design
Design system skills for modern Apple platform UI including Liquid Glass, animations, and visual design patterns. Use when implementing new design language features.
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Design system skills for modern Apple platform UI including Liquid Glass, animations, and visual design patterns. Use when implementing new design language features.
顶级 AI 开发战队 (God-Tier)。调度 10 位精英专家 (PM/架构/UI/UX/安全/代码/DBA/QA/DevOps/RCA),交付商业级研发资产。内置思维链 (CoT) 与实时市场情报系统。
Generate Docker Compose and Dockerfile configurations for local development through interactive Q&A. Supports PHP/Laravel, WordPress, Drupal, Joomla, Node.js, and Python stacks with Nginx, Supervisor/PM2, datab...
Guidelines and workflow for working on Laravel 11 or Laravel 12 applications across common stacks (API-only or full-stack), including optional Docker Compose/Sail, Inertia + React, Livewire, Vue, Blade, Tailwin...
Clarify requirements before implementing. Do not use automatically, only when invoked explicitly.
Generate a project-specific DESIGN_SYSTEM.md that enforces consistent UI/UX across SPAs, traditional server-rendered sites, and hybrid systems. Includes tokens, component rules, accessibility gates, and product...
Generate or update CLAUDE.md/AGENTS.md files for AI coding agents through auto-scanning project files combined with interactive Q&A. Supports multiple tech stacks, development environments, and preserves custom...
Write or update backend feature documentation that follows a repo's DOCUMENTATION_GUIDELINES.md (or equivalent) across any project. Use when asked to create/update module docs, API contracts, or backend documen...
Execute Codex CLI for code analysis, refactoring, and automated code changes. Use when you need to delegate complex code tasks to Codex AI with file references (@syntax) and structured output.
Convert markdown vault to RDF/TTL knowledge graph. Extract persons, projects, meetings, and relationships into semantic triples.
Sync markdown vault to TTL knowledge graph. Wrapper around ontology-engine for easy vault synchronization.
Execute SPARQL queries on TTL knowledge graph. Provides 17+ preset queries for persons, projects, meetings, and custom SPARQL support.
Pull request analysis and review for Flutter projects. Use when analyzing PRs, reviewing changes, or preparing PR feedback. Triggers on PR, pull request, merge request, diff, changes.
Creates production-grade, reusable skills that extend Claude's capabilities. This skill should be used when users want to create a new skill, improve an existing skill, or build domain-specific intelligence. Ga...
Validates skills against production-level criteria with 9-category scoring. This skill should be used when reviewing, auditing, or improving skills to ensure quality standards. Evaluates structure, content, use...
This skill conducts discovery conversations to understand user intent and agree on approach before taking action. It should be used when the user explicitly calls /interview, asks for recommendations, needs bra...
Upgrade .NET projects to newer versions. Use when upgrading TargetFramework in csproj/vbproj/fsproj files, migrating between .NET versions, configuring global.json, pinning SDK versions, updating CI/CD pipeline...
Go development with gotestsum for testing, standard tooling, and best practices
Use pkm for personal knowledge management with temporal awareness, quality filtering, hybrid search, and relationship tracking with LSP and MCP server integration.
Use phab CLI for Phabricator task management, code review workflows, revision creation and updates, with Git integration and auto-detection features.
Use jira CLI for Jira operations including issue management, project queries, transitions, and JQL search
Use xsv for fast CSV data processing with selection, filtering, statistics, joining, sorting, and indexing for high-performance data manipulation.
Use lancer CLI for LanceDB semantic and multi-modal search with document ingestion, vector embeddings, and MCP server integration for knowledge retrieval.
View Claude Code session logs with colors, filtering, and real-time following
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.