Agent Skills: LLM Daily Newsletter Skill

LLM Daily Newsletter Skill

Generate a professional daily AI/LLM newsletter by utilizing the fetch_sources.py script to fetch dynamically configured data, and leveraging your LLM capabilities to synthesize it into a curated briefing.

Workflow

Step 1: Collect Data

Run the universal collector script to fetch data from all sources defined in references/sources.yaml.

cd <skill_dir>/scripts
uv run --with requests --with feedparser --with pyyaml fetch_sources.py

This will parse all RSS feeds, JSON APIs, and XML APIs, generating a single markdown file at scripts/output/context.md.

Step 2: Generate Newsletter

Read the generated scripts/output/context.md file using your file reading tools. Then open references/newsletter_template.md and follow it exactly when drafting the final newsletter. Use the source context to synthesize a readable briefing, not a raw dump of links.

Write the final newsletter to scripts/output/llm_newsletter_YYYY-MM-DD.md.

Step 3: Publish (Optional)

If the user wants to publish the newsletter and BUTTONDOWN_API_KEY is present in the environment:

cd <skill_dir>/scripts
uv run --with requests publish.py output/llm_newsletter_YYYY-MM-DD.md --status draft

Without BUTTONDOWN_API_KEY, the newsletter is only generated locally.

Newsletter Structure

The canonical newsletter structure now lives in references/newsletter_template.md.

Use that file as the source of truth for:

• the markdown layout
• section order
• scan-friendly formatting rules
• which sections to omit

Section Generation Prompts

Apply these guidelines when drafting each section based on the collected context.

BUSINESS Section

Source data: VentureBeat, TechCrunch.

• Cover: funding rounds, M&A, company announcements, market trends
• Include direct links to original articles using markdown links
• Focus on developments from the past 24-48 hours
• Prefer 3-4 strong items over exhaustive coverage
• Each item should explain both what happened and why it matters

PRODUCTS Section

Source data: Product Hunt, Hacker News.

• Cover: new AI product launches, updates, applications, user feedback
• Include direct links and company attribution using markdown links
• Specify if startup or established player
• Keep each item concise and readable for a general technical audience

TECHNOLOGY Section

Source data: GitHub Recent Top AI Repos, HuggingFace Trending Models.

• Cover: open source projects, new models, developer tools, infrastructure
• Include direct links to GitHub repos and HuggingFace pages using markdown links
• Highlight distinctive features and technical details
• Focus on the few items that are actually novel or important

RESEARCH Section

Source data: ArXiv LLM Papers.

• Do not include a "Paper of the Day" subsection
• Present research as a single "Research" list with the strongest 4-6 papers
• For each paper: include title, primary author (or first author) when available, arXiv link, 1-2 sentence summary, and why it matters when that is clear
• Always include arXiv URLs in format https://arxiv.org/abs/XXXX.XXXXX

HIGHLIGHTS Section

Generate after all other sections. Extract 3-5 most important developments as bullet points. Each bullet: concise (1-2 sentences), specific, and formatted as a normal markdown bullet using -.

Markdown Style Rules

• Use standard markdown bullets (-) and ordered lists (1.), not decorative bullets such as •
• Use descriptive markdown links instead of raw URLs or separate Link: lines
• Prefer title case section headings for readability
• Keep sections skimmable: short paragraphs, short bullets, generous spacing
• Do not include the old stats line below the date
• Do not include a "Looking Ahead" section
• If a section is thin, keep it short instead of padding it with weak items

Configuration

Data sources are configured in references/sources.yaml. To add a new source:

1. Identify if it is an rss, json_api, or xml_api.
2. Add a new entry to sources.yaml with the appropriate parser_config.