next

Recommend a single next action from task stack, queue, inbox, health, and goals.

1|Updated Mar 6, 2026
One-click install
npx skills add https://github.com/adiman9/mnemos --skill next-adiman9
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: next
Source: https://github.com/adiman9/mnemos/tree/main/core/skills/next
Command: npx skills add https://github.com/adiman9/mnemos --skill next-adiman9

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Recommends a single most valuable next action by integrating task stack, queue state, inbox pressure, health signals, and goals to guide execution with clear rationale.

Core Features & Use Cases

  • Integrates multi-source signals (task stack, queue, inbox, health, goals) to surface a concrete action.
  • Provides rationale for the recommendation to support auditable decisions and easier justification to stakeholders.
  • Applies to AI agents and operators managing vault-based workflows for prioritization and planning.

Quick Start

Ask mnemos to compute the single most valuable next action with rationale using current task stack, queue state, inbox pressure, health, and goals.

Frequently Asked Questions about next

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

FAQPage Schema
How do I determine the next best action from multiple task queues and health signals?

To determine the next best action, this Skill integrates your task stack, queue state, inbox pressure, health signals, and goals to produce a single prioritized recommendation with clear rationale for immediate execution.

What is next-action prioritization in a vault-based workflow?

Next-action prioritization in a vault-based workflow evaluates task stacks, inbox pressure, and goals to recommend a single most valuable action. It provides deterministic, auditable decisions suitable for AI agents coordinating dynamic projects.

How do I get a rationale for task prioritization recommendations?

You get a rationale for task prioritization recommendations by having the Skill integrate your queue state, health signals, and goals. It produces a deterministic recommendation that includes alignment with goals to support auditable stakeholder decisions.

Can I use this for AI agent planning in dynamic projects?

Yes, you can use this for AI agent planning in dynamic projects. It applies specifically to AI agents and operators managing vault-based workflows, reading observations and tensions to output a concrete action for prioritization.

What's the best way to integrate inbox pressure and health signals into planning?

The best way to integrate inbox pressure and health signals into planning is using this Skill to read ops queues and observations. It synthesizes these multi-source signals to surface a single most valuable next action with deterministic rationale.

Do I need existing ops queues and goals to compute a next-action recommendation?

Yes, you need existing ops queues, observations, tensions, and goals to compute a next-action recommendation. The Skill reads these inputs to apply deterministic prioritization logic and produce an output suitable for immediate action.