recall

Name: recall
Availability: InStock
Author: euda1mon1a

Search episodic task history for lessons from prior work.

Updated Aug 27, 2026

Search Tags:#debugging #recall #memory #history #lessons learned #task history

Ready to run

npx skills add https://github.com/Euda1mon1a/Autonomous-Assignment-Program-Manager --skill recall-euda1mon1a

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: recall
Source: https://github.com/Euda1mon1a/Autonomous-Assignment-Program-Manager/tree/main/.claude/skills/recall
Command: npx skills add https://github.com/Euda1mon1a/Autonomous-Assignment-Program-Manager --skill recall-euda1mon1a

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps prevent repeating past mistakes and leverages previous successes by searching through an agent's episodic task history.

Core Features & Use Cases

Failure Prevention: Identifies past tasks that failed and provides the lessons learned, preventing similar errors.
Knowledge Reuse: Surfaces successful past approaches to similar problems, accelerating task completion.
Use Case: Before modifying a complex scheduling algorithm, you can use /recall to see if similar changes were attempted before and what the outcome was, potentially saving significant debugging time.

Quick Start

Search task history for lessons related to "scheduling engine changes".

Frequently Asked Questions about recall

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

FAQPage Schema

How do I search task history to prevent repeating past debugging failures?▼

You can search task history to prevent repeating past debugging failures by querying prior agent work. The system retrieves episodic task history to surface relevant lessons learned from past failures and successes.

What is the best way to find lessons learned from similar tasks before modifying complex code?▼

The best way to find lessons learned from similar tasks is querying historical agent work using relevant search terms. This surfaces actionable warnings and insights about prior successes and failures relevant to your current code modifications.

How does searching episodic task history surface warnings for current development tasks?▼

Searching episodic task history surfaces warnings by retrieving prior agent work related to your query. It formats past failures and successful approaches into actionable insights, preventing similar errors during current development tasks.

Can I reuse successful past approaches to accelerate debugging and task completion?▼

You can reuse successful past approaches to accelerate debugging by searching episodic task history. The search retrieves relevant prior successes and formats them as actionable insights, allowing you to leverage proven strategies.

Does recalling task history require any specific dependencies or environment setup?▼

Recalling task history requires no specific dependencies or environment setup. It operates independently using internal tools to query episodic task history and retrieve relevant lessons learned from prior agent work.