Discover markdown-based agent definitions and dispatch parallel teams for unified results.
npx skills add https://github.com/gganbukim1/myskills --skill team-builder-gganbukim1
Please help me install this Agent Skill. Skill: team-builder Source: https://github.com/gganbukim1/myskills/tree/main/team-builder Command: npx skills add https://github.com/gganbukim1/myskills --skill team-builder-gganbukim1
Team Builder helps you discover available agent personas, compose a focused multi-agent team, and dispatch their work in parallel so you get coordinated results faster.
Use the team-builder skill to select the most relevant agents for your task and ask it to run them in parallel on your described objective.
High-intent search queries and answers about installing and using this skill.
Running multiple AI agents in parallel involves selecting specialized agent personas and dispatching them simultaneously on your objective. This skill composes a focused multi-agent team and executes their work concurrently to deliver coordinated results faster.
Agent orchestration coordinates multiple specialized AI personas to work on a single deliverable. It dispatches selected agents simultaneously, reports per-agent failures, and synthesizes unified results highlighting agreements, tensions, and next steps.
Yes, you can use markdown files to define agents. The system dynamically probes local and global directories for markdown-based agent definitions, deduplicates them by agent name, and supports both flat and subdirectory layouts for flexible discovery.
You can assign a hard cap of five agents to a parallel workflow team. This limit ensures manageable coordination while allowing you to combine diverse specialties like security, SEO, and architecture for a single deliverable.
Multi-agent synthesis fully supports cross-domain tasks by combining specialties like security, SEO, and architecture into one team. It runs the selected experts in parallel and produces a unified synthesis of their combined output.
The main limitation for composing a parallel execution team is a hard cap of five agents. Additionally, the system requires markdown-based agent definitions to exist in your filesystem, and individual agent failures are reported separately rather than failing the entire batch.
samymitySelect multiple agent personas and dispatch them in parallel to synthesize a unified response.
himanshu231204Automate selection, parallel dispatch, and result synthesis of multiple AI agents.
hanibalskCoordinate multiple Claude agent threads with isolated git worktrees.
frankxaiCoordinate multi-agent collaboration using orchestration patterns like Sequential Pipeline and Parallel Fan-Out.
