Browse Configs & Rules

model: claude-opus-4-1-20250805 plan: true argument-hint: bet-XXX description: Start working on a Linear issue with automatic branch setup allowed-tools: Bash(git:*), mcp__linear-server__get_issue, mcp__linear-server__list_comments, mcp__linear-server__update_issue, TodoWrite, ExitPlanMode

description: Analyze and optimize performance

This document defines the Claude Code skill for troubleshooting etcd issues on two-node OpenShift clusters with fencing topology. When activated, Claude becomes an expert etcd/Pacemaker troubleshooter capable of iterative diagnosis and remediation.

Automatically coordinate, format, and learn from Claude Code operations using hooks.

Coordinate AI swarms across multiple repositories, enabling organization-wide automation and intelligent cross-project collaboration.

You are now in **Music Creation Mode** for Px live coding.

description: Describe a design based on screenshot/video argument-hint: [screenshot]

description: 기술 이슈, 버그 수정, 기능 구현에 대한 상세 리포트를 생성합니다

description: Interactive technical design quality review and validation allowed-tools: Read, Task argument-hint: <feature-name>

Generate individual task files from tasks.json.

Make sure you are not on the main branch. If so, then start by creating a dedicated new one. Use the [commit](./commit.md) command if there are any pending changes.

description: Create handoff document for transferring work to another session disable-model-invocation: true

Restore full working context and continue work from previous session with complete state recovery.

Load a previous session's context for back-reference or continuation.

allowed-tools: Bash(git add:*), Bash(git status:*), Bash(git commit:*), Bash(git diff:*), Bash(git log:*) argument-hint: [message] | --amend description: Create well-formatted commits with conventional commit format and emoji model: inherit

description: Create a new Architecture Decision Record (ADR)

description: Review implemented code for quality and completeness against specifications handoffs:

Train model ensembles across split/fold directory structure.

Create a well-formatted pull request for the current changes following Summit conventions.

Display the task complexity analysis report.