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work-delegator

Create delegation packages for AI coding agents with Python-generated JSON output.

1|Updated Nov 11, 2025
Search Tags:#workflow automation#delegation#code context#backlog management#agent instructions#task assignment
One-click install
npx skills add https://github.com/rysweet/RustyClawd --skill work-delegator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: work-delegator
Source: https://github.com/rysweet/RustyClawd/tree/main/.claude/skills/work-delegator
Command: npx skills add https://github.com/rysweet/RustyClawd --skill work-delegator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires PyYAML, argparse, json, re, sys, pathlib, typing, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of assigning tasks to AI agents by creating comprehensive context packages, ensuring agents have all necessary information to succeed.

Core Features & Use Cases

  • Delegation Package Creation: Generates detailed packages including backlog item info, project context, agent instructions, relevant files, and success criteria.
  • Requirement Analysis & Complexity Assessment: Categorizes work (feature, bug, etc.) and estimates complexity (simple, medium, complex).
  • Agent Recommendation: Suggests the most suitable agent (builder, reviewer, tester) based on task requirements.
  • Use Case: When a user wants to delegate a new feature, this Skill analyzes the backlog item, identifies related code files, generates step-by-step instructions for the 'builder' agent, and defines clear success criteria.

Quick Start

Use the work-delegator skill to create a delegation package for backlog item BL-001, assigning it to the builder agent.

Frequently Asked Questions about work-delegator

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

FAQPage Schema
How do I create delegation packages for AI coding agents with full code context?▼

This Skill automates delegation package creation by analyzing backlog items, categorizing work type, estimating complexity, identifying relevant code files, and formatting step-by-step instructions as JSON output.

How do I assign tasks to AI agents with sufficient project context?▼

Task assignment requires generating a context package containing backlog item info, project context, relevant file paths, agent instructions, and success criteria to ensure the AI agent has necessary information.

Can I estimate task complexity and categorize work for backlog management?▼

Yes, backlog management automation can categorize work types like features or bugs and estimate complexity levels such as simple, medium, or complex by analyzing requirement details.

Does the agent instruction generation suggest the right AI agent for a task?▼

Yes, agent recommendation functionality suggests the most suitable AI agent—such as a builder, reviewer, or tester—based on the analyzed task requirements and complexity assessment.

What format does the delegation package output use for agent instructions?▼

The delegation package output is formatted as JSON, structuring backlog item analysis, identified relevant files, agent instructions, and success criteria for automated workflow processing.

Do I need Python to automate task assignment and generate agent instructions?▼

Yes, Python is required along with PyYAML, as the task assignment automation relies on Python scripts using argparse, json, re, and pathlib to analyze requirements and generate instruction packages.

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