task-delegation

Coordinate parallel AI agent tasks with role-based delegation and verification rules.

6|Updated May 29, 2026
One-click install
npx skills add https://github.com/fusebase-dev/fusebase-flow --skill task-delegation-fusebase-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: task-delegation
Source: https://github.com/fusebase-dev/fusebase-flow/tree/main/flow-skills/task-delegation
Command: npx skills add https://github.com/fusebase-dev/fusebase-flow --skill task-delegation-fusebase-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the risk of lost work, overlapping edits, and broken accountability when coordinating parallel work across multiple AI agents during app development, ensuring all delegated tasks maintain clear ownership, role boundaries, and end-to-end verification.

Core Features & Use Cases

  • Role-aware delegation rules: Enforces exactly what each role (Product Owner, AI Developer, Architect, Deploy phase) can and cannot delegate, preventing unauthorized code edits or production side effects.
  • Built-in guardrails: Includes turn-completion rules, progress ledgers, and blocked-return protocols to avoid lost work from subagent context death or unbounded waits.
  • Parallel workflow acceleration: Enables splitting independent implementation, test, or read-only investigation slices into parallel subagent tasks to cut delivery time without sacrificing quality.
  • Failure mitigation: Detects and resolves common delegation failures like overlapping write scopes, skipped verification, and out-of-scope worker changes.

Quick Start

Use the task-delegation skill to split your independent, non-overlapping work slices into parallel subagent tasks with clear ownership boundaries and verification requirements.

Frequently Asked Questions about task-delegation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I coordinate parallel AI agents without overlapping edits or losing work?

Coordinating parallel AI agents requires enforcing write scope boundaries and turn-completion rules. This Skill uses progress ledgers and role-based delegation permissions to prevent overlapping edits, context loss, and unauthorized side effects during development.

What are role-aware delegation rules for AI development workflows?

Role-aware delegation rules define exactly what Product Owner, AI Developer, Architect, and Deploy roles can delegate. This prevents unauthorized code edits and production side effects by enforcing strict role boundaries and permissions across subagent tasks.

How do I split independent tasks into parallel subagent slices?

Splitting tasks into parallel subagent slices requires identifying independent implementation, test, or read-only investigation work. This Skill enforces clear ownership boundaries and verification requirements for each slice to accelerate delivery without sacrificing quality.

Can I use parallel agent delegation for read-only investigation and testing slices?

Yes, parallel agent delegation applies to independent implementation, test, and read-only investigation slices. It enforces ground-truth verification requirements and blocked-return protocols to maintain accountability across all parallel subagent tasks.

Why do subagent tasks fail during parallel AI development workflows?

Subagent tasks fail due to overlapping write scopes, skipped verification, and out-of-scope worker changes. This Skill detects these delegation failures and enforces ground-truth verification, progress ledgers, and turn-completion rules to resolve them.

When should I not use parallel subagent coordination for app development?

Avoid parallel subagent coordination when work slices are dependent or overlapping. This Skill requires independent, non-overlapping implementation, test, or read-only investigation slices to safely enforce role accountability and verification integrity.