daily-digest

Generates annotated weekly Architect's Digest from curated sources and saves it to __.DailyDigest.

5|Updated Aug 8, 2016
One-click install
npx skills add https://github.com/gbencke/dotfiles --skill daily-digest-gbencke
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: daily-digest
Source: https://github.com/gbencke/dotfiles/tree/main/pi/skills/daily-digest
Command: npx skills add https://github.com/gbencke/dotfiles --skill daily-digest-gbencke

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill turns the noise of daily tech information into a structured, deeply annotated weekly briefing that an architect can actually use to make design decisions.

Core Features & Use Cases

  • Curated architectural coverage: Pulls relevant developments across architecture & distributed systems, GitHub Trending, languages/tooling, cloud & infrastructure, AI & agents, and CS research.
  • Evidence-backed summarization: Uses live sourcing (Hacker News, Lobsters, GitHub Trending, InfoQ, and engineering blogs) plus deeper web scraping when snippets are too thin to annotate.
  • Digest persistence: Writes the final weekly digest to a dated file under __.DailyDigest so the output is reusable and trackable.
  • Novelty control for book reviews: Avoids repeating book titles from the past 30 days by checking previously generated digests.

Quick Start

Ask the agent to run the daily-digest skill to produce and save a new Architect’s Digest for today at __.DailyDigest/YYYY-MM-DD-architects-digest.md.

Frequently Asked Questions about daily-digest

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

FAQPage Schema
How do I generate an architect-grade technical briefing for distributed systems and AI agents?

To generate an architect-grade technical briefing, you need to curate fresh signals from architecture, distributed systems, and AI agents sources. The briefing deduplicates content, scrapes full articles when snippets are insufficient, and applies novelty checks for book reviews.

What is the best way to track GitHub trending repositories and engineering blogs for senior engineers?

Tracking GitHub trending repositories and engineering blogs requires scraping live sources like Hacker News and Lobsters. You filter candidate pools by relevance and novelty, ensuring senior engineers receive deeply annotated, evidence-backed technical summaries rather than raw noise.

Can I automate news curation and save the output as a markdown digest file?

Yes, you can automate news curation by querying sources and saving the final output as a markdown digest file. The automated process assembles a comprehensive multi-section format and persists the trackable result to a dated directory.

Does the automated technical briefing process enforce minimum candidate pools for each section?

Yes, the automated technical briefing process enforces minimum candidate pools for each section to ensure comprehensive coverage. It scores and filters items by relevance, novelty, and depth before assembling the final architectural digest.

How do I avoid repeating book reviews in my weekly engineering news curation?

To avoid repeating book reviews in your weekly engineering news curation, you must enforce novelty controls. This involves checking previously generated digests from the past 30 days to ensure the same book titles are not featured again.

What sources are needed to produce a senior-engineer-facing CS research digest?

Producing a senior-engineer-facing CS research digest requires sourcing from Hacker News, Lobsters, GitHub Trending, InfoQ, and engineering blogs. It uses explicit query parameters to search and scrape web content for architectural and infrastructure developments.