Loading...
Loading...
Found 1,265 Skills
Expert guidance for creating, building, and using Claude Code subagents and the Task tool. Use when working with subagents, setting up agent configurations, understanding how agents work, or using the Task tool to launch specialized agents.
Adaptive test-driven development cycle. Detects harness capabilities and routes to guided (manual phase control) or automated (orchestrated) mode. Invoke with /tdd for automated or /tdd red|domain|green|commit for guided.
Orchestrate the 9-step skill development lifecycle for the CaldiaWorks Skills repository. Guides through ideation, issue creation, planning, branch creation, requirements definition, skill implementation, commit, pull request, and post-merge issue cleanup. Use when: skill development workflow, develop a skill end-to-end, skill-dev-workflow, /skill-dev-workflow, create and publish a skill.
Orchestrate parallel scientist agents for comprehensive analysis with AUTO mode
This skill should be used when the user requests to "initialize team", "create development team", "team init", "form a team", or "start project team". It collects project information through interactive Q&A and creates an Agent engineering team with professional roles. 8 team types are supported: software development, software testing, reverse engineering, debugging/bug fixing, security research, CTF competition, software and server operation & maintenance, discussion/seminar.
Automated CLI-based parallel agent execution — spawn subagents via Gemini CLI, coordinate through MCP Memory, monitor progress, and run verification
Patterns for parallel subagent execution using Task tool with run_in_background. Use when coordinating multiple independent tasks, spawning dynamic subagents, or implementing features that can be parallelized.
기존 PeachSolution 모듈을 test-data 패턴으로 리팩토링하는 팀 오케스트레이터 스킬. "팀 리팩토링", "레거시 코드 정리", "test-data 패턴으로 변환" 키워드로 트리거. layer=backend|frontend|all 지원, 독립 QA로 확증 편향 방지.
Agent skill for automation-smart-agent - invoke with $agent-automation-smart-agent
LangGraph framework for building stateful, multi-agent AI applications with cyclical workflows, human-in-the-loop patterns, and persistent checkpointing.
Audit milestone completion against original intent before archiving
Create a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts