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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。
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Agent workflow for generating highly diverse creative content using Verbalized Sampling (VS) technique. Use when user requests multiple variations, brainstorming, creative ideas, or when standard prompting produces repetitive outputs. Increases diversity by 1.6-2.1× while maintaining quality. Works for: blog posts, social media captions, stories, campaign ideas, product descriptions, taglines, and open-ended creative tasks.
Generates Django models with proper field types, relationships, and migrations. Use when creating Django models or database schemas.
Use when the user asks to edit, polish, or rewrite documentation or long-form prose to improve clarity and structural quality, aiming for publishable text without tone drift or unnecessary structural churn.
Research-driven critique and enhancement of Amelia architecture or ideas docs. Use with GPT-5.2 when given a design/architecture doc to analyze concepts, find sources, and propose improvements plus OSS candidates.
Update development blog with implementation milestones, learnings, and progress. Use after completing major milestones or phases.
You are an expert in dock door assignment optimization and yard management. Your goal is to help optimize the assignment of inbound/outbound shipments to dock doors to minimize congestion, reduce dwel
Run mjr.wtf locally using Docker Compose (SQLite), including migrations, logs, and teardown.
Database operations with docker-local - create, connect, backup, restore for MySQL and PostgreSQL
Optimize Docker images and containers for size, build speed, and runtime performance
Automatically update repository documentation whenever code changes (add/edit/refactor) occur. Use when modifying source code, public APIs/contracts, rendering/interaction/data/compute logic, diagnostics, or build/release/CI flows so docs stay consistent without asking.
Expert in generating, filling, and assembling PDF documents programmatically for legal, HR, and business workflows.
Systematically improve documentation quality from 7/10 → 9/10 using assessment checklists and transformation patterns. Use when documentation exists but lacks Quick Start, clear prerequisites, or working examples. Optimized for crypto/trading data projects.
Use when migrating Docusaurus projects from v2 to v3
Master Entity Framework Core migrations with code-first approach, migration strategies, data seeding, rollback procedures, and production deployment patterns. Use when managing database schema changes in .NET applications.
Execute the proper Drizzle Kit workflow for database schema migrations in asset-forge. Use this when the user asks to create a database migration, update the database schema, or when schema changes need to be applied to the database.
drizzle-orm-d1
Enforces project Drizzle ORM coding conventions when creating or modifying database queries, schemas, and migrations. This skill ensures consistent patterns for query structure, type safety, permission filtering, pagination, resilience, and database operations.
Drizzle ORM for TypeScript - type-safe SQL queries, schema definitions, migrations, and relations. Use when building database layers in Next.js or Node.js applications.
Drizzle ORM best practices including schema design with relationships, database migrations, prepared statements for performance, transactions, indexes, Turso SQLite database operations, type safety patterns, query optimization, and database workflow for ree-board project
Builds type-safe database applications with Drizzle ORM including schema definition, queries, relations, and migrations. Use when working with databases in TypeScript, defining schemas, writing type-safe queries, or managing migrations.
Guides systematic code refactoring following the DRY (Don't Repeat Yourself) principle. Use when user asks to eliminate code duplication, refactor repetitive code, apply DRY principle, or mentions code smells like copy-paste, magic numbers, or repeated logic. Implements a 4-step workflow from identifying repetition to verified refactoring.
Detect duplicate code and suggest DRY refactors using jscpd
These plugins extend Claude Code capabilities for data science workflows. Enable when needed.
Use DSPy's optimization capabilities to automatically improve prompts in Haystack pipelines.
Use when building reusable PyPI package with pgdbm - provides complete pattern for libraries that work standalone or embedded without needing examples
Coordinate and prepare for investor due diligence with organized data rooms
Find and eliminate code duplication with DRY refactoring strategies
Use when implementing flexible content schemas using EF Core JSON columns, `OwnsOne().ToJson()` patterns, or designing dynamic field storage that avoids migrations. Covers JSON column configuration, LINQ querying of JSON properties, indexing strategies, and schema evolution patterns for headless CMS architectures.
Complete Easy.Platform backend development for EasyPlatform. Covers CQRS commands/queries, entities, validation, migrations, background jobs, and message bus. Use for any .NET backend task in this monorepo.
Migrate existing repositories to use Personal GitHub Ecosystem templates and patterns, including workflow conversion and AI integration adoption.
Create, manage, and safely run Ecto database migrations with proper rollback handling and best practices. Use when working with database schema changes, adding columns, or modifying constraints.
Use when documents need prose improvement, CLAUDE.md style enforcement (prose over bullets, bridging transitions, complete sentences), or final polish before archival
Core Effect foundations and style for a coding agent. Use when starting an Effect task, choosing operators, or structuring a small pipeline.
Skill index and decision guide. Use to pick the right Effect Skill quickly and follow a minimal decision tree.
Scaffold a native-looking, effective Electron app with best practices baked in. Creates a production-ready Electron application with security hardening, modern tooling, proper IPC patterns, auto-updates, native UI elements, and optimal build configuration. Use this skill when users want to start a new Electron project or modernize an existing one.
Use when writing subagent prompts, skill instructions, or any high-stakes task requiring accuracy and truthfulness
Implements PWA features and service workers for offline access. Use to cache itineraries and critical travel info for users on the go.
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Optimize social media engagement through comment strategies and DM automation
Use when documentation needs to be updated, clarified, or reorganized to better serve users' jobs-to-be-done with low cognitive load and high signal.
Generate multiple diverse solutions in parallel and select the best. Use for architecture decisions, code generation with multiple valid approaches, or creative tasks where exploring alternatives improves quality.
Enterprise-ready web development for Next.js 16, React, and TypeScript incorporating Kaizen (continuous improvement) and Monozukuri (meticulous craftsmanship) principles. Use this skill when building web applications, APIs, React components, Next.js projects, or when the user requests clean, efficient, fast, simple, elegant, enterprise-grade, bulletproof, or production-ready web code. This skill enforces modern web best practices, TypeScript patterns, React optimization, security, and performance.
This skill guides the migration from plaintext `.env` files to fnox with 1Password as the secret provider. fnox is provider-agnostic and supports multiple backends (1Password, AWS Secrets Manager, Azu
Guide on Prisma, SQLite, and LiteFS for Epic Stack
Generate comprehensive walkthrough documentation and trigger self-improvement for epic workflows.
Structure founder equity, vesting schedules, and employee option plans
General rules for linting this project; use when handling lint errors or adding ESLint to a package.
Find AILANG vs Python eval gaps and improve prompts/language. Use when user says 'find eval gaps', 'analyze benchmark failures', 'close Python-AILANG gap', or after running evals.
LLM evaluation frameworks, benchmarks, and quality metrics for production systems.