すべてのClaudeスキルを閲覧

GF Plan - Hardware Design Architect

Generates comprehensive RTL implementation plans and architectural specifications for SystemVerilog hardware design.

GateFlow SystemVerilog Learning Mode

Facilitates interactive SystemVerilog mastery through curriculum-based exercises, automated solution reviews, and guided hints.

Screenly Edge App Creator

Scaffolds and guides the development of Screenly Edge Apps using Figma designs and standardized templates.

GitHub Pull Request Workflow

Automates the end-to-end GitHub pull request process including branch management, rebasing, and PR creation.

Gateflow SystemVerilog Lint

Lints SystemVerilog code using Verilator to identify design errors, warnings, and performance bottlenecks with structured feedback.

Frontend Design

Generates distinctive, production-grade frontend interfaces with high design quality and unique creative character.

Agentic Loop Onboarding

Guides users through the automated setup, project detection, and configuration of the Agentic Loop autonomous coding toolkit.

Vertica to dbt Snowflake Migration

Automates the conversion of Vertica DDL into production-ready dbt models optimized for Snowflake Data Cloud.

GateFlow Intent Router

Orchestrates SystemVerilog development workflows by semantically classifying user intent and routing tasks to specialized hardware design agents.

Gateflow SystemVerilog Orchestrator

Automates the entire SystemVerilog hardware design lifecycle, from architecture planning and RTL generation to automated linting and simulation-based verification.

GateFlow Verilator Lint Summary

Simplifies SystemVerilog development by converting complex Verilator lint and simulation outputs into actionable, readable reports.

SystemVerilog Testbench Best Practices

Implements professional-grade SystemVerilog verification patterns and layered testbench architectures for robust RTL validation.

GateFlow Expand

Refines ambiguous SystemVerilog requests through interactive clarification and architectural trade-off analysis.

iOS Testing & QA Pro

Implements comprehensive testing patterns for iOS applications using XCTest and SwiftUI.

Django Web Framework

Accelerates Python backend development using optimized Django ORM patterns, class-based views, and REST API structures.

Mobile Instinct v2

Extracts and applies recurring architectural patterns from mobile development sessions to enhance code consistency through observational learning.

Swift Patterns & Idioms

Implements modern Swift language patterns and best practices for clean, safe, and performant mobile application code.

KMP Networking with Ktor

Configures and implements a robust, shared networking layer for Kotlin Multiplatform mobile applications using Ktor.

Shadow Testing

Creates isolated container environments to test local, uncommitted code changes across multiple repositories before pushing to CI.

KMP Expect/Actual Patterns

Implements platform-specific logic in Kotlin Multiplatform projects using standardized expect/actual declaration patterns.

Mobile Test Verification

Automates mobile testing workflows using pass@k metrics to detect flaky tests and ensure high-reliability Android applications.

SwiftUI Patterns

Implements modern SwiftUI patterns, state management, and performance optimizations for iOS 17+ mobile development.

Fiberplane Issue Implementation

Manages the full development lifecycle by finding, claiming, and tracking progress on issues within the Fiberplane ecosystem.

Amplihack Framework Expert

Orchestrates complex agentic coding tasks using a multi-agent, goal-seeking development framework.

Fiberplane Plan & Issue Tracker

Decomposes complex project goals into structured, trackable issue hierarchies with explicit dependencies using the Fiberplane CLI.

KMP Repository Pattern

Implements clean data layer architecture for Kotlin Multiplatform projects using the repository pattern with built-in caching and error handling.

KMP Navigation Guide

Streamlines Kotlin Multiplatform navigation implementation using Voyager, Decompose, and platform-native bridging strategies.

Mobile Context Compactor

Optimizes Claude's context window for large Android projects by strategically summarizing or removing irrelevant files to save tokens.

KMP Dependency Injection

Simplifies cross-platform dependency injection setup using Koin and manual DI patterns for Kotlin Multiplatform projects.

Mobile Instinct v1

Captures and learns mobile development patterns in real-time to provide context-aware suggestions for Android and Kotlin Multiplatform projects.