advisor-insights

Extract and synthesize advisor memories to guide editorial decisions.

Updated Feb 10, 2026

Search Tags:#briefings #memory-retrieval #content-communication #advisor-memories #editorial-notes #editor-workflow

Ready to run

npx skills add https://github.com/peteknowsai/mr-content --skill advisor-insights

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: advisor-insights
Source: https://github.com/peteknowsai/mr-content/tree/main/skills/advisor-insights
Command: npx skills add https://github.com/peteknowsai/mr-content --skill advisor-insights

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill extracts and synthesizes advisor memories to guide editorial decisions across the team, making it easier to align briefs with advisor insights and reduce guesswork.

Core Features & Use Cases

Retrieve memories for individual captains or the entire fleet to inform content priorities.
Create categorized editorial notes (editor-note, content-update, coverage-change) for advisors to review.
Support a simple workflow: analyze memories, identify themes, and draft action-oriented briefings.

Quick Start

Ask the system to fetch advisor memories for a captain and draft an editorial note.

Frequently Asked Questions about advisor-insights

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

FAQPage Schema

How do I retrieve advisor memories to guide editorial decisions?▼

To retrieve advisor memories for editorial decisions, you can fetch data for individual captains or the entire fleet, allowing you to filter insights and align content briefs with predefined categories.

What is the best way to create categorized editorial notes from advisor memories?▼

Creating categorized editorial notes involves extracting advisor memories, identifying themes, and drafting action-oriented briefings using predefined categories like editor-note, content-update, or coverage-change for review.

Can I filter advisor memories across the entire fleet?▼

Yes, you can filter advisor memories across the entire fleet. The system operates across individual captains or the whole fleet, enabling retrieval and filtering to inform content priorities.

How do structured prompts and JSON payloads work with editorial note workflows?▼

Structured prompts and JSON payloads interact with editor tooling by enforcing category validation, ensuring consistent editorial communication and structured data exchange during the note-creation workflow.

Does advisor-insights support coverage-change categories for editorial briefings?▼

Yes, advisor-insights supports coverage-change categories. It enforces category validation for editorial notes, allowing you to use predefined categories like editor-note, content-update, and coverage-change.

Why use memory-retrieval for content-communication workflows?▼

Memory-retrieval for content-communication workflows solves the problem of aligning briefs with advisor insights, reducing guesswork by synthesizing past memories to guide editorial priorities and action-oriented briefings.