개발 스킬

Implement or modify GitButler’s but commands using its established structure. It covers typed arguments, input validation, execution, and human-readable, shell, or JSON output, while keeping operations usable from the terminal interface.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add a new but command
• Define arguments for branches and commits
• Separate input validation from execution

Manage version control through GitButler’s but CLI. Select files or hunks, meaning sections of a diff, for commits; organize dependent branches, split or combine history, resolve conflicts, and create pull requests using task-specific command workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Commit selected files or sections of a diff
• Split, combine, or reorder commits
• Arrange branches by dependency

Prevent and investigate excessive rendering in Lite React screens. It guides data transformations, context use, and store subscriptions, then checks compiler output and measures rendering time before and after changes to verify their effect.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate lag when selecting rows in Lite
• Review data transformations during rendering
• Design narrower context and store subscriptions

Check that changes to existing PEFT methods still work with saved training checkpoints. The skill guides compatibility tests, configuration checks, benchmark comparisons, and reporting, including comparisons of model outputs before and after a change.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking compatibility after a forward method rewrite
• Changing state_dict structure while supporting old checkpoints
• Reviewing defaults for new configuration fields

Reconcile project documentation, agent rules, authorized memory, and workspace leftovers with current code and runtime behavior. Prepare a clear handoff by correcting stale information, identifying authoritative explanations, and reporting what is verified, pending, or awaiting cleanup approval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Synchronizing documentation after development
• Resolving stale or conflicting agent rule files
• Preparing a handoff to another person or a fresh session

Expose REST APIs as tools for AI agents through Google Cloud API Gateway using MCP, a protocol for connecting agents to tools. Covers OpenAPI migration, authentication, client connections, validation, and troubleshooting.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Expose existing REST APIs as agent tools
• Migrate OpenAPI 2.0 specifications for MCP
• Protect tool listings with JWTs or API keys

Guides migration of existing codebases to Rust without unsafe code, covering architecture, implementation, testing, and output comparisons. It measures performance before and after optimization and produces an interactive HTML report documenting results and unresolved differences.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Migrating a GitHub or local codebase to Rust
• Comparing original and migrated program outputs
• Measuring and optimizing a Rust port

Implement Google sign-in for web applications using Google Identity Services. Add sign-in buttons or One Tap, verify ID tokens as proof of identity, configure browser security policies, and handle sessions, sign-out, and account disconnection.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding Google sign-in to a React or Next.js application
• Verifying ID tokens and restricting Workspace domains
• Configuring One Tap and preventing automatic sign-in after logout

Helps create and extend Apache Airflow DAGs, workflows that define task order and dependencies, for Managed Service for Apache Airflow. Covers environment checks, version compatibility, coding practices, and local or deployed validation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a DAG for a managed Airflow environment
• Adding tasks to an existing workflow
• Checking DAG import errors before deployment

Plan and manage Cloud Spanner databases on Google Cloud, design tables and primary keys, write SQL and client code, and investigate slow queries using database statistics to identify resource-intensive operations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create Cloud Spanner instances and databases
• Design primary keys and related tables
• Write SQL queries and client library code

Set up Google's agents-cli and find the right workflow for building AI agents. Connects requirements planning, project creation, implementation, evaluation, deployment, publishing, and monitoring through specialized skills for the Gemini Enterprise Agent Platform.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up agents-cli and its specialized skills
• Document agent requirements before writing code
• Find the workflow for creating and evaluating an ADK agent

Implement and debug Google OAuth 2.0 refresh tokens bound to a client key. Covers key generation, signed DPoP proofs that demonstrate key possession, and nonce challenge retries in WebCrypto and JavaScript environments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Bind Google OAuth refresh tokens to a client key
• Debug DPoP proof signatures and nonce retries
• Plan a backend for a browser application using DPoP

Build AI features for Dart and Flutter applications with the Genkit Dart SDK. Provides code and documentation for conversational agents, reusable processing flows, prompt files, model integrations, interactive interfaces, and debugging through recorded execution traces.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a conversational AI agent to a Flutter app
• Building AI processing flows in Dart
• Managing prompts in separate files

Integrate video and audio ads into websites, apps, and TV platforms with Google IMA SDK. Follow platform-specific guidance for client-side ad requests, playback coordination, error handling, and cleanup after ads finish.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding video ads to a website
• Integrating ads into mobile and TV apps
• Coordinating ad playback with main content

Create and work with Google Bigtable instances and tables, design row keys and column groups, and query data with SQL or client libraries. Investigate slow queries and concentrated access patterns using Key Visualizer and command-line diagnostics.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing row keys and column families
• Creating Bigtable instances and tables
• Writing SQL queries or data access code

Integrate the Google Mobile Ads SDK into an Android, iOS, or Unity app for AdMob or Ad Manager. Follow platform-specific steps to add dependencies, set the application identifier, initialize the SDK, and verify the integration.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add the SDK to an Android app
• Configure the SDK for an iOS app
• Integrate mobile ads into a Unity project

Migrate an existing Android app from the legacy Google Mobile Ads SDK to GMA Next-Gen SDK. The skill maps dependencies, imports, classes, and methods, and guides changes to initialization, ad callbacks, and UI thread handling.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Replace legacy advertising SDK dependencies
• Update ad imports, classes, and method calls
• Adapt initialization and UI updates in callbacks

Prepare a local development environment for the Data Manager API with authentication and library installation guidance. It covers five programming languages and companion utilities for formatting, hashing, and encrypting user identifiers before ingestion.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a local environment for the Data Manager API
• Installing client and identifier utility libraries
• Configuring local credentials and access scopes

Implement rewarded ads with the Google Mobile Ads SDK on Android, iOS, or Unity. Add a user interface for choosing to view an ad for a reward, and follow steps for loading, event handling, display, and verification.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add ads users choose to view for in-app rewards
• Implement rewarded ads on Android or iOS
• Integrate rewarded ads into a Unity app

Helps developers send conversion and event data to Google Ads, Google Analytics, and Floodlight through the Data Manager API. It covers destination setup, data formatting, validation, migration from other APIs, and checking processing results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implement offline conversion uploads to Google Ads
• Send recommended or custom GA4 events
• Migrate event ingestion from another Google API

Integrate Google's IMA DAI SDK for dynamic ad insertion into web, mobile, and TV video players. The skill guides setup and stream requests for live or on-demand HLS and DASH content configured in Google Ad Manager.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding DAI live playback to a web video player
• Integrating on-demand video playback on Android or iOS
• Implementing DAI playback for tvOS, Cast, or Roku

Add Google Mobile Ads banners to Android, iOS, or Unity apps. Guides implementation from defining the ad view and choosing its size to handling load events, loading the banner, and checking the completed integration.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add a banner ad to an Android app
• Place an adaptive banner at the top or bottom of an iOS app
• Integrate a banner ad into a Unity app

Set up credentials and a development environment for your first Google Ads API request to retrieve campaigns. Choose from six official client libraries or direct HTTP requests, with guidance for account IDs, developer tokens, and common authorization errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare credentials for a first Google Ads API integration
• Build an example that retrieves advertising campaigns
• Choose a client library or direct REST requests

Implement full-screen ads at natural transitions in mobile apps using the Google Mobile Ads SDK. Follow platform-specific guidance for Android, iOS, or Unity, covering ad loading, event handling, display, and implementation verification.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add full-screen ads between app screens
• Implement interstitial ads on Android or iOS
• Integrate interstitial ads into a Unity app