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.