1K skills ・ Works with: Gemini · sorted by popularity
Assess a website’s readiness for AI search alongside traditional SEO. Review content citation readiness, crawler access, brand mentions, technical foundations, and structured data, then generate scores, prioritized recommendations, and client reports.
Turn existing GEO audits, which assess readiness for AI search citations, into one client report. Combine scores, technical and content findings, platform comparisons, and a prioritized action plan written for business owners and marketing leaders.
Test Omnigent’s native Antigravity integration with a live local server and the real agy CLI. Verify messages traveling between the web interface and terminal, mirrored replies, permission requests, interruption, session resumption, and process cleanup.
Test Omnigent’s Antigravity SDK integration against a live local server. Build test agents and run real conversations to check Gemini authentication, model selection, tool connections, and failures across the full execution path.
Plan and review new Omnigent harness integrations, the adapters connecting agent runtimes to the platform. Compare SDK and subprocess approaches with native interface wrappers, using capability matrices and checklists for implementation and testing.
Prepare one Markdown article for both WeChat drafts and RedNote posts. The skill formats long articles, uploads images, converts content into shorter social posts with tags, and provides previews and batch processing.
Guide CI work for Worktrunk, a Rust tool for managing Git worktrees. Adds project rules for running tests, checking Codecov coverage, diagnosing failures, reviewing pull requests, and maintaining toolchain and CI versions.
Review how an AI agent loads, retains, summarizes, and shares working information. This historical guide helps examine forgotten constraints, repeated actions, tool selection, and handoffs using context engineering practices published in 2024–2025.
Ask questions about documents in Google NotebookLM from Claude Code and receive source-grounded answers with citations. Manage a local notebook library, find notebooks by topic, and combine follow-up answers into a response.
Create game images, transparent PNGs, textured 3D models, animated humanoids, sound effects, and voice lines using local GPU tools. Paid API options extend production to assets such as music and animated sprites.
Plan AI-assisted ad creative production, testing, budget allocation, and measurement across advertising platforms. It provides workflows for comparing messages, adapting assets to each channel, and refreshing ads when repeated exposure starts to reduce performance.
Plan AI-assisted SEO, from keyword research and competitor comparison pages to content production using data and templates. It also guides content changes for AI search citations, tool selection, quality checks, and ongoing performance tracking.
Use the nlm command-line tool or MCP tools to manage Gemini Notebook notebooks and sources, ask questions, discover research material, and generate content. Check account usage and reset times before work that depends on available quota.
Analyze actual GA4 visits from AI services such as ChatGPT and Perplexity. Compare traffic trends, landing pages, and conversions, then identify page patterns and specific content changes that may improve visibility in AI search.
Polish AI-written Korean by detecting unnatural phrasing, repetitive structures, and uneven stylistic choices. Preserves meaning, facts, quotations, genre, and formality, then saves the revised text with a summary of changes and self-check results.
Polish AI-written Korean by identifying unnatural phrasing and repetitive sentence patterns while preserving facts and tone. The skill selects a review depth, checks how much changed, and returns revised text with comparisons and remaining warnings.
Revise AI-written Korean to improve phrasing, sentence rhythm, and structure while preserving meaning, key terms, and tone. The skill chooses an editing depth, checks the changes, and provides revised text with review results.
Register a deployed agent with Gemini, choose the appropriate registration method, and troubleshoot setup problems. Also covers managing agents and registering MCP servers, which expose tools to agents, in Google Cloud Agent Registry.
Evaluate AI agents by preparing test cases, scoring responses and tool use, investigating failures, and comparing results after changes. Supports built-in checks and custom scoring rules, including evaluations performed by a language model.
Guide development of a LangChain or LangGraph project created with agents-cli. It explains tool additions, local runs, evaluation, and serving while identifying the required graph structure and commands that differ from ADK projects.
Plan and carry out agent deployments on Google Cloud using agents-cli. The guide covers deployment targets, permissions, secrets, automated build and deployment pipelines, verification, and recovery procedures for agents built with supported frameworks.
Guide AI agent development from requirements and project setup through implementation, behavior evaluation, deployment, and monitoring. Provides coding rules, debugging steps, and links to specialized skills so each phase follows a defined process.
Create starter projects for AI agents, add deployment configuration and automated build and release pipelines to existing projects, or update generated project files. Supports Python and Go ADK templates and a prototype-first approach.
Create simple, cute square character images using rounded shapes, two character colors, and a solid background. The skill can use product context to propose three design directions and generate six separate candidates for comparison.