工具

評估日文詞彙卡片的語用延伸需求。分析六個面向：敬語、語氣、語域、褒貶義、暗喻、同義詞對比。使用時機：- 當想了解某個詞彙需要哪些延伸卡片- 當需要評估詞彙的語用複雜度- 當探索詞彙的社會語言學特徵- 當人工判斷是否需要建立延伸卡片關鍵字：延伸需求、敬語延伸、同義詞對比、語域分析、延伸卡片、語用分析

为精炼的User Story增加真实场景描述、用户心理和具体对话，让US对PM/客户更亲切易懂。适合在US初稿完成后、需要向客户展示理解或准备验收时使用，当US格式正确但缺乏场景感时。帮助不熟悉敏捷的PM/BA、需要对外沟通的团队，通过丰富的场景感让需求文档更容易被理解和接受。

Guide for managing terminal sessions with tmux via bash. Use when running long-lived processes, managing multiple concurrent terminal sessions, monitoring background tasks, or needing persistent shells that survive disconnection. Covers session/window/pane management, sending commands to background processes, and capturing output.

법제처 국가법령정보 API를 통해 이혼 판례를 검색하고 다운로드합니다.

AWS infrastructure as code with Terraform and CDK, including VPC design, EKS cluster setup, S3 bucket configuration, RDS databases, DynamoDB tables, Lambda functions, API Gateway, CloudWatch monitoring, IAM policies, security groups, cost optimization, multi-account strategies, CI/CD with CodePipeline, infrastructure testing, disaster recovery, compliance automation, and cloud-native best practices for production workloads.

Enhanced guide for creating effective skills with automatic packaging workflow. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations. Automatically offers to package and provide download links for immediate installation.

Format, validate, and optimize Markdown documents for consistency, readability, and professional presentation

Capture errors with rich context for debugging and alerting

Linux VM bootstrap verification skill. MUST BE USED when setting up new VMs or verifying environment.Supports modes: check (warn-only), install (operator-confirmed), strict (CI-ready).Enforces Linux-only + mise as canonical; honors preference brew→npm (with apt fallback).Verifies required tools: mise, node, pnpm, python, poetry, gh, railway, bd, tmux, jq, rg.Handles optional tools as warnings: tailscale, playwright, docker, bv.Never prints/seeds secrets; never stores tokens in repo/YAML; Railway vars only for app runtime env.Safe on dirty repos (refuses and points to dirty-repo-bootstrap skill, or snapshots WIP branch).Keywords: vm, bootstrap, setup, mise, toolchain, linux, environment, provision, verify, new vm

Apply the Explore → Plan → Code → Commit workflow for tasks like implementing features, fixing bugs, refactors, or adding integrations. Use this when the user wants changes in a repo and wants higher reliability (read first, plan then commit/PR). Emphasize subagents for investigation during Explore, and use "think / think hard / think harder / ultrathink" during Plan when alternatives exist.

Dialectical reasoning framework for self-improvement through pattern detection. Use when detecting teaching moments, high novelty scores, or generalisation patterns.

Recursive meta-skill that detects workflow patterns and automatically generates Claude Code agent definitions. Use when user invokes /create-agent or patterns warrant new agent.

Systematic workflow for verifying bug fixes to ensure quality and prevent regres...

Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A, segmentation), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image, editing, composition, refinement). Use when working with audio/video files, analyzing images or screenshots, processing PDF documents, extracting structured data from media, creating images from text prompts, or implementing multimodal AI features. Supports multiple models (Gemini 2.5/2.0) with context windows up to 2M tokens. | Sử dụng khi: AI, LLM, vision, embedding, phân tích hình ảnh, Gemini API.

Complete user flow patterns for actions, forms, navigation, and state transitions

Provides complete development workflow from Linear story pickup to completion. Covers investigation, planning, implementation, PR creation, and status updates. Use when implementing features, fixing bugs, working on Linear stories, creating PRs, starting development work, or when user asks to "work on", "implement", "build", or "develop" a feature. Also triggers for production bugs and issue investigation.

Expert in creating, updating, and managing feature implementation plans. Use when creating new plans with /plan command, updating plan status, marking phases in_progress or completed, checking plan progress, or understanding plan structure. Ensures plans are created correctly and updated efficiently using the plan-update.py utility.

Advanced frontend web development expert system that provides comprehensive modern web development services including architecture design, UI/UX implementation, performance optimization, engineering setup, and cross-platform development through expert collaboration and intelligent tool integration.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Generate template.toml configuration for Dokploy templates with variables, domains, environment mappings, and file mounts. Use when finalizing Dokploy templates.