whats-next

Analyze journal entries, MEMO.md, _report files, and MEMORY.md to propose prioritized next steps.

Updated Mar 1, 2026
One-click install
npx skills add https://github.com/hve4638/hve-cc-marketplace --skill whats-next-hve4638
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: whats-next
Source: https://github.com/hve4638/hve-cc-marketplace/tree/main/research/skills/whats-next
Command: npx skills add https://github.com/hve4638/hve-cc-marketplace --skill whats-next-hve4638

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you surface the next actionable tasks by scanning your journal notes and memory references to guide ongoing work.

Core Features & Use Cases

  • Scan recent and historical _journal entries, MEMO.md, and related _report files to surface outstanding tasks.
  • Contextualize MEMORY.md and related notes to maintain continuity across sessions.
  • Recommend a prioritized, concrete next steps list suitable for immediate action.

Quick Start

Ask the AI to scan _journal/MEMO.md, recent _journal entries, related _report files, and MEMORY.md to generate the next actionable tasks.

Frequently Asked Questions about whats-next

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

FAQPage Schema
How do I find next actionable tasks from my journal entries and notes?

To find next actionable tasks from journal entries and notes, you analyze recent _journal files, MEMO.md, MEMORY.md, and related _report documents. This process maintains context continuity and proposes prioritized, concrete steps suitable for immediate execution.

What is the best way to maintain context continuity across research sessions?

The best way to maintain context continuity across sessions is by analyzing MEMORY.md and related memory notes alongside recent _journal entries. This cross-referencing ensures context continuity and surfaces prioritized next steps for ongoing work.

Can I generate task recommendations from _report files and MEMO.md?

Yes, you can generate task recommendations by analyzing _report files and MEMO.md alongside _journal entries. This identifies outstanding tasks and returns a concise, prioritized list of actionable steps without performing external actions.

How does journal analysis work for recommending next steps?

Journal analysis for recommending next steps works by scanning the latest _journal entries and cross-referencing them with MEMORY.md and _report files. This contextualization identifies outstanding tasks and outputs a prioritized, actionable steps list.

Does the next steps recommendation tool perform external actions automatically?

No, the next steps recommendation tool does not perform external actions automatically. It strictly analyzes _journal entries, MEMO.md, and _report files to return a concise, prioritized list of actionable steps suitable for immediate execution by an AI agent.