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Found 33 Skills
AI 에이전트 협업 개발의 핵심 원칙. 분해정복, 컨텍스트 관리, 추상화 수준 선택, 자동화 철학, 검증 회고를 정의. 모든 AI 에이전트 사용 시 최적의 협업 패턴 적용.
Generate and use a pre-edit structure brief so coding agents learn likely owners, consumer surfaces, and unsafe edit locations before implementing.
AI-native terminal emulator & IDE built with Tauri, React, and Rust
Use this skill when working with Conductor's context-driven development methodology, managing project context artifacts, or understanding the relationship between product.md, tech-stack.md, and workflow.md files.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
Use when executing multi-task plans where each task can be implemented independently by a subagent. Triggers when a plan has 3+ independent tasks, when speed of execution is important, when tasks have clear acceptance criteria suitable for delegation, or when two-stage review gates (spec compliance and code quality) are needed for iterative fix cycles.
Use when the user asks to "plan this feature", "plan refactor", "research & plan", "plan auth/API/work", or needs multi-step work with evidence-based planning before coding. Understands → Researches (via Local Search/Research) → Plans → Implement. No guessing; validates with code.
Claude Code Advanced Development Guide - A comprehensive tutorial covering tool usage, REPL environment, development workflows, MCP integration, advanced patterns, and best practices. Ideal for learning Claude Code's advanced features and development techniques.
Multi-agent pipeline orchestrator that plans and dispatches parallel development tasks to worktree agents. Reads project context, configures task directories with PRDs and jsonl context files, and launches isolated coding agents. Use when multiple independent features need parallel development, orchestrating worktree agents, or managing multi-agent coding pipelines.
Capture AI agent sessions in your git workflow. Use for setup, rewinding to checkpoints, exploring session history, and troubleshooting.
Use when starting work on a new or unfamiliar project, when encountering unexpected patterns, when user corrects your assumptions, or when explicitly invoked via /learn - auto-discovers and remembers project context through structured codebase analysis
Use when the user wants to turn a PRD requirement (FR-N or similar ID) into an executable development plan. Locates the requirement in docs/prd/, investigates the surrounding code, asks clarifying questions, and produces docs/plans/<FR-N>.md as a markdown checkbox list of independent, vertical-slice tasks. Triggers on "make a plan for FR-001", "generate a plan for this requirement", "break this PRD into tasks", "plan the implementation of FR-N", "create a dev plan", "/plan FR-N".