skills.rest
Leoyishou
LeoyishouCOMMUNITY
Explore all skills by this author →
GitHub

find-topic

Aggregate and score AI/tech topics from Hacker News, GitHub, Reddit, and Twitter.

27|9|Updated Jan 25, 2026
Search Tags:#automation#workflow#aggregate#topic#briefing#data-collection#ai-scoring
One-click install
npx skills add https://github.com/Leoyishou/personal-ai-company --skill find-topic
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: find-topic
Source: https://github.com/Leoyishou/personal-ai-company/tree/main/claude-global/skills/find-topic
Command: npx skills add https://github.com/Leoyishou/personal-ai-company --skill find-topic

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests.

What problem does it solve?

Daily content teams struggle to surface fresh, high-value topics at scale. This skill automates the end-to-end briefing process: collect signals, evaluate quality with AI, prune duplicates, and surface actionable ideas.

Core Features & Use Cases

  • Automated multi-source data collection (Hacker News, GitHub Trending, Reddit, Twitter) to identify hot topics.
  • AI scoring and de-duplication to rank and trim the list for content planning.
  • Push-ready summaries and optional issue creation in Linear for quick action.

Quick Start

Ask Claude to run the briefing workflow to collect topics, score them with AI, deduplicate, and push the summary.

Frequently Asked Questions about find-topic

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

FAQPage Schema
How do I automate collecting tech topics from Hacker News, GitHub, Reddit, and Twitter?▼

Automated topic collection aggregates hot posts from Hacker News, GitHub Trending, Reddit, and Twitter into a single feed. The workflow fetches signals across these platforms, applies AI scoring via OpenRouter, and de-duplicates entries to produce a curated daily briefing.

What's the best way to surface fresh content ideas for a daily briefing?▼

Surfacing fresh content ideas requires aggregating multi-source signals and ranking them by AI scoring. This approach collects trending topics, evaluates quality, prunes duplicates, and outputs push-ready summaries to help content teams quickly plan daily material.

Can I use AI scoring to rank and de-duplicate aggregated topic lists?▼

AI scoring ranks aggregated topic lists by evaluating signal quality and relevance via OpenRouter. The workflow then de-duplicates the topics, trimming redundant entries to ensure content teams receive a concise, highly ranked list for planning.

Does this topic discovery workflow support pushing summaries to Linear?▼

The topic discovery workflow supports pushing summaries and optional issue creation directly to Linear. After collecting, scoring, and de-duplicating topics, it generates push-ready summaries for quick action and task tracking.

Do I need an OpenRouter API key to score collected topics?▼

An OpenRouter API key is required to perform AI scoring on collected topics. The workflow relies on OpenRouter to evaluate and rank aggregated data from Hacker News, GitHub, Reddit, and Twitter.

What limitations exist when collecting data from sources like Reddit and Twitter?▼

Data collection from Reddit and Twitter depends on the requests library and is subject to platform-specific rate limits and access restrictions. Users may encounter scraping limitations if target platforms change their API policies or block automated requests.

Related Skills

Explore More Content & Communication Skills→
ConradmakerConradmaker

ds-image-gen

Generate or edit images via OpenRouter-compatible providers or nano-gpt endpoints.

Community
Advanced
wuyuxiangXwuyuxiangX

yux-linear-pr

Create pull requests and sync Linear issue states via Git and GitHub APIs.

Community
Advanced
SocketDevSocketDev
125

fleet-researching-recency

Aggregate and rank community signals from developer sources over 30 days.

Official
Intermediate
Zhow01Zhow01
52

tech-news-digest

Aggregate and score tech content from RSS, Twitter/X, GitHub, Reddit, and web search into deduplicated digests.

Community
Advanced