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Daily News Digests

Community
AtlasOmnia
daily-news-digests

daily-news-digests — Build and maintain local scheduled news/research digest scripts that collect fresh items from multiple public sources and save Markdown locally.

Overview

PublisherAtlasOmnia
Repositorydonna-starter
Skill namedaily-news-digests
Stars
131
Forks
9
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by AtlasOmnia on GitHub. Read the source before you install it.

Installation

Install the Daily News Digests AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/AtlasOmnia/donna-starter/tree/main/skills/research/daily-news-digests
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/AtlasOmnia/donna-starter.git /tmp/donna-starter
mkdir -p .claude/skills
cp -r /tmp/donna-starter/skills/research/daily-news-digests .claude/skills/daily-news-digests
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Daily News Digests in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Daily News Digests on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Daily News Digests is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Daily News Digests

Use this skill when the user asks for a recurring local news/research monitor that pulls fresh items from X/Twitter, GitHub, Reddit, Hacker News, RSS, release notes, forums, or other public sources and saves a Markdown digest locally.

The deliverable is a working collector plus verified scheduling, not a suggestion list.

Default outcome

Create:

  1. A deterministic script under ~/scripts/ or an explicitly requested project folder.
  2. A dated Markdown output directory under the relevant vault area.
  3. A latest.md copy for quick viewing.
  4. A scheduler:
  • macOS local/background: launchd LaunchAgent.
  • Hermes/gateway-delivered work: Hermes cron only when delivery or LLM reasoning is needed.
  1. A verified test run with real output, logs, and exit status.

Source selection pattern

Prefer primary or near-primary feeds before broad web search:

  1. Official GitHub repo:
  • releases
  • issues
  • pull requests
  • commits
  • GitHub search
  • Atom feeds for releases/commits
  1. Official docs/blog/release notes RSS or sitemap if available.
  2. X/Twitter via xurl when installed and authenticated.
  3. Reddit public JSON search for relevant subreddits and global mentions.
  4. Hacker News Algolia search.
  5. Other forums/community sources only if the topic warrants it.

For X/Twitter, do not read or print ~/.xurl. Check only xurl auth status; if auth is unavailable, make the script skip X cleanly and explain how the user can enable it outside the agent session.

Implementation steps

  1. Decide output path based on domain ownership.
  • Assistant/system monitoring: ~/Notes/<Topic>/
  • Personal: ~/Notes/...
  • Work/finance/safety domains: delegate or ask the owning profile if needed.
  1. Write a standalone script with:
  • Configurable window, e.g. HERMES_NEWS_DAYS.
  • Configurable output directory, e.g. HERMES_NEWS_DIR.
  • Configurable max items per source.
  • Per-source exception handling so one failing source does not kill the digest.
  • Deduplication by canonical URL.
  • Markdown grouped by source.
  • A clear note that collection is not verification.
  1. Run syntax validation:
  • Python: python3 -m py_compile <script>.
  1. Run the script manually and verify:
  • Exit code is 0.
  • Dated Markdown file exists and is non-empty.
  • latest.md exists and is non-empty.
  • Output includes real collected item counts.
  1. Schedule it.
  2. Kickstart/run the scheduled job once and verify scheduler logs.

macOS launchd pattern

Use LaunchAgents for per-user local Markdown collectors:

  • File: ~/Library/LaunchAgents/<reverse-domain-label>.plist
  • Validate: plutil -lint <plist>
  • Load/reload:
bash
UID_NUM="$(id -u)"
launchctl bootout "gui/$UID_NUM/<label>" 2>/dev/null || true
launchctl bootstrap "gui/$UID_NUM" "$HOME/Library/LaunchAgents/<label>.plist"
launchctl enable "gui/$UID_NUM/<label>"
launchctl kickstart -k "gui/$UID_NUM/<label>"
  • Verify:
bash
launchctl print "gui/$(id -u)/<label>"
tail -50 ~/Library/Logs/<name>.log
tail -50 ~/Library/Logs/<name>.err.log

Include a robust PATH in the plist EnvironmentVariables so Homebrew/user tools are found:

xml
<key>PATH</key>
<string>/opt/homebrew/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:$HOME/.local/bin</string>

Hermes cron vs launchd

Use launchd when:

  • The task is local-only.
  • It writes files locally.
  • No LLM reasoning or gateway delivery is required.
  • the user asked to “handle it” and “test it.”

Use Hermes cron when:

  • The job should summarize, classify, or decide using an LLM each run.
  • The output should be delivered to Telegram/Discord/etc.
  • The job should chain from another Hermes cron job.

CLI sessions have no live delivery channel. Do not promise that default deliver='origin' cron jobs will message the user in the terminal.

Verification checklist before final response

Report the actual evidence:

  • Script path.
  • Scheduler plist/job path.
  • Output Markdown path.
  • Last scheduler exit code or equivalent status.
  • Log paths.
  • Count of collected items if available.
  • Whether stderr is empty.

Avoid saying “it should run.” Say either “it is loaded and tested” or state the blocker.

Pitfalls

  • Do not stop at a plan; create and run the collector.
  • Do not let X/Twitter auth failure break the whole digest. Skip X with a note.
  • Do not print credentials or auth files.
  • Do not treat collected social posts as verified facts; mark the digest as collection-only.
  • When a terminal command exits non-zero because a final diagnostic command was missing or shell-specific, inspect the useful output first. If service status and logs show success, do not over-correct a working scheduler.

Frequently asked questions

What does the Daily News Digests AI skill do?

daily-news-digests — Build and maintain local scheduled news/research digest scripts that collect fresh items from multiple public sources and save Markdown locally.

Why use Daily News Digests on TypingMind?

Because you install it once and use it with any model. Daily News Digests is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Daily News Digests in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AtlasOmnia/donna-starter/tree/main/skills/research/daily-news-digests. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Daily News Digests?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Daily News Digests?

As many as you like. As long as a model supports skills, you can use Daily News Digests with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Daily News Digests AI skill free?

Yes. It is published on GitHub by AtlasOmnia under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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