hot_topics_selector

Rank finance topics by investment relevance and generate topic plans with product recommendations.

5|1|Updated Feb 13, 2026

Search Tags:#automation #investment #finance #prompt-engineering #content-strategy #topic-generation

Ready to run

npx skills add https://github.com/cyhzzz/finance_aigc_skills --skill hot-topics-selector

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: hot_topics_selector
Source: https://github.com/cyhzzz/finance_aigc_skills/tree/main/hot-topics-selector
Command: npx skills add https://github.com/cyhzzz/finance_aigc_skills --skill hot-topics-selector

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, pytz, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Finance content creators struggle to find topics that naturally tie to investment products and trigger audience engagement. This Skill automates data-driven topic discovery and ranking for investment-relevant content.

Core Features & Use Cases

Phase 0: Data fetch from multiple platforms to harvest 133 headlines (professional and mainstream sources).
Phase 1: Agent-based scoring to select 5 topics with strongest investment relevance.
Phase 2: Content fetch to gather detailed article content for context.
Phase 3: Agent-based topic plan generation, including tailored investment product recommendations and outreach strategies.
Use cases: generating investment-oriented content calendars, guiding topics for stock/ fund marketing, and powering automation workflows for asset-gathering content.

Quick Start

Run the hotspot fetch and topic selection workflow to generate five investment-related topics.

Frequently Asked Questions about hot_topics_selector

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

FAQPage Schema

How do I automate finance topic generation for investment content creation?▼

Automate finance topic generation by fetching headlines from multiple platforms, scoring them for investment relevance, and using agent-based prompts to generate structured topic plans with product recommendations.

What's the best way to find trending finance topics linked to investment products?▼

Find trending investment topics by harvesting headlines from professional and mainstream sources, then applying agent-based scoring to rank and select the topics with the strongest ties to investable products.

How does investment-relevance scoring work for finance content discovery?▼

Investment-relevance scoring uses agent-based evaluation to filter harvested headlines, ranking topics based on their natural linkage to specific investment products and audience engagement potential.

Can I generate a full content calendar with tailored investment product recommendations?▼

Generate a content calendar by retrieving detailed article context for selected topics, then using agent prompts to produce structured topic plans that include tailored investment product recommendations and outreach strategies.

Do I need Python dependencies to run automated topic selection workflows?▼

Automated topic selection workflows require the Python requests and pytz libraries to support the hybrid Python data layer used for fetching hot topics and processing article content.

What limitations exist when harvesting headlines for finance content strategies?▼

Headline harvesting focuses on collecting 133 headlines from professional and mainstream sources, limiting scope to platforms accessible via the requests library and requiring subsequent agent-based filtering for investment relevance.