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senior-attention-queue

Prioritize expert decision requests by impact, urgency, and evidence into a queue with delegation paths.

Updated Jun 1, 2026
Search Tags:#workflow#prioritization#governance#delivery#decision-making#expert-attention
One-click install
npx skills add https://github.com/aurora-atoms/lattice --skill senior-attention-queue
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: senior-attention-queue
Source: https://github.com/aurora-atoms/lattice/tree/main/skills/senior-attention-queue
Command: npx skills add https://github.com/aurora-atoms/lattice --skill senior-attention-queue

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the problem of expert bottlenecking by transforming an undifferentiated backlog of requests into a transparent, evidence-backed decision queue that ensures scarce senior attention is focused on the most material blockers.

Core Features & Use Cases

  • Evidence-Based Prioritization: Orders requests based on material impact, latest-safe decision times, and reversibility rather than volume or seniority.
  • Delegation Support: Clearly separates expert judgment tasks from delegable preparation work to maximize efficiency.
  • Use Case: A technical lead is overwhelmed by architecture review requests; this Skill processes the incoming requests to identify which ones are ready for immediate expert decision and which require further research by others.

Quick Start

Use the senior-attention-queue skill to process the current backlog of decision requests and generate a prioritized queue for the lead architect.

Frequently Asked Questions about senior-attention-queue

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

FAQPage Schema
How do I prioritize a backlog of decision requests for senior experts?▼

A prioritized decision queue for senior experts transforms bounded requests into an evidence-backed queue ordered by material impact, latest-safe decision times, and reversibility rather than volume or seniority.

How do I manage expert bottlenecking in technical and governance workflows?▼

Managing expert bottlenecking in technical and governance workflows requires processing an undifferentiated backlog into a decision-ready queue that separates expert judgment tasks from delegable preparation work to maximize efficiency.

What is the best way to structure architecture review requests for a overwhelmed technical lead?▼

Structuring architecture review requests for an overwhelmed technical lead requires using structured input of impact, urgency, and evidence to generate a decision-ready queue that clearly separates ready decisions from items requiring further research by others.

Can I separate expert judgment tasks from delegable preparation work in a decision queue?▼

Yes, you can separate expert judgment tasks from delegable preparation work in a decision queue to maximize efficiency, ensuring scarce senior attention is reserved for actual decisions rather than prerequisite research.

Does generating a prioritized decision queue require specific input data?▼

Generating a prioritized decision queue requires structured input of impact, urgency, and evidence for each bounded expert decision request to accurately order items and establish clear delegation paths.

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