learn

Maintain a persistent append-only knowledge base of platform-specific behaviors.

Updated Jul 29, 2026

Search Tags:#automation #documentation #marketing #troubleshooting #learning #knowledge

Ready to run

npx skills add https://github.com/akvinayaktiwari/mstack --skill learn-akvinayaktiwari

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: learn
Source: https://github.com/akvinayaktiwari/mstack/tree/main/learn
Command: npx skills add https://github.com/akvinayaktiwari/mstack --skill learn-akvinayaktiwari

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires jq.

What problem does it solve?

This skill solves the issue of knowledge decay in marketing automation by providing a structured way to record platform-specific quirks, undocumented behaviors, and corrections to existing workflows.

Core Features & Use Cases

Knowledge Capture: Log platform facts and corrections to ensure the agent learns from past mistakes.
Searchable History: Query past findings to avoid re-deriving solutions to known issues like 403 errors or UI changes.
Workflow Maintenance: Manage a queue of pending corrections to keep documentation and adapter logic aligned with live platform surfaces.

Quick Start

Use the learn skill to record a new fact about the Meta ads library behavior after you encounter an unexpected result.

Frequently Asked Questions about learn

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

FAQPage Schema

How do I document platform-specific quirks in marketing automation workflows?▼

To document marketing automation quirks, you can log platform-specific facts and corrections into a persistent, append-only knowledge base. This records observed behaviors and evidence to prevent knowledge decay across ad platform workflows.

Why does my automation agent keep repeating the same mistakes on ad platforms?▼

Your agent repeats mistakes because it lacks a persistent memory of past corrections. By indexing observed facts and evidence into a local state ledger, the agent can query past findings and avoid re-deriving solutions to known issues.

Can I use this to fix broken marketing workflows caused by undocumented UI changes?▼

Yes, you can fix broken marketing workflows by managing a queue of pending corrections. This keeps your documentation and adapter logic aligned with live platform surfaces after unexpected UI changes or errors occur.

Do I need shell access to manage a local state ledger for marketing automation fixes?▼

Yes, shell access is required to execute the mstack-learn binary and manage the local state ledger. You also need the jq dependency installed to process the structured data within the knowledge base.

What is the best way to maintain knowledge of undocumented behaviors across various ad platforms?▼

The best way to maintain knowledge of undocumented behaviors is using an append-only ledger to record platform-specific quirks. This creates a searchable history of workflow corrections, ensuring agent reliability across various ad platforms.