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meta-scheduled-morning-digest

Compose a morning digest combining weather, news search, summarization, and memory storage.

6.8k|540|Updated May 6, 2026
Search Tags:#meta-skill#weather#Summarization#workflow composition#Memory#news aggregation#morning digest
One-click install
npx skills add https://github.com/opensquilla/opensquilla --skill meta-scheduled-morning-digest
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: meta-scheduled-morning-digest
Source: https://github.com/opensquilla/opensquilla/tree/main/src/opensquilla/skills/exp/meta-scheduled-morning-digest
Command: npx skills add https://github.com/opensquilla/opensquilla --skill meta-scheduled-morning-digest

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually checking weather, scanning news on a topic of interest, and keeping a record of daily briefings is repetitive and fragmented across multiple tools. This meta-skill orchestrates those steps into one composed workflow that produces a structured digest and persists it to long-term memory.

Core Features & Use Cases

  • Multi-Skill Composition: Chains the weather, multi-search-engine, and summarize skills with dependency ordering so each step consumes the outputs of the previous ones.
  • Structured Digest Output: Produces a bulleted summary capped at 500 words combining weather conditions and the latest news for the user's interest topic.
  • Persistent Memory Note: Appends the finished digest to memory/morning-digest.md via the memory_save tool for later recall.
  • Use Case: A user asks for their morning digest on electric vehicles; the skill fetches local weather, searches Brave and DuckDuckGo for the latest EV news, summarizes both into a bulleted brief, and archives it in memory.

Quick Start

Ask the agent to generate your morning digest for a topic of interest, and it will fetch weather and news, summarize them, and save the result to memory.

Frequently Asked Questions about meta-scheduled-morning-digest

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

FAQPage Schema
How do I generate an automated morning news digest with an AI agent?▼

Invoke the skill with a topic of interest; it fetches local weather, searches Brave and DuckDuckGo for the latest news on that topic, summarizes both into a bulleted digest of up to 500 words, and appends the result to memory/morning-digest.md.

How does the meta-skill composition workflow execute its steps?▼

Steps run in dependency order: weather and news search execute first, the summarize step waits for both outputs, and the memory_save tool call runs last. Inputs are passed between steps using templated references to prior step outputs.

Does the morning digest skill support recurring scheduled runs?▼

No, recurring scheduling is intentionally out of scope. The skill runs once per invocation, and recurring execution is delegated to the host environment, such as a cron skill or an external scheduler.

Which search engines does the news gathering step use?▼

The news step uses the multi-search-engine skill configured with Brave and DuckDuckGo, returning up to five results for the query built from the user's message plus a latest news suffix.

What happens if the composed workflow fails to execute?▼

A documented fallback instructs the LLM to call the weather skill, then multi-search-engine, summarize the combined results manually, and finally invoke memory_save to store the digest.

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