Analyze session state, git history, and business threads to recommend ranked next commands.

10|1|Updated Jun 29, 2026

Search Tags:#automation #workflow #productivity #navigation #decision-support

Ready to run

npx skills add https://github.com/mishahanin/heading-os --skill next-mishahanin

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: next
Source: https://github.com/mishahanin/heading-os/tree/main/.claude/skills/next
Command: npx skills add https://github.com/mishahanin/heading-os --skill next-mishahanin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill eliminates decision fatigue by analyzing your recent work history and business threads to recommend the most logical next action, ensuring you stay on course without needing to manually re-orient yourself.

Core Features & Use Cases

State-Aware Recommendations: Analyzes session handoffs, recent git commits, and active business threads to suggest 2-4 ranked next steps.
Read-Only Guidance: Provides the exact slash-command to run for the next task without executing it, preserving executive sovereignty.
Use Case: After completing a research brief, ask the system what to do next to receive a direct recommendation like running the content generation skill, keeping your workflow momentum high.

Quick Start

Ask the system what the logical next step is based on your recent activity to receive a ranked list of recommended commands.

Frequently Asked Questions about next

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

FAQPage Schema

How do I get recommendations for the next logical step in my workflow?▼

To get next-step recommendations, the system analyzes your session state, recent git commits, and active business threads to suggest 2-4 ranked operational commands. It provides read-only guidance by showing the exact slash-command to run without executing it.

What is context-aware workflow navigation and how does it work?▼

Context-aware workflow navigation works by evaluating your recent work history and business threads to recommend the most logical next action. It processes local signals and skill-graph relationships to help you maintain workflow momentum without manual re-orientation.

How do I eliminate decision fatigue during mid-session work?▼

You eliminate decision fatigue by asking the system for the logical next step based on your recent activity. It analyzes session handoffs and recent commits to output a direct recommendation, such as running a content generation skill after completing a research brief.

Does the next-step recommender automatically execute suggested commands?▼

No, the next-step recommender does not automatically execute commands. It provides read-only guidance that outputs the exact slash-command to run for the next task, preserving your executive sovereignty and ensuring you stay on course safely.

What do I need to use a context-aware operational command recommender?▼

You need an environment that allows access to local scripts for signal processing and skill-graph relationship lookups. The recommender relies on analyzing your existing session state, git history, and business threads to function properly.

When should I use an automated next-step recommender for workflow continuity?▼

You should use an automated next-step recommender during mid-session navigation when you need workflow continuity in executive environments. It is ideal after completing a task and needing immediate, ranked suggestions to keep your operational momentum high.