morning-briefing_skill

This skill generates a structured daily market briefing based on YouTuber sentiment, delivering mood, top picks, concerns, and watchlist for the day.

3

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill alphamoemoe/foci --skill morning-briefing

  • SKILL.md2.9 KB

Overview

This skill generates a structured daily market briefing driven by sentiment signals from financial YouTubers. It produces a concise, mobile-friendly morning report that highlights market mood, the top bullish and bearish tickers, notable viewpoints, and items to watch. The briefing emphasizes what changed since yesterday and includes timestamps for context.

How this skill works

The skill fetches a daily summary for today and yesterday to surface shifts in sentiment and volume. It then lists the most discussed tickers and retrieves detailed sentiment for the top five in parallel. Finally, it compiles a scannable report that summarizes overall market temperature, top bullish and bearish picks, key stock snapshots, representative quotes, and today’s watchlist.

When to use it

  • You want a quick morning market overview before trading or meetings
  • You need sentiment-driven signals from finance-focused YouTube creators
  • You want to compare today's mood with yesterday’s changes
  • You need a mobile-friendly briefing to share with a team
  • You want a balanced mix of consensus and contrarian viewpoints

Best practices

  • Run the briefing early in the market day and include timestamps for relevance
  • Limit deep dives to the top 5 tickers to keep the report concise
  • Highlight what changed versus yesterday to surface momentum shifts
  • Include both consensus and contrarian viewpoints to avoid bias
  • Format sections for quick scanning (market mood, top bullish/bearish, watchlist)

Example use cases

  • A portfolio manager checks morning sentiment before rebalancing positions
  • A retail trader scans top bullish picks identified by active YouTubers
  • A research analyst captures trending concerns and representative quotes for a daily note
  • A trading desk shares a morning one-pager with desk members
  • An investor watches for sentiment changes on key macro events or earnings

FAQ

The briefing uses the latest daily summary and ticker sentiment at the time of generation and includes a timestamp so you can see how recent the data is.

How are the top tickers chosen?

Top tickers are selected by the volume of mentions and engagement among tracked financial YouTubers, then ranked for detailed sentiment pulls.

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