Skill UI

Guides finishing a development branch by verifying tests, presenting four structured options (merge, push/PR, keep, discard), and cleaning up worktrees only when appropriate so completed work integrates safely.

Documents advanced Git workflows—worktrees, bisect, interactive rebase, hooks, recovery tactics, aliases, and anti-patterns—so developers can manage parallel branches, pinpoint regressions, and enforce commit hygiene in complex repos.

Master advanced Git techniques, including interactive rebase, cherry-picking, and bisecting, to manage complex version control scenarios. This guide provides structured workflows for cleaning commit history before merging, recovering from accidental changes, and efficiently tracking down the source of bugs across diverging branches.

Analyzes local git branches and worktrees, groups related prefixes, verifies merges or squash history, and safely prompts before deleting merged, superseded, or gone branches. Use when stale local branches and worktrees need cleanup without affecting remote.

Configures and manages isolated Git worktrees by selecting safe directories, verifying ignore rules, running project setup, and validating a clean test baseline so teams can work on multiple branches without switching contexts.

This powerful skill manages Git worktrees to enable safe, isolated parallel feature development. It standardizes branch isolation, automatically allocates unique network ports, and synchronizes environments, allowing multiple agents or terminal sessions to work on different branches simultaneously without conflicts. It also provides mechanisms for detecting and safely cleaning up stale worktrees.

Guides branch completion by verifying tests, identifying the base branch, presenting merge/PR/keep/discard options, and cleaning up worktrees when appropriate.

Creates isolated git worktrees with prioritized directory discovery, ignore verification, dependency bootstrapping, and clean baseline tests so feature branches launch safely alongside ongoing work.

A robust framework for orchestrating complex, multi-step coding tasks using multiple AI agents. It functions by first planning the entire project into a mission dependency graph (DAG), then dispatching specialized agents to isolated Git worktrees for parallel development. The system automatically monitors progress, handles merges, and generates structured, comprehensive reports detailing changes, completed tasks, and next steps.

AgentHub spawns parallel git worktree agents that compete on tasks, evaluates their outputs via metrics or LLM judges, and merges the top branch for optimizations, research, or content variations.

This command merges the results of the highest-ranked agent from a specified or latest session into the base branch. It automates the finalization of a development cycle by ensuring a clean and traceable history. Functionality includes merging the winner's branch, archiving all losing agents' commits using Git tags, and cleaning up temporary worktrees.

The /hub:spawn command launches N subagents that work on the same task simultaneously. Each agent operates within an isolated git worktree, ensuring true parallelism and resource separation. Users can optionally specify templates (e.g., `optimizer`, `refactorer`) to guide agents toward specific strategies for improving code quality, performance, or test coverage. Ideal for complex software engineering tasks requiring diverse, competing approaches.