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goal

Drive AI interactions toward a persistent objective until completion.

3|Updated Apr 6, 2026
Search Tags:#AI interaction#coding workflow#goal management#work persistence#objective pursuit
One-click install
npx skills add https://github.com/X0x888/oh-my-claude --skill goal-x0x888
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: goal
Source: https://github.com/X0x888/oh-my-claude/tree/main/bundle/dot-claude/skills/goal
Command: npx skills add https://github.com/X0x888/oh-my-claude --skill goal-x0x888

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the challenge of maintaining focus on a single objective throughout an AI interaction, ensuring that work continues until the goal is achieved or it hits a non-passable wall.

Core Features & Use Cases

  • Persistent Goal Declaration: Users can set a goal that the AI drives towards, re-anchoring it at each stop and blocking premature exits.
  • Lifecycle Management: Offers subcommands to manage the goal's lifecycle, including setting, pausing, resuming, clearing, and marking as done.
  • Verification: Requires the AI to complete a freshness audit and provide evidence of achievement before marking a goal as done.
  • Use Case: Ideal for coding tasks, where maintaining a single objective across multiple steps is crucial, such as ensuring all tests pass before claiming completion.

Quick Start

To set a goal, use the command: /goal <objective>.

Frequently Asked Questions about goal

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

FAQPage Schema
How do I keep an AI focused on a single objective throughout a coding workflow?▼

To keep an AI focused on a single objective, you can set a persistent goal that re-anchors the interaction at each step and blocks premature exits until the objective is achieved or hits a non-passable wall.

What is persistent goal management for AI interactions?▼

Persistent goal management drives an AI interaction towards a specific objective, ensuring continuous focus and lifecycle control through setting, pausing, resuming, and clearing goals until completion.

How do I verify an AI has achieved a coding objective before ending the interaction?▼

To verify an AI has achieved an objective, the system requires a freshness audit and evidence of achievement before allowing the goal to be marked as done, preventing false completion claims.

Can I pause and resume a complex problem-solving task in an AI interaction?▼

Yes, you can pause and resume a complex problem-solving task using specific lifecycle management subcommands, which temporarily halt objective pursuit without losing the established goal context.

Does persistent objective pursuit work for multi-step coding tasks?▼

Yes, persistent objective pursuit is ideal for multi-step coding tasks, ensuring the AI maintains focus on a single target, such as ensuring all tests pass, across various interaction stages.

Why does my AI interaction stop before reaching the final goal?▼

AI interactions stop before reaching a goal due to premature exits; setting a persistent objective blocks these exits and enforces continuous focus until a non-passable wall is hit or verification passes.

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