tech-radar

Name: tech-radar
Availability: InStock
Author: OrangeViolin

Collect trending signals from multiple tech sources into a daily brief.

25|8|Updated Apr 7, 2026

Search Tags:#daily briefing #producthunt #content ideation #GitHub trending #tech intelligence #cross-source analysis #AI creators

Ready to run

npx skills add https://github.com/OrangeViolin/tech-radar --skill tech-radar-orangeviolin

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: tech-radar
Source: https://github.com/OrangeViolin/tech-radar/tree/main/skill
Command: npx skills add https://github.com/OrangeViolin/tech-radar --skill tech-radar-orangeviolin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

It eliminates the time-consuming work of manually checking multiple tech news sources and turning them into a structured, cross-source daily brief that you can directly use for content creation.

Core Features & Use Cases

Multi-source collection: Pulls tech signals in parallel from GitHub Trending, Product Hunt, Hacker News, 张咋啦 AI, and Follow Builders.
Independent AI analysis: Runs dedicated analysts per data source to produce separate reports.
Editor synthesis: Cross-links signals across sources and outputs a complete daily report (including “30-second highlights”, full raw tables, and topic/observation lists).
Use case: Get daily material for AI education/media posts—turn trending items into story angles, drafts, and ongoing watchlists.

Quick Start

Ask for a full daily report by saying: /tech-radar.

Frequently Asked Questions about tech-radar

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

FAQPage Schema

How do I automate daily tech intelligence briefings from GitHub Trending and Product Hunt?▼

Automating daily tech intelligence briefings involves collecting multi-source signals from platforms like GitHub Trending and Product Hunt in parallel, running independent AI analysis per source, and synthesizing cross-linked results into a structured daily report.

What is the best way to generate content ideation material from Hacker News and GitHub trending signals?▼

Generating content ideation material from Hacker News and GitHub trending signals requires a cross-source pipeline that pulls raw rankings, applies dedicated analyst prompts per data stream, and synthesizes actionable topic angles and observations for editorial planning.

Can I use cross-source analysis to turn raw tech rankings into structured newsletter sections?▼

Yes, cross-source analysis can transform raw tech rankings into structured newsletter sections by applying a synthesizer prompt that outputs 30-second highlights, full raw leaderboard tables, and curated observation lists for AI content creators.

Does the daily briefing pipeline require manual configuration for each data source like Follow Builders?▼

No, the daily briefing pipeline requires no manual configuration for each data source; it uses a runnable pipeline that automatically executes collectors, loads per-source analyst prompts, and applies a synthesizer to aggregate signals from Follow Builders and other platforms.

How do I get a full daily tech report covering AI trends and cross-source signals?▼

To get a full daily tech report covering AI trends and cross-source signals, you can trigger the pipeline via a simple command, which handles multi-source collection, independent AI analysis, and editorial synthesis automatically.

What limitations exist when synthesizing raw leaderboard data from multiple tech news sources?▼

Synthesizing raw leaderboard data from multiple tech news sources is limited by the availability of trending signals on GitHub Trending, Product Hunt, Hacker News, and other connected platforms at the time of collection, requiring daily execution for fresh material.