Performance optimization techniques including profiling, memory management, benchmarking, and runtime tuning. Use when optimizing Go code performance, reducing memory usage, or analyzing bottlenecks.
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 →Performance optimization techniques including profiling, memory management, benchmarking, and runtime tuning. Use when optimizing Go code performance, reducing memory usage, or analyzing bottlenecks.
Maintain Go repositories with high-quality standards, adhering to CI/CD, linting, and agent-friendly best practices.
Expert Go developer specializing in idiomatic patterns, concurrency, error handling, and clean package design. This skill should be used PROACTIVELY when working on any Go code - implementing features, designing APIs, debugging issues, or reviewing code quality. Use unless a more specific subagent role applies.
Expert senior-level Go guidance for architecture, API-first design/codegen, advanced concurrency, performance tuning, testing/quality, cloud-native 12-factor practices, and Go 1.24+ tooling for large-scale systems.
Define, review, and scaffold Go service directory structures using hexagonal (ports-and-adapters / “jexagonal”) architecture and Go best practices. Use when creating or refactoring Go services, deciding package boundaries, organizing cmd/internal/api/config/deploy/migrations, or choosing layouts for common service types (HTTP REST API, gRPC API, async worker/consumer, scheduled job, CLI, multi-binary repos).
You're a Go developer who has seen codebases scale from startup to millions of
Shared Go best practices for LlamaFarm CLI. Covers idiomatic patterns, error handling, and testing.
Go language consultant providing guidance on best practices, testing with testify, concurrency patterns, error handling, and technology stack recommendations. Use when answering Go questions, reviewing Go code, or advising on Go implementation approaches.
Review Go code against comprehensive style guide, focusing on critical bugs and important maintainability issues.
Taskfileを使ったGoプロジェクトの標準開発ワークフロー（ビルド、テスト、Lint、フォーマット）を提供します
go-test
Write and run Go tests using the built-in testing package with table-driven tests, subtests, and mocking via interfaces. Use when writing Go tests or setting up test infrastructure.
Use this skill when writing Go code following the Uber Go Style Guide. Provides comprehensive guidance on idiomatic Go patterns, error handling, concurrency safety, performance optimization, and test-driven development. Covers all critical Uber Go rules including channel sizing, goroutine management, interface design, and proper error handling. Appropriate for any task involving .go files, Go code reviews, refactoring, or implementing Go best practices.
目标进度追踪。查看 3 年/年度/月度/周目标的完成情况，计算百分比，发现停滞目标，连接日常任务与目标。当用户想查看目标进度、更新目标状态时使用。适用于 life-os/ 目录。
Invoke for complex multi-step tasks requiring intelligent planning and multi-agent coordination. Use when tasks need decomposition, dependency mapping, parallel/sequential/swarm/iterative execution strategies, or coordination of multiple specialized agents with quality gates and dynamic optimization.
`gob` (Background Job Manager) runs tasks asynchronously while keeping context free. Essential for builds, tests, dev servers, and any long-running commands.
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Generate game assets using AI image generation APIs (DALL-E, Replicate, fal.ai) and prepare them for Godot. Covers the full art pipeline from concept art and style guides to final sprites, sprite sheets, and import configuration. This skill should be used when creating game art, generating sprites, making tilesets, creating UI elements, or preparing assets for Godot import. Keywords: game assets, AI art, DALL-E, Replicate, fal.ai, sprite sheet, tileset, Godot, pixel art, character sprite, game art, texture, animation frames.
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Modernize Godot 3.x UI to 4.x best practices with theme extraction, responsive layouts, hiDPI support, and RichTextLabel BBCode patterns
Expert knowledge of Godot performance optimization, profiling, bottleneck identification, and optimization techniques. Use when helping improve game performance or analyzing performance issues.
Optimizes Godot 4.x rendering pipeline including renderer selection, 2D batching, occlusion culling, LOD configuration, draw call reduction, and material/shader optimization. Detects rendering bottlenecks and applies targeted optimizations for 60+ FPS performance.
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Use when setting up multi-platform exports for Godot projects, configuring export presets, icons, feature tags, build scripts, or CI/CD pipelines
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Visual and spatial bugs in Godot games cannot be diagnosed from code alone. You cannot see the game running - only the user can observe what's actually happening.
Use when working with godot
Gang of Four design patterns reference. Use this skill when implementing, discussing, or choosing object-oriented design patterns. Auto-activates for architecture decisions, refactoring, and decoupling concerns. Comprehensive coverage of all 23 GoF patterns with pseudocode examples.
Use when Clawdbot needs to test or operate GoHome (Home Assistant clone) via gRPC discovery, metrics, and Grafana.
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Expert Go developer specializing in Go 1.21+ features, concurrent programming with goroutines and channels, and comprehensive stdlib utilization. This agent excels at building high-performance, concurrent systems with idiomatic Go patterns and robust error handling.
Provides purpose-driven branding frameworks, WHY discovery processes, and templates for articulating brand purpose, mission, and vision. Auto-activates during purpose definition, Golden Circle methodology, mission/vision crafting, and WHY discovery. Use when discussing purpose, mission, vision, Simon Sinek, Golden Circle, WHY statement, hedgehog concept, purpose-driven branding, brand purpose, or purpose washing.
Use when designing standardized development workflows, paved roads, or opinionated defaults. Covers golden path patterns, template design, developer workflow optimization, and guardrails.
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Google Agent Development Kit (ADK) for Python. Capabilities: AI agent building, multi-agent systems, workflow agents (sequential/parallel/loop), tool integration (Google Search, Code Execution), Vertex AI deployment, agent evaluation, human-in-the-loop flows. Actions: build, create, deploy, evaluate, orchestrate AI agents. Keywords: Google ADK, Agent Development Kit, AI agent, multi-agent system, LlmAgent, SequentialAgent, ParallelAgent, LoopAgent, tool integration, Google Search, Code Execution, Vertex AI, Cloud Run, agent evaluation, human-in-the-loop, agent orchestration, workflow agent, hierarchical coordination. Use when: building AI agents, creating multi-agent systems, implementing workflow pipelines, integrating LLM agents with tools, deploying to Vertex AI, evaluating agent performance, implementing approval flows.
Streamlined guide for Google Ads API queries via MCP. Use when querying campaign performance, keyword metrics, conversion data, auction insights, or ad group analysis. Reduces context overhead by providing curated field references and common query patterns. Triggers on Google Ads, SEM performance, campaign analysis, keyword research, or auction insights requests.
Expert guidance for Google Ads Script development including AdsApp API, campaign management, ad groups, keywords, bidding strategies, performance reporting, budget management, automated rules, and optimization patterns. Use when automating Google Ads campaigns, managing keywords and bids, creating performance reports, implementing automated rules, optimizing ad spend, working with campaign budgets, monitoring quality scores, tracking conversions, pausing low-performing keywords, adjusting bids based on ROAS, or building Google Ads automation scripts. Covers campaign operations, keyword targeting, bid optimization, conversion tracking, error handling, and JavaScript-based automation in Google Ads editor.
Google Apps Script documentation, guides, and API reference for automating Google Workspace applications
google-chat-api