Viral News Stinger logo

Viral News Stinger

Organization
legioncodeinc
viral-news-stinger

Mine the last 24 hours of trending news via Exa/Firecrawl MCP, fact-check ONE topic, and output viral-ready post options in the user's voice with receipts. Use for scheduled news-post Routine runs.

Overview

Publisherlegioncodeinc
Repositoryvibe-coding-tools
Skill nameviral-news-stinger
Stars
94
Forks
44
Bundled files
5
LicenseAGPL-3.0-or-later
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.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Viral News Stinger 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/legioncodeinc/vibe-coding-tools/tree/main/plugins/content-intelligence/skills/viral-news-stinger
  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/legioncodeinc/vibe-coding-tools.git /tmp/vibe-coding-tools
mkdir -p .claude/skills
cp -r /tmp/vibe-coding-tools/plugins/content-intelligence/skills/viral-news-stinger .claude/skills/viral-news-stinger
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Viral News Stinger 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 Viral News Stinger 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 Viral News Stinger 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.

Viral News Stinger

Purpose

Runs on a cadence (Claude Routines) or on demand. Sweeps the last 24 hours of trending news and X conversation, picks the single most post-worthy topic, fact-checks that one topic hard, then produces three copy-paste-ready post options in the user's voice (or a neutral voice when none is configured) with citations underneath. Sharp, salacious, engineered to travel, and accurate enough to survive its own receipts being opened. If nothing clears the bar, it produces nothing.

When to use

  • A scheduled Routine run whose prompt invokes this skill by name
  • "Find me something to post today", "what's hot right now", "run the news stinger"
  • Any request for a viral-ready post about current news in the user's voice

When not to use

  • GitHub repository content: that is repo-radar-stinger's beat
  • Rewriting or replying to existing content in the user's voice with no news mining: use the user's voice skill directly
  • Evergreen content with no time hook

Hard gates (all of them, every run)

  1. Preferences, then ledger. Read references/editorial-preferences.md (voice skill, beats, editorial policy) first, then the shared topic ledger, before any search. A topic already covered, by slug, link, or substance, is dead on arrival. See references/ledger-protocol.md.
  2. 24 hours. The development itself must have happened inside the last 24 hours. A new article about an old event does not reset the clock. Verify published timestamps; never assume a search filter did it.
  3. One topic. Pick ONE candidate from the sweep, then fact-check only that one. Never deep-research multiple candidates in parallel; that burns tokens for nothing. If the chosen topic fails verification, the run ends with a no-post report. It does not fall back to researching a second topic.
  4. Receipts or nothing. The fact-check standard in references/source-tiers.md must pass. Every claim in every post option traces to a citation printed below the post. Never fabricate quotes, numbers, or events. Provocative framing of true facts is the product; fabrication is never.
  5. No forced output. If the sweep finds nothing worth posting, say exactly that in three sentences and stop. No filler research, no mediocre post.
  6. Editorial policy. Apply the user's beats and editorial policy from references/editorial-preferences.md. The default policy is politically neutral: no partisan advocacy, claims fact-checked, contested issues presented fairly. Accuracy rules in references/source-tiers.md apply regardless of preferences.

Procedure

  1. Read references/editorial-preferences.md and hold the voice skill name, beats, and editorial policy. Load the memory tools if they are deferred (in Cowork, ToolSearch for memory_list, memory_read, memory_write, memory_str_replace). Read the ledger per references/ledger-protocol.md and hold the exclusion list.
  2. Confirm the Exa and/or Firecrawl MCP tools are available (in Cowork they may need loading via ToolSearch: web_search_exa, web_fetch_exa, firecrawl_search). These are the required mining tools. If neither server is connected, report that and stop; only fall back to a built-in web search tool if one exists, and say so in the output.
  3. Sweep, capped at three or four search calls total:
    • Firecrawl firecrawl_search with sources: [{"type":"news"}] and tbs: "qdr:d" across the configured beats (defaults in references/editorial-preferences.md).
    • Optionally fetch one public X trend mirror for the live What's-happening list (see references/research/distilled-viral-news.md for URLs). Trends are candidates only, never receipts.
    • Optionally one Exa web_search_exa pass; if web_search_advanced_exa is available, use startPublishedDate set to 24 hours ago with category: news.
  4. Filter candidates through the gates: fresh, not in the ledger, inside the editorial policy, and hookable (a sharp first line writes itself). Rank by viral potential: controversy, specificity, and how early the wave is.
  5. Choose ONE topic. State the choice and the one-sentence core claim.
  6. Fact-check that claim per references/source-tiers.md: Tier A or two independent Tier B confirmations, timestamp verification, denial/correction check, exact numbers. Capture every receipt (source, headline, published time, URL).
  7. Apply the voice. If a voice skill is configured and available, load it and follow its full workflow: pick one register, read its guide for each length, calibrate against its corpus, and run its anti-AI gate on every option; its hard rules override the length and punctuation rules here, never the accuracy, fact-check or vetting gates. If none is configured (or it is unavailable), write in a neutral, clear voice, do not invent a persona, and say so in the output header.
  8. Write the deliverable exactly per references/output-template.md: micro (9 words or less), medium (10-60 words), long form (200+ words), the single most relevant link, 2-4 hashtags actually trending on the topic, and the numbered receipts.
  9. Deliver the output as the run's final message. In an unattended Routine run, also send it through the user-facing message tool if one is available, so it reaches the user verbatim.
  10. Append one ledger line for the covered topic per references/ledger-protocol.md. A no-post run appends nothing.

References map

  • references/ledger-protocol.md: load at step 1 and step 10; the memory file location, format, and read/write rules
  • references/editorial-preferences.md: load at step 1; the user-editable voice skill name, beats, editorial policy, length bands and ledger path
  • references/source-tiers.md: load at steps 4-6; source quality tiers and the fact-check standard
  • references/output-template.md: load at step 8; the exact deliverable shape and the no-post shape
  • references/research/distilled-viral-news.md: load when a tool capability or trend-mirror URL needs checking; cited distillation of this skill's research archive
  • references/research/raw/: source-repository archive for tracing a distilled claim; omitted from the installed plugin

Related skills

  • The user's voice skill (separate account skill, named in references/editorial-preferences.md): the voice. When none is configured, drafts are neutral and labeled as such.
  • repo-radar-stinger (sibling skill in this pack): the GitHub counterpart. Runs independently on its own cadence and shares the ledger so the two never double-cover a story.

Critical Directive

  • You must read all files and context contained within your skill.
  • In the event your core knowledge does not provide sufficient guidance you must make every attempt to search the internet, related knowledge base documentation files, and other available resources to supplement your knowledge prior to proceeding with your task.
  • Additional related skills: the user's voice skill is a separate account skill; repo-radar-stinger is bundled in this pack.

Ship Gate removed: research-only skill, produces social post drafts and a memory ledger line, never committable code.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Viral News Stinger AI skill do?

Mine the last 24 hours of trending news via Exa/Firecrawl MCP, fact-check ONE topic, and output viral-ready post options in the user's voice with receipts. Use for scheduled news-post Routine runs.

Why use Viral News Stinger on TypingMind?

Because you install it once and use it with any model. Viral News Stinger 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 Viral News Stinger in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/legioncodeinc/vibe-coding-tools/tree/main/plugins/content-intelligence/skills/viral-news-stinger. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Viral News Stinger?

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 Viral News Stinger?

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

Is the Viral News Stinger AI skill free?

Yes. It is published on GitHub by legioncodeinc under the AGPL-3.0-or-later 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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