meta

Prompt AI agents to self-correct using context checks and a guided decision loop.

Updated Jan 19, 2026
One-click install
npx skills add https://github.com/keshav55/writing_team --skill meta-keshav55
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: meta
Source: https://github.com/keshav55/writing_team/tree/main/atris/skills/meta
Command: npx skills add https://github.com/keshav55/writing_team --skill meta-keshav55

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The metacognition skill helps AI agents improve reliability by prompting self-awareness and self-correction before and during tasks.

Core Features & Use Cases

  • Self-awareness prompts to plan before acting.
  • Context checks (MAP, LESSONS) to avoid repeating mistakes.
  • A guided decision loop (Orient, Decide, Act, Check, Learn) to stay focused and improve results.
  • Use case: at session start, during complex tasks, when output feels off, or after mistakes to prevent recurrence.

Quick Start

Activate the meta skill at the start of a task by saying 'activate meta' or 'load meta'.

Frequently Asked Questions about meta

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

FAQPage Schema
How do I add self-correction to an AI workflow to stop it from repeating mistakes?

To add self-correction to an AI workflow, use a metacognition skill that enforces context checks and a guided decision loop to prompt self-awareness during tasks and prevent repeating errors.

What is the best way to improve AI reliability during complex tasks?

The best way to improve AI reliability during complex tasks is applying a guided decision loop that enforces orientation, decision, action, checking, and learning steps to keep the agent focused and self-correct.

How do I activate metacognition for AI self-awareness before acting on a task?

To activate metacognition for AI self-awareness, start your session by saying 'activate meta' or 'load meta' to enforce planning and context checks before the agent acts.

When should I apply a self-check loop to prevent generic or incorrect AI output?

Apply a self-check loop at session start, during complex tasks, when output feels generic or incorrect, or after mistakes to trigger safe escalation and improve results.

Does workflow planning with metacognition require any specific dependencies?

Workflow planning with metacognition requires no specific dependencies, allowing you to integrate self-awareness and self-correction loops into your existing AI agent environment immediately.

Why does my AI agent produce generic output and how can a self-check fix it?

An AI agent produces generic output when it lacks self-awareness; applying a self-check loop enforces context evaluation and safe escalation to correct the output and improve reliability.