Identify differences between current state and desired future state. Analyze gaps in capabilities, processes, skills, and technology to plan improvements and investments.
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 →Identify differences between current state and desired future state. Analyze gaps in capabilities, processes, skills, and technology to plan improvements and investments.
Onboard company employees (Claude Code CLI users) to use gapless-crypto-clickhouse package with ClickHouse Cloud credentials. Use when company employee needs to set up ClickHouse Cloud access, mentions first-time setup, credential configuration, connection testing, or troubleshooting ClickHouse Cloud connections.
Maintain skills wiki health - check links, naming, cross-references, and coverage
Expert on Aptos gas optimization, performance tuning, storage costs, execution efficiency, inline functions, aggregator usage, parallel execution, table vs vector tradeoffs, and gas profiling tools. Triggers on keywords gas optimization, performance, gas cost, storage fee, inline, aggregator, parallel execution, gas profiling, optimization
Enables comprehensive Linux system diagnostics using GASP's AI-optimized monitoring output. Actively fetches metrics from hosts and provides intelligent analysis with context-aware interpretation.
Gate 1 validation: API specification quality checks
Use when creating PRDs or PRPs to populate the Gotchas/Prior Failures section. Reads learning files from memory/learnings and matches entries based on file paths, keywords, or tags. Returns curated list suitable for PRD/PRP insertion.
Builds static and hybrid sites with Gatsby, React, and GraphQL data layer. Use when creating content-heavy websites, blogs, e-commerce storefronts, or when user mentions Gatsby, static site generation with React, or GraphQL-powered sites.
gcp-gke-troubleshooting
Generate CI/CD pipelines for Node.js and Angular applications on GCP with Cloud Build and GKE deployment. Use when creating or updating deployment pipelines for Node.js services, Express APIs, NestJS applications, or Angular frontends targeting Google Cloud Platform.
Optimize Google Cloud Platform resource allocation and manage cloud credits efficiently. Use when planning GCP deployments, analyzing cloud spend, maximizing value from expiring credits, right-sizing instances, or designing cost-effective architectures. Triggers on GCP cost optimization, credit management, resource allocation planning, or cloud budget concerns.
Character and class design documentation. Use when designing character archetypes, creating class systems, defining abilities and skills, balancing character stats, or designing progression systems.
Core gameplay loop design documentation. Use when defining the core gameplay loop, mapping the player experience over time, designing session structures, or identifying pacing issues.
Map and level design documentation. Use when designing map layouts, creating level templates, placing loot and spawns, designing flow and pacing, or creating navigation systems.
Game mechanics documentation and design. Use when designing core gameplay systems, documenting player actions and responses, balancing game systems, or explaining mechanics to developers.
Weapon and item design documentation. Use when designing weapons, creating item systems, balancing equipment, or designing consumables.
Audits web applications and architectures for compliance with GDPR, CCPA, and other privacy regulations, focusing on consent, data minimization, and user rights.
Guide for implementing Google Gemini API audio capabilities - analyze audio with transcription, summarization, and understanding (up to 9.5 hours), plus generate speech with controllable TTS. Use when processing audio files, creating transcripts, analyzing speech/music/sounds, or generating natural speech from text.
Process large volumes of requests efficiently using Gemini Batch API through executable scripts for cost savings and high throughput.
Interactive chat workflows with Gemini CLI including context management, multimodal conversations, and session persistence. Use for extended AI conversations, brainstorming, or collaborative problem-solving.
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.
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.
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.
Generate consistent medieval manuscript-style illustrations for the Scholastic Bible using Gemini Imagen. Use when creating images, illustrations, artwork, or visuals for Bible pages, parables, book headers, chapter art, or any visual content for the site.
Generate high-quality images from text prompts using Google's Gemini and Imagen models through executable scripts.
Guide for implementing Google Gemini API image generation - create high-quality images from text prompts using gemini-2.5-flash-image model. Use when generating images, creating visual content, or implementing text-to-image features. Supports text-to-image, image editing, multi-image composition, and iterative refinement.
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.
Generate content using Google's Gemini API through executable scripts with advanced capabilities including system instructions, thinking mode, JSON output, and Google Search grounding.
End-to-end pipeline for generating Roblox games from Gemini-generated concept images. Covers map generation, model reference sheets, and building Lua code from images.
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.
Execute and manage Gemini CLI built-in tools including file operations, web search, shell commands, and memory. Use for automated workflows, tool orchestration, and safe execution patterns.
Generate natural-sounding speech from text using Gemini's TTS models through executable scripts with support for multiple voices and multi-speaker conversations.
Analyze videos using Google's Gemini API - describe content, answer questions, transcribe audio with visual descriptions, reference timestamps, clip videos, and process YouTube URLs. Supports 9 video formats, multiple models (Gemini 2.5/2.0), and context windows up to 2M tokens (6 hours of video).
Performs web searches using Gemini CLI headless mode with google_web_search tool. Includes intelligent caching, result validation, and analytics. Use when searching for current information, documentation, or when the user explicitly requests web search.
Gemma Domain Trainer (Prototype)
This skill provides the Gen Alpha/brainrot output style transformation rules and vocabulary. It is automatically loaded by the SessionStart hook to transform all Claude responses into Gen Alpha internet slang. Contains comprehensive glossary, transformation patterns, and examples.
Expert in OCI Generative AI Dedicated AI Clusters - deployment, fine-tuning, optimization, and production operations
Generate videos using Google GenAI Veo 3.1 model via CLI. Use when the user asks to create videos, generate animations, make AI video content, do image-to-video transformations, interpolate between frames, or create cinematic shots with camera movement.
Comprehensive expertise for working with Microsoft's GenAIScript framework - a JavaScript/TypeScript-based system for building automatable LLM prompts and AI workflows. Use when creating, debugging, or optimizing GenAIScript scripts, implementing prompts-as-code, working with tools and agents, processing files (PDF, CSV, DOCX), defining schemas, or building AI automation workflows.
Auto-invoke gencast to generate podcasts from documents when user mentions podcast, audio, or dialogue generation
Create effective agent skills through guided briefing process that explores requirements, patterns, and best practices.
**Purpose:** Critical analysis and improvement of agent skills
generate-docs
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.
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 or edit images using AI models (FLUX, Gemini). Use for scientific illustrations, diagrams, schematics, infographics, concept visualizations, and artistic images. Supports image editing to modify existing images (change colors, add/remove elements, style transfer). Useful for figures, posters, and visual explanations.
Generate structured HTML from authoring analysis for AEM Edge Delivery Services. Creates section structure, applies block tables, handles metadata, and manages images folder.
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.