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next

Combine task stack, queue state, inbox pressure, health, and goals to determine the next action.

Updated Jan 8, 2026
Search Tags:#workflow#productivity#ai-assistant#decision-support#task-prioritization#next-action#multi-signal
One-click install
npx skills add https://github.com/lightningfastsls/London_Lab --skill next-lightningfastsls
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: next
Source: https://github.com/lightningfastsls/London_Lab/tree/main/.claude/skills/next
Command: npx skills add https://github.com/lightningfastsls/London_Lab --skill next-lightningfastsls

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Surface the most valuable next action by combining task stack, queue state, inbox pressure, health, and goals to determine the one most impactful step. This reduces decision fatigue and speeds up execution in dynamic work environments.

Core Features & Use Cases

  • Integrates signals from tasks, queues, inbox workload, personal health, and goals to generate a single recommended next action with rationale.
  • Provides a concrete next-action proposal and justification to guide work in fast-moving contexts (daily planning, sprint prioritization, incident response).
  • Use cases include prioritizing a conflicting backlog, choosing a recovery step after a disruption, and deciding between competing projects.

Quick Start

Ask for the next best action by saying '/next' to receive a single recommended action with rationale.

Frequently Asked Questions about next

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

FAQPage Schema
How do I determine the best next action when facing conflicting task priorities?▼

A multi-signal task prioritization engine evaluates task stacks, queues, inbox pressure, health, and goals to output a single recommended next action with deterministic rationale.

What is multi-signal task prioritization and how does it reduce decision fatigue?▼

Multi-signal task prioritization combines task stacks, queue states, inbox pressure, and goals to output one deterministic action, eliminating decision fatigue in dynamic work environments.

How do I get a recommended next action for daily planning or sprint prioritization?▼

Trigger the engine via '/next' to process task queues and goals, yielding a concrete next-action proposal with justification for daily planning or sprint prioritization.

Can I use an AI assistant to choose a recovery step after a workflow disruption?▼

Use an AI assistant to evaluate disrupted queue states and task stacks, outputting a single recovery action with rationale to navigate fast-moving contexts and restore workflow momentum.

Does this next-action recommendation engine work for incident response scenarios?▼

The next-action recommendation engine analyzes queue states and inbox pressure to output deterministic actions with rationale, specifically speeding up execution during incident response scenarios.

What are the limitations of using a deterministic next-action engine for task prioritization?▼

A deterministic next-action engine outputs a single action rather than a customizable list, requiring accurate multi-signal inputs from task stacks, queues, inbox pressure, and goals to function effectively.

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