Coordinate parallel subagents to decompose, execute, verify, and fix shared tasks.
npx skills add https://github.com/HyperionBurn/searchv1beta --skill team-hyperionburn
Please help me install this Agent Skill. Skill: team Source: https://github.com/HyperionBurn/searchv1beta/tree/main/.github/skills/team Command: npx skills add https://github.com/HyperionBurn/searchv1beta --skill team-hyperionburn
It solves the problem of completing large, multi-file tasks faster and more reliably by decomposing work into coordinated parallel subtasks with verification and targeted fixes.
Use cases: large refactors, migrations, multi-service changes, and UI/logic updates that benefit from parallel implementation and post-change verification.
Ask the system to split your work into multiple parallel agents and run the full staged team pipeline to deliver the completed outcome for your described task.
High-intent search queries and answers about installing and using this skill.
You can coordinate parallel agents for multi-file codebase refactoring by decomposing the shared task into dependency-aware subtasks, spawning N specialized subagents, and monitoring progress through a staged pipeline of planning, execution, and verification.
The best way to execute large software migrations with parallel subagents is using a staged pipeline that routes work to specialist agent types per stage, ensuring coordinated execution and iterative fixes through a bounded verify/fix loop.
Yes, you can resume multi-agent pipeline coordination after interruptions because the system enforces stage entry and exit criteria with resume-friendly handoffs, allowing targeted fixes and continued progress via task polling.
Task decomposition for multi-module engineering work works by parsing N agents and optional modifiers to split a shared task into dependency-aware parallel subtasks, routing each to specialized workers for execution and verification.
You need bounded retries and a verify/fix loop for codebase changes when completing multi-service modifications or UI logic updates that require iterative validation and targeted fixes to ensure reliable parallel implementation.
A limitation of using parallel agents for multi-service changes is that the system requires parsing N and optional agent-type modifiers, and completion depends on a bounded retry loop, meaning complex dependency graphs may constrain parallel execution.
thirteen37Orchestrate complex task lists by spawning and managing specialized sub-agents.
carlosrobertodevopsOrchestrate autonomous loops to plan, execute, verify, and learn from codebase changes.
chrisxue90Route swarm invocations to the Team skill's staged pipeline.
outfitter-devCoordinate baselayer subagents for task delegation and workflow orchestration.
