Write gdUnit4 test code with type-specific assertions, signal testing, and scene runner support. Use when creating or updating tests for GDScript files.
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Write gdUnit4 test code with type-specific assertions, signal testing, and scene runner support. Use when creating or updating tests for GDScript files.
Comprehensive guide for building production-quality Ruby gems. Use when creating new gems, structuring gem architecture, implementing configuration patterns, setting up testing, or preparing for publishing. Covers all gem types - libraries, CLI tools, Rails engines, and API clients.
Interactive chat workflows with Gemini CLI including context management, multimodal conversations, and session persistence. Use for extended AI conversations, brainstorming, or collaborative problem-solving.
Central authority for Gemini CLI Checkpointing. Covers git-based file snapshots, automatic state saving, /restore command, and rollback. Use when enabling checkpointing, restoring previous states, undoing changes, or planning experimental workflows with Gemini. Delegates 100% to gemini-cli-docs for official documentation.
Expert guide for executing the Google Gemini CLI in non-interactive and headless modes. Covers command syntax, piping input, output handling, and automation patterns. Use when running gemini commands, piping context to Gemini, scripting Gemini workflows, or using interactive shell mode. Delegates to gemini-cli-docs for official command references.
Run Gemini CLI commands from Claude with correct Node version. Use when user asks to run Gemini CLI, test Gemini traces, or debug Gemini telemetry.
Facilitates context sharing and strategic delegation between Claude Code and Gemini CLI. Syncs CLAUDE.md to GEMINI.md and provides agent selection guidance. Use when onboarding Gemini to a project, syncing instructions between agents, or deciding whether to use Claude or Gemini for a specific task.
Strategic patterns for Claude-to-Gemini delegation. Covers decision criteria, execution patterns, result parsing, and error handling. Use when determining if a task should be delegated to Gemini CLI.
Gemini CLI delegation workflow implementing delegation-core for Google's Gemini models.
A specialized skill for frontend development tasks using the Gemini CLI. It leverages Gemini's multimodal capabilities for generating UI code (React, Tailwind CSS) from descriptions or images (screenshots).
Create distinctive, production-grade frontend interfaces using Gemini 3 Pro for design ideation. Use this skill when you want Gemini's creative perspective on web components, pages, or applications. Generates bold, polished code that avoids generic AI aesthetics.
Patterns for prompting Gemini to generate conceptual images for game development. Use when creating concept art, UI mockups, character designs, environment sketches, or visual references.
Parse Gemini CLI headless output (JSON and stream-JSON formats). Covers response extraction, stats interpretation, error handling, and tool call analysis. Use when processing Gemini CLI programmatic output.
Expert guide for Model Context Protocol (MCP) integration with Gemini CLI. Covers MCP server configuration (HTTP, SSE, Stdio), connection management, and tool permissions. Use when adding MCP servers to Gemini, configuring transports, troubleshooting MCP connections, or managing tool permissions. Delegates to gemini-cli-docs.
Central authority for Gemini CLI session management. Covers session resume, retention policies, session browser, and cleanup. Use when resuming Gemini sessions, configuring retention, browsing past sessions, or managing session storage. Delegates 100% to gemini-cli-docs for official documentation.
Optimize token usage when delegating to Gemini CLI. Covers token caching, batch queries, model selection (Flash vs Pro), and cost tracking. Use when planning bulk Gemini operations.
Gemma Domain Trainer (Prototype)
Expert in OCI Generative AI Dedicated AI Clusters - deployment, fine-tuning, optimization, and production operations
Generate images using Google GenAI Nano Banana Pro model via CLI. Use when the user asks to create images, generate pictures, make AI art, do image-to-image transformations, place people in scenes, or create character variations.
Convert between gene identifier systems including Ensembl, Entrez, HGNC symbols, and UniProt. Use when mapping IDs for pathway analysis or matching different data sources.
---name: gene-panel-design-agent
**Purpose:** Critical analysis and improvement of agent skills
Cross-domain evaluation to estimate generality and detect blind spots. Use when asked to assess broad capability, compare models across domains, or identify missing skills.
從規格目錄的 acceptance.yaml 生成/維護 BDD/ezSpec 測試。使用類似 Gherkin 語法,AI 自動產生 step definition(開發人員不需要手寫),驗收測試規格即為 Executable Specification。
Generate two distinct, creative, and copyright-compliant ad copy variations based on campaign parameters and research insights. Use when creating advertising text content including headlines, body copy, and calls-to-action. Triggers on requests to write ad copy, create ad text, generate headlines, or develop platform-specific ad messaging for A/B testing.
Generate two distinct, AI-powered image variations for advertising campaigns using Google Gemini's image generation capabilities. Use when creating visual assets for ads based on campaign parameters and research insights. Triggers on requests to generate ad images, create visual assets, produce image variations for A/B testing, or develop platform-specific ad visuals.
Create API reference documentation from docstrings. Use when documenting public module interfaces.
Create starter code from templates. Use when setting up new modules or test files.
Generate the comprehensive demo markdown artifacts from the current codebase. Use before UAT to ensure test artifacts reflect the latest code.
Generate an end-to-end test for a given feature or user story. Use when the user asks to create E2E tests, automate workflows, test user flows, or convert manual workflows into Playwright tests. Leverages Playwright MCP to perform the workflow interactively before generating test code.
Auto-generate test data factories from schemas, types, or models. Use when creating test data infrastructure, setting up fixtures, or reducing test setup boilerplate.
Generates features_spec.txt files for use with auto-code extension mode. Analyzes existing codebase and creates structured feature specifications based on user requirements.
Generate Django database migrations for Sentry. Use when creating migrations, adding/removing columns or tables, adding indexes, or resolving migration conflicts.
Homeostatic actuator auto-generating missing tests for requirements with low coverage. Creates unit tests, edge cases, and error cases for REQ-* without sufficient test coverage. Use when validate-test-coverage detects gaps.
Generate high-quality bilingual programming quiz questions for Codle. Use this skill when creating new quiz questions that test deep understanding rather than rote memorization.
generate-spec
開発作業のテスト手順書(testing.md)を生成します。このスキルは単独で使用することも、generate-working-docsから呼び出されることもあります。
Generate job-targeted CV variants with built-in quality gates. Queries knowledge base, customizes content, runs eval/redteam pipeline.
開発作業ドキュメントを自動生成します。YYYYMMDD_要件名の形式でディレクトリを作成し、requirements.md、design.md、tasklist.md、testing.mdを生成します。「開発作業ドキュメント作成」「新規開発のドキュメント作って」「ドキュメント生成」などで呼び出されます。
Create a new artifact (text, code, plan, data) under specified constraints. Use when producing content, writing code, designing solutions, or synthesizing outputs.
Generate images using AI models via OpenRouter API. Supports text-to-image and image-based generation with customizable aspect ratios. Use when the user asks to generate, create, or synthesize images based on text descriptions or reference images.
PRIMARY expert for ALL NestJS and @lenne.tech/nest-server tasks. ALWAYS use this skill when working in projects with @lenne.tech/nest-server in package.json dependencies (supports monorepos with projects/*, packages/*, apps/* structure), or when asked about NestJS modules, services, controllers, resolvers, models, objects, tests, server creation, debugging, or any NestJS/nest-server development task. Handles lt server commands, security analysis, test creation, and all backend development. ALWAYS reads CrudService base class before working with Services.
Generates new agent profiles with consistent structure, automatic validation pattern injection, and test-driven protocols
Esta skill te ayuda a determinar y ajustar el nivel de granularidad apropiado para el modelado de historias de dominio, así como a gestionar las perspectivas temporales (proceso actual vs. futuro dese
Extract the most meaningful, engaging clips from YouTube videos. Use when user provides a YouTube URL and wants to find highlights, best moments, controversial takes, or valuable segments. Supports specifying number of clips or topic focus.
Customize plot aesthetics using natural language. Use when the user wants to change colors, fonts, titles, labels, themes, or any visual aspect of a plot before publication.
Search and retrieve plots from history. Use when the user asks about previous plots, wants to find a plot they made earlier, re-display a past visualization, or export a historical plot.
Create terminal data visualizations using Grammar of Graphics. Use when plotting data, creating charts, graphing, visualizing distributions, or when the user mentions plot, chart, graph, histogram, scatter, boxplot, or visualize.
Apply publication-quality style presets to plots. Use when the user wants to style a plot like Wilke, Tufte, Nature, The Economist, or apply minimal/publication styling.
Inspect GitHub PR checks with gh, pull failing GitHub Actions logs, summarize failure context, then create a fix plan and implement after user approval. Use when a user asks to debug or fix failing PR CI/CD checks on GitHub Actions and wants a plan + code changes; for external checks (e.g., Buildkite), only report the details URL and mark them out of scope.