reflect

Forces AI to extract learnings and suggest spec improvements before task completion.

13|1|Updated Feb 14, 2026
One-click install
npx skills add https://github.com/davidabeyer/formaltask --skill reflect-davidabeyer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reflect
Source: https://github.com/davidabeyer/formaltask/tree/main/skills/reflect
Command: npx skills add https://github.com/davidabeyer/formaltask --skill reflect-davidabeyer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill ensures that learnings and insights are captured before a task is finalized, preventing knowledge loss and improving future planning by prompting self-reflection and analysis of related tasks.

Core Features & Use Cases

  • Mandatory Reflection: Forces AI to extract learnings and identify spec improvements before task completion.
  • Contextual Awareness: Reviews sibling tasks to provide a more holistic understanding of the project.
  • Use Case: When working on a complex feature, this Skill ensures the AI articulates what it learned, potential pitfalls encountered, and how the specification could be refined, before marking the task as done.

Quick Start

Use the reflect skill to capture your learnings from the current task.

Frequently Asked Questions about reflect

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

FAQPage Schema
How do I capture AI agent learnings before task completion?

Capturing AI learnings involves prompting the agent for self-reflection and analysis of related tasks prior to finalizing a task, ensuring implicit knowledge and spec improvement suggestions are recorded.

What is AI self-reflection in a software engineering workflow?

AI self-reflection in a software engineering workflow is a process where agents articulate what they learned, identify potential pitfalls, and analyze sibling tasks to ensure a more holistic project understanding.

How do I prevent knowledge loss when AI completes complex features?

To prevent knowledge loss when AI completes complex features, implement mandatory reflection to extract learnings and refine specifications before the task is marked as done.

Does mandatory AI reflection work with concurrent sibling tasks?

Yes, mandatory AI reflection works with concurrent sibling tasks by ensuring context from these related tasks is considered after initial reflection, providing a more holistic project understanding.

When should I use a reflection step in my AI workflow?

You should use a reflection step in your AI workflow when working on complex features, ensuring the AI articulates learnings, encountered pitfalls, and spec refinements before finalizing the task.