retrieve-first-gate

Require free-recall attempts and confidence ratings before providing explanations.

583|96|Updated Mar 1, 2026
One-click install
npx skills add https://github.com/GarethManning/education-agent-skills --skill retrieve-first-gate
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: retrieve-first-gate
Source: https://github.com/GarethManning/education-agent-skills/tree/main/skills/student-learning/retrieve-first-gate
Command: npx skills add https://github.com/GarethManning/education-agent-skills --skill retrieve-first-gate

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It prevents the learner from being passively explained to before they attempt to retrieve knowledge, which is a key reason learning sticks or fails.

Core Features & Use Cases

  • Forces free recall first: requires a student to produce an initial recall attempt and a 0–100 confidence rating before any explanation is given.
  • Gap-and-misconception targeting: evaluates what is accurate, missing, or misconceived and then focuses follow-up help only on the identified gaps.
  • Confidence calibration loop: collects confidence before and after the attempt and uses the delta to guide the next step, including warm-start activation when needed.
  • Use Case: A student asks for help with a topic they “sort of know”; the skill turns that moment into a structured retrieval practice session that builds durable understanding rather than replacing it with an immediate answer.

Quick Start

Use the retrieve-first-gate skill to run a study coaching session where the AI first asks for a 0–100 confidence rating and then prompts the learner to free-recall the topic before receiving any explanation.

Frequently Asked Questions about retrieve-first-gate

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

FAQPage Schema
How does retrieval practice improve student study sessions?

Retrieval practice improves study sessions by requiring a student to free-recall information and rate their confidence before receiving any explanation, which prevents passive learning and builds durable understanding. The coaching then targets only identified knowledge gaps.

What is the testing effect and how do I apply it when learning?

The testing effect is the cognitive mechanism where actively recalling information strengthens memory. You apply it by attempting free recall of a topic and providing a confidence rating before an AI coach explains the material, ensuring learning sticks.

How do I use free recall to identify and fix my knowledge gaps?

To use free recall for fixing knowledge gaps, you first attempt to recall a topic from memory and rate your confidence. The system evaluates your attempt to identify accurate parts, missing components, and misconceptions, then coaches you only on those specific gaps.

Can I use confidence calibration to check if I actually know a topic?

Yes, confidence calibration checks your actual knowledge by collecting a 0–100 confidence rating before and after a free-recall attempt. The delta between these ratings guides the next study step and activates warm-start recovery if your initial confidence was misaligned.

What is the best way to stop passive reading and build durable understanding?

The best way to stop passive reading and build durable understanding is to enforce desirable difficulties like a cognitive gate. This forces an initial free-recall attempt and confidence rating before any teaching occurs, turning help requests into active retrieval practice.

When should I not use a free-recall cognitive gate for student review?

You should not use a free-recall cognitive gate when a student is encountering completely new material for the first time, as retrieval practice requires some existing foundational knowledge to attempt an initial recall and benefit from gap-and-misconception targeting.