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Alex1980Alex
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delegation-classifier

Classify delegation tasks for Z.AI through PRE-TASK analysis and outcome recording.

1|Updated Sep 20, 2025
Search Tags:#automation#learning#delegation#classification#outcomes#z-ai
One-click install
npx skills add https://github.com/Alex1980Alex/1C-Enterprise_Framework --skill delegation-classifier
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: delegation-classifier
Source: https://github.com/Alex1980Alex/1C-Enterprise_Framework/tree/main/.claude/skills/delegation-classifier
Command: npx skills add https://github.com/Alex1980Alex/1C-Enterprise_Framework --skill delegation-classifier

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PRE-TASK analysis and learning for delegation decisions within Z.AI, reducing wasted effort and improving outcomes.

Core Features & Use Cases

  • PRE-TASK analysis with output size estimation, content-type awareness, and level classification.
  • Outcome tracking and learning loop to improve future delegation decisions.
  • Decomposition and orchestration prompts for complex tasks.

Quick Start

Run PRE-TASK analysis on the incoming task and log the outcome for future learning.

Frequently Asked Questions about delegation-classifier

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

FAQPage Schema
How do I classify delegation tasks to determine the right automation level in Z.AI?▼

Pre-task analysis for delegation tasks evaluates output size, content type, and historical outcomes to assign a delegation level. This proactive classification reduces wasted effort and improves automation results.

What is pre-task analysis for delegation and when do I need it?▼

Pre-task analysis for delegation evaluates an incoming task's content type and output size before execution to assign a delegation level. You need it when automating workflows to prevent routing errors and wasted effort.

How do I track delegation outcomes to create a learning loop for future tasks?▼

Tracking delegation outcomes involves recording task results after execution to establish a learning loop. This historical outcome data improves future delegation level decisions by referencing past performance.

Does the delegation classifier handle tasks with varying output sizes and content types?▼

Yes, the delegation classifier handles tasks of varying content types and output sizes. It uses these parameters during pre-task analysis to accurately determine the appropriate delegation level for diverse automation scenarios.

What's the best way to decompose complex tasks for delegation and orchestration?▼

The best way to decompose complex tasks for delegation is applying orchestration prompts after pre-task analysis. This breaks down large inputs into manageable components, ensuring accurate level classification and outcome tracking.

Why does delegation automation fail without impact estimation and history checks?▼

Delegation automation fails without impact estimation and history checks because tasks are assigned incorrect delegation levels. Pre-task analysis prevents this by evaluating parameters and referencing past outcomes before execution.

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