數據與 AI

Guide for creating new AEM Edge Delivery blocks or modifying existing blocks. Use this skill whenever you are creating a new block from scratch or making significant changes to existing blocks that involve JavaScript decoration, CSS styling, or content model changes.

Use when writing or reviewing Bash scripts to apply defensive programming patterns including strict mode, proper error handling, safe variable handling, argument parsing, and idempotent design. Ensures scripts are robust, maintainable, and production-ready.

Provides guidance on creating custom error types with thiserror, including proper derive macros, error messages, and source error chaining. Activates when users define error enums or work with thiserror.

Advanced editing features including subtypes, feature forms, versioning, and configurable editors. Use for complex data entry workflows.

This skill should be used when reviewing, auditing, or improving existing Claude Code skills to ensure they follow Anthropic best practices, have proper structure, use current domain-specific patterns, and include all necessary resources. It analyzes skill quality, identifies gaps, suggests improvements, and can automatically enhance skills with updated best practices. Trigger terms include review skill, audit skill, improve skill, enhance skill, update skill, check skill quality, skill best practices, fix skill, optimize skill, validate skill structure.

This skill should be used when translating a spec into code using parallel subagents. Use when the orchestrator invokes the implement phase or when executing a well-defined implementation plan.

Expert front-end design critique, refinement, and polish for existing interfaces. Use this skill when the user asks for a design pass, visual polish, design critique, aesthetic improvements, or UI refinement on existing code or interfaces. Works with React artifacts, full websites, and any frontend framework. Generates colour palettes and typography from scratch. Focuses on visual aesthetics, micro-interactions, and avoiding generic AI aesthetics. Complementary to tech-building skills—use after functionality is built.

Build type-safe LLM applications with DSPy.rb - Ruby's programmatic prompt framework with signatures, modules, agents, and optimization

Comprehensive API security for REST, GraphQL, and gRPC services with OAuth 2.1 authentication, JWT validation, rate limiting, and enterprise protection patterns.

Advanced parameter estimation and optimization for UAF models

Modern polynomial API for fitting, root finding, and working with orthogonal series like Chebyshev and Legendre. Triggers: polynomial, polyfit, Chebyshev, Legendre, root finding.

Use when exploring Python project structure, finding virtualenv paths (python/pip/pytest), or locating package metadata (name, version, pyproject.toml).

Deep security analysis with high reasoning effort for threat detection

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.

Orchestrator for WebView UI mockup workflow - delegates design iteration to ui-design-agent and implementation scaffolding to ui-finalization-agent. Use when user mentions UI design, mockup, WebView interface, or requests 'design UI for [plugin]'.

cc-plugins 프로젝트 개발 가이드라인, 레퍼런스 패턴, 프로젝트 구조 조회. Use when Claude needs to (1) Look up development principles (P1-P4, DRY, KISS, YAGNI, SOLID), (2) Find reference patterns for Hooks/Agents/Commands creation, (3) Understand project structure and file locations, (4) Learn how to create Skills/Hooks/Agents/Commands, or (5) Delegate to claude-code-guide for official Claude Code documentation

Claude Code context window optimization strategies, JIT retrieval, progressive loading, memory file patterns, and cleanup practices. Use when optimizing context usage, managing large projects, or implementing efficient workflows.

Expert guidance for compacting files to minimize AI token consumption while preserving semantic meaning. Use this skill when asked to compact, minimize, or reduce token usage in files.

Use this when user requests code review, pull request analysis, or quality assessment. Provides systematic 6-category checklist: functionality, security (OWASP), code quality (SOLID), performance, testing, and maintainability. Apply for PR reviews, security audits, or teaching code quality principles

Use when testing Nango syncs locally - runs dry-run command with proper parameters for integration testing without affecting production data