Gemini 3 Pro Image model. Use for prompt-only image generation, image edits, and multi-image compositing; supports 1K/2K/4K output.
One API and one credential for frontier and open-source LLMs, built into your Neon branch and powered by Databricks. Use when a user wants to call an LLM, add AI/chat/an agent to their app, route betw
Modo Elite Coder + UX Pixel-Perfect otimizado especificamente para Gemini 3.1 Pro High. Workflow completo com foco em qualidade máxima e eficiência de tokens.
Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth....
The ultimate playbook for ranking on Google Page 1 AND driving citations in LLMs (ChatGPT, Gemini, Claude, Grok, Meta AI) simultaneously. Generic framework for all web apps.
💡 How to Choose the Right Skill
🎯 Match Your Task
Consider what specific problem you're solving — code review, writing, data analysis, or workflow automation. Different skills excel at different tasks.
🔧 Check Tool Compatibility
Verify the skill works with your preferred AI assistant. Some skills are optimized for Claude, others for ChatGPT, Cursor, or Gemini.
📖 Review Source Quality
Check GitHub stars, author reputation, and last update date. Well-maintained skills with active repos are more reliable.
🔒 Assess Risk Level
Skills marked "Low" risk are safe plain-text prompts. "Medium" skills may run shell commands — review before installing. "High" skills need special caution.
❓ Frequently Asked Questions
What makes a great Best Gemini Skills?
The best best gemini skills combine clear instructions, broad tool compatibility, active maintenance, and strong community trust. We evaluate each skill across usefulness, safety, and source transparency.
How do I install best gemini skills?
Each skill page includes an install command for macOS/Linux and Windows. Copy the command, run it in your terminal, and the SKILL.md file downloads to your local skills directory.
Are these skills free to use?
Yes — every skill listed on AIHowToSkills is completely free and open-source. Most are from GitHub repositories under permissive licenses.
Do these skills work with Gemini?
Yes — the skills listed here are compatible with Gemini. Each skill page shows exactly which tools it supports.
How are these skills ranked?
Skills are ranked by a combination of: usefulness for real tasks, tool compatibility, source transparency, GitHub stars, instruction clarity, and install readiness. See the selection criteria above for details.