content-radar

Monitors LinkedIn authors and B2B topics to generate prioritized content angles in a Google Doc.

Updated Apr 8, 2026
One-click install
npx skills add https://github.com/stefanomartiradonna/claude-skills --skill content-radar-stefanomartiradonna
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: content-radar
Source: https://github.com/stefanomartiradonna/claude-skills/tree/main/content-radar
Command: npx skills add https://github.com/stefanomartiradonna/claude-skills --skill content-radar-stefanomartiradonna

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Content strategists and product marketers struggle to keep their editorial pipeline fed with fresh, relevant signals instead of generic industry noise. This Skill runs a biweekly radar that scans what key LinkedIn authors published and what is circulating on core B2B topics, then converts those signals into ready-to-use content angles tied to your own point of view. ## Core Features & Use Cases - Author Radar: Browses recent LinkedIn activity of a configurable watchlist of authors (via Chrome MCP) and extracts notable posts from the last 15 days with anti-noise rules. - Topic Radar: Runs targeted web searches on core themes (B2B positioning, early stage, growth, product marketing, GTM) and filters out anything not connectable to your core arguments. - Editorial Synthesis: Maps every surviving signal to three coordinates (POV, content type, buyer trigger) and produces 5-8 prioritized angles with hook, format, timing rationale, and source. - Google Doc Report: Generates a structured report (executive summary, author highlights, topic signals, angles, knowledge candidates, process notes) and logs each cycle in the project repo. - Use Case: A fractional product marketing consultant runs the radar every two weeks to feed LinkedIn posts and Substack articles with angles that reinforce their positioning POV, instead of starting from a blank page. ## Quick Start Run the content radar to scan my watchlist authors and core topics from the last 15 days and produce a Google Doc with prioritized content angles.

Frequently Asked Questions about content-radar

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

FAQPage Schema
How do I monitor LinkedIn authors for content ideas?▼

Configure the authors in the watchlist reference file, then run the radar. It navigates each author's recent activity page via Chrome MCP using your logged-in browser, extracts posts from the last 15 days, and filters out reposts and promotional noise.

How to generate content angles from industry signals?▼

The radar maps each filtered signal to three coordinates: which POV it supports, which content type it fits, and which buyer trigger it hooks. It then produces 5-8 prioritized angles with a proposed hook, recommended format, timing rationale, and source link.

Does the LinkedIn monitoring work without being logged in?▼

No, the author radar requires Chrome with an active LinkedIn session because it browses profiles through your own browser. If a profile fails to load, the run continues with reachable authors and WebSearch as a partial fallback, noting the gap in the report.

What happens if Google Drive is not available?▼

If the Google Drive MCP connector is unavailable, the report is saved as a Markdown file in the project's radar folder instead of a Google Doc. The skill flags the fallback so you know the Doc was not created.

How is the biweekly schedule triggered?▼

A Windows scheduled task named Content Radar runs every other Sunday at 10:00 with StartWhenAvailable, launching a PowerShell script that opens Claude Code and starts the skill. A session-based cron job exists only as a fallback when the task is not installed.

Does the radar update my knowledge base automatically?▼

No, it never modifies knowledge base files. It only proposes candidates in a dedicated report section using a CANDIDATO format, and the user decides which patterns or hypothesis evidence to promote.