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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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Combining multiple GEO audits into a client report
• Explaining AI search readiness to business leaders
• Prioritizing improvements by impact and effort

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan a new agent runtime integration
• Compare SDK and native integration requirements
• Review approval, streaming, and session support

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Testing message delivery from the web interface to agy
• Checking terminal output against mirrored session replies
• Verifying permission requests and interruption

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Test authentication and real Gemini responses
• Verify tool connections and sub-agent delegation
• Investigate model selection failures

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reuse one Markdown article across WeChat and RedNote
• Preview article layouts with different themes
• Convert long articles into short posts with images and tags

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating failed CI checks and coverage gaps
• Reviewing pull requests against project rules
• Updating Rust toolchain and CI version pins

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing information loaded at startup versus on demand
• Investigating repeated actions or forgotten constraints
• Planning summaries and persistent task notes

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find answers in uploaded documentation
• Register a notebook with a description and topics
• Search saved notebooks by topic

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.

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• Creating transparent character and item images
• Building textured 3D characters and props
• Adding character movement and lip-synced speech

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning AI-assisted ad image and video production
• Testing opening hooks, narratives, and calls to action
• Refreshing ads as repeated exposure reduces 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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning competitor alternative and comparison pages
• Designing page production using data and templates
• Reviewing content for citations in AI Overviews

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organize web, YouTube, and Google Drive sources
• Ask questions grounded in notebook sources
• Generate audio, reports, and study materials

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Measuring website visits from AI services
• Comparing AI traffic trends and conversions
• Finding common patterns in pages receiving AI traffic

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning an agent's requirements and architecture
• Running and debugging an agent locally
• Evaluating responses and tool use before deployment

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.

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• Registering a deployed agent with Gemini
• Automating registration in a release pipeline
• Listing and updating registered agents

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.

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• Comparing Agent Runtime, Cloud Run, and GKE
• Setting up automated build and deployment pipelines
• Configuring secrets and service account permissions

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.

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• Starting a Python or Go agent prototype
• Adding deployment configuration to an existing project
• Adding an automated build and release pipeline

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding tools to an existing agent
• Running and evaluating an agent locally
• Editing a graph while preserving its required interface

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create test cases for an AI agent
• Check response quality and tool use
• Investigate failed evaluation cases

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Polishing a Korean draft written by ChatGPT or Claude
• Improving repetitive sentence endings and rhythm
• Reviewing a Korean report while preserving key terms

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Polishing an AI-written Korean blog draft
• Reducing translation-like phrasing in a Korean report
• Reviewing a revised Korean paragraph more closely

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Polishing Korean blog drafts written by AI
• Reducing translation-like phrasing in Korean columns
• Editing Korean reports while preserving formality and facts

Inspect images and videos you generated or edited for AI watermarks and embedded origin information, then remove selected signals. The skill guides a command-line tool and reports completed operations without treating missing signals as proof of human authorship.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Inspecting files for AI origin signals
• Removing visible AI labels from your own media
• Removing embedded AI metadata

Check AI watermarks through Google, OpenAI, Microsoft, or Meta verification services. The skill links results to file hashes, identifiers used to verify file integrity, and records separate evidence for each configured account and verification route.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking watermarks through provider verification services
• Comparing Gemini results across configured accounts
• Recording API and browser checks separately