hunt

Scan project documents and prioritize next work items by value and effort.

18|2|Updated Mar 2, 2026
One-click install
npx skills add https://github.com/safety-quotient-lab/psychology-agent --skill hunt-safety-quotient-lab
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hunt
Source: https://github.com/safety-quotient-lab/psychology-agent/tree/main/.claude/skills/hunt
Command: npx skills add https://github.com/safety-quotient-lab/psychology-agent --skill hunt-safety-quotient-lab

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you identify the most valuable and relevant next steps for the psychology agent project, preventing stagnation and ensuring focused progress.

Core Features & Use Cases

  • Systematic Work Discovery: Scans various project sources (TODOs, architecture docs, ideas, lessons learned) to find the highest-value next actions.
  • Contextual Awareness: Understands what work is currently in-flight, blocked, or stale to prioritize effectively.
  • Use Case: When you're unsure what to work on next, ask the agent to "hunt" for the highest-value task, and it will present a prioritized list of actionable items.

Quick Start

Ask the agent to hunt for the highest-value next work.

Frequently Asked Questions about hunt

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

FAQPage Schema
How do I discover the highest-value next task for my project?

Task prioritization for project management works by scanning your project sources like TODO lists and architecture documents. It evaluates tasks based on value, effort, and orthogonality to in-flight work to prevent stagnation and ensure focused progress.

What is the best way to find actionable next steps from architecture documents and TODO lists?

The best way to find actionable next steps is systematically scanning architecture documents, cognitive architecture specifications, and lessons learned. The process identifies and ranks work items by evaluating their value and orthogonality to your currently in-flight tasks.

Can I use this task discovery workflow for optimizing cognitive architecture projects?

Yes, this task discovery workflow supports cognitive architecture projects by scanning architecture specifications and lessons learned. It prioritizes work items based on value, effort, and orthogonality to current work to maintain focused progress.

How does task prioritization handle work that is blocked or stale?

Task prioritization handles blocked or stale work by applying contextual awareness to your project sources. It evaluates the orthogonality of discovered tasks against what is currently in-flight, ensuring the ranked list focuses on viable, high-value next actions.

What inputs do I need for workflow optimization to find my next actions?

For workflow optimization to find next actions, you need existing project documentation including TODO lists, architecture documents, cognitive architecture specifications, ideas, and lessons learned files for the agent to scan and rank.