orient-simple

Select the highest-scored unblocked task from TASKS.md for an AI agent.

46|5|Updated Mar 7, 2026
One-click install
npx skills add https://github.com/victoriacity/openakari --skill orient-simple
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: orient-simple
Source: https://github.com/victoriacity/openakari/tree/main/.claude/skills/orient-simple
Command: npx skills add https://github.com/victoriacity/openakari --skill orient-simple

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps an AI agent quickly and efficiently select the next task to work on at the beginning of a session, ensuring productivity and focus.

Core Features & Use Cases

  • Task Prioritization: Evaluates and ranks available tasks based on project priority, task value, and completion clarity.
  • Mission Gap Identification: Ensures that critical project objectives are not overlooked by creating tasks for unmet "Done when" conditions.
  • Use Case: At the start of a research session, the AI agent uses this Skill to review all open tasks, identify the most critical one based on project goals and urgency, and then marks it as "in-progress" to begin work.

Quick Start

Use the orient-simple skill to select the highest-scored unblocked task from TASKS.md.

Frequently Asked Questions about orient-simple

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

FAQPage Schema
How do I select the highest priority task for an AI agent at the start of a session?

To select the highest priority task for an AI agent, the Skill reads TASKS.md and project READMEs to evaluate unblocked tasks based on project priority, task value, and concrete completion conditions. It then identifies and marks the top-scored task as in-progress to begin work.

What is the best way to find mission gaps in project management tasks?

Finding mission gaps involves evaluating critical project objectives against existing unblocked tasks to identify unmet "Done when" conditions. The Skill automatically generates new tasks for these mission gaps to ensure critical project objectives are not overlooked during task prioritization.

How does task prioritization work for AI workflow automation?

Task prioritization for AI workflow automation calculates a score for each unblocked task by analyzing project priority, task value, and completion clarity from TASKS.md. The highest-scored task is selected, ensuring the AI agent focuses on the most critical work first.

Do I need a TASKS.md file to use AI agent task selection?

Yes, you need a TASKS.md file to use AI agent task selection. The Skill requires reading TASKS.md and project READMEs to determine task suitability, evaluate completion conditions, and identify the highest-scored unblocked task available for the session.

Can I use this Skill for task selection without defining concrete completion conditions?

You can use this Skill without concrete completion conditions, but task prioritization heavily weights completion clarity. Tasks with clearly defined completion conditions in TASKS.md will receive higher scores, ensuring the AI agent selects work with measurable and definitive endpoints.

Why does my AI agent struggle to identify the right task to work on at session start?

An AI agent struggles to identify the right task at session start when it lacks a structured scoring mechanism for project priority and task value. This Skill resolves the issue by reading TASKS.md to systematically rank unblocked tasks and highlight critical mission gaps.