How does Work Delegator identify relevant files?

It uses keyword extraction from task descriptions and performs path searches across the project structure to find the most relevant files and code patterns for the current task.

How does the complexity estimation work?

It uses an algorithm that factors in estimated hours and technical signals like API changes, database modifications, or security requirements to label tasks as simple, medium, or complex.

Does it integrate with existing project management tools?

Yes, it specifically operates on local project files like .pm/backlog/items.yaml and follows project roadmap configurations for context.

What is a delegation package in this context?

A delegation package is a structured JSON document containing backlog details, project context, relevant files, specific instructions, and success criteria tailored for an AI agent to execute a task.

Which agents can Work Delegator recommend?

It suggests the best-fit agent based on task type, including 'builder' for implementation, 'tester' for quality assurance, 'reviewer' for audits, and 'architect' for complex design work.

Work Delegator

Name: Work Delegator
Author: rysweet

byrysweet

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생산성 및 워크플로

Automates the creation of comprehensive context packages and instructions for delegating coding tasks to specialized AI agents.

소개

Work Delegator is a specialized skill designed to streamline the handoff between project planning and execution in agentic workflows. It analyzes backlog requirements to generate rich delegation packages—complete with relevant file identification, architectural guidance, and success criteria—ensuring that downstream coding agents have the exact context needed to complete tasks accurately. By assessing task complexity and recommending specific agent roles such as builder, reviewer, or tester, it minimizes ambiguity and maximizes the efficiency of multi-agent development cycles.

주요 기능

Complexity assessment algorithm based on technical signals and estimated hours
16 GitHub stars
Automated delegation package generation in standardized JSON format
Intelligent file discovery and context gathering using keyword analysis
Seamless integration with project backlog and roadmap management files
Role-specific instruction templates for builders, testers, and reviewers

사용 사례

Coordinating multi-stage workflows for complex architectural changes by assigning specific roles
Preparing a builder agent with all necessary context to implement a new feature from a backlog item
Generating specialized test requirements and regression scenarios for bug fix delegation

소개

주요 기능

Complexity assessment algorithm based on technical signals and estimated hours
16 GitHub stars
Automated delegation package generation in standardized JSON format
Intelligent file discovery and context gathering using keyword analysis
Seamless integration with project backlog and roadmap management files
Role-specific instruction templates for builders, testers, and reviewers

사용 사례

Coordinating multi-stage workflows for complex architectural changes by assigning specific roles
Preparing a builder agent with all necessary context to implement a new feature from a backlog item
Generating specialized test requirements and regression scenarios for bug fix delegation