Trend Jacking logo

Trend Jacking

Organization
social-media-skills
trend-jacking

Use to ride a trend — a trending sound, format, meme, hashtag, news moment, or cultural conversation — to earn reach by attaching the brand to something already getting attention (a.k.a. trendjacking / newsjacking). Run when the user says "trend," "trending," "jump on this trend," "trendjack," "newsjack," "is this trend worth doing," "make this go viral," or wants to react to a current moment. Reads brand-profile, voice, and audience first, then runs three gates — FIT, SAFETY, and TIMING — before executing a fast, on-brand remix and handing to the right content skill (tiktok-script, reels-script, caption-writer) and scheduling-and-queue. Refuses to trendjack tragedies or divisive moments and won't force irrelevant trends; live trend discovery needs current scanning — this skill vets and executes. For meme-format craft, cultural fluency, and meme IP/likeness judgment ("make a meme," "is this meme safe"), route to meme-and-culture.

Overview

Publishersocial-media-skills
Repositoryskills
Skill nametrend-jacking
Stars
215
Forks
44
Bundled files
5
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.

  • 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 social-media-skills on GitHub. Read the source before you install it.

Installation

Install the Trend Jacking 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/social-media-skills/skills/tree/main/skills/trend-jacking
  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/social-media-skills/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/trend-jacking .claude/skills/trend-jacking
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Trend Jacking 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 Trend Jacking 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 Trend Jacking 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.

Trend-Jacking

Riding a trend can earn reach a brand could never buy — or get it dragged. The difference is discipline. Trend-jacking works only when a trend is a fit, safe to touch, and still rising, and most brand failures come from skipping one of those checks: forcing an irrelevant trend, touching a sensitive moment, or arriving late.

So this skill is mostly judgment. Before anything gets made, a trend runs three gates:

  1. FIT — can you add a genuine angle, or are you just slapping your logo on someone's moment?
  2. SAFETY — would a brand inserting itself here look opportunistic, tone-deaf, or exploitative?
  3. TIMING — is the trend still on the way up, or already saturated?

Any single fail = don't do it. Fit and safety are checked before timing — a fast post on an unfit or unsafe trend is just a fast mistake. (Full framework: references/the-three-gates.md.)

Honest scope: this skill vets and executes. It does not know what's trending right now — live trends change hourly and can't be recalled from training data. The user brings a specific trend (or scans the live sources in references/trend-types-and-finding.md); the skill judges and rides it.

Step 0 — Read the foundation first

Load brand-profile.md, voice.md, and audience.md — they decide FIT (does it match the brand + audience?), the voice of the remix, and the SAFETY guardrails.

Step 1 — Gate 1: FIT

Is there an authentic connection and a real angle your audience would enjoy? If the only reason is "it's popular," or you'd have to contort it to relate — skip it and offer a trend that fits or original content. Not every trend is your trend.

Step 2 — Gate 2: SAFETY

Screen for sensitivity and brand-safety. Hard no: tragedies, disasters, deaths, crises; politically/socially divisive moments ridden for attention; anything mocking, exploitative, or built on a harmful origin. When in doubt, sit it out. (A genuine, non-promotional response to a serious event is a different thing — not a trend-jack.) See references/the-three-gates.md.

Step 3 — Gate 3: TIMING

Where is the trend in its lifecycle (emerging → rising → peak → saturated → dead)? Rising = go; saturated/dead = skip (late reads as out-of-touch). Once fit and safety pass, move fast — the window is short.

Step 4 — The remix (your angle, your voice)

Take the trend's structure/sound/format and fill it with your niche's specific truth — not a logo-slap copy. Keep the brand voice (no forced slang). Add wit/value/relatability so it earns the spot. See references/the-remix.md.

Step 5 — Execute fast + schedule

Hand execution to the right content skill so it's still well-made — tiktok-script / reels-script (short video), caption-writer (text), carousel-writer (carousel) — then publish via scheduling-and-queue while the window's open. For teams, use a pre-cleared fast lane so safe trends ship in hours (see references/the-remix.md).

Quality bar — self-check

  • Did the trend clear all three gates, checked in order (fit, safety, then timing)?
  • Is there a real brand angle, not a logo-slap copy?
  • Is it in the brand voice, not forced trend-speak?
  • Was I honest about live discovery (didn't fake knowing what's trending now)?
  • Did I refuse cleanly if it failed safety, with a safer alternative where one exists?
  • Is this a portion of the mix (reactive), not the whole identity?
  • No analytics claims WoopSocial can't back?

Edge cases & refusals

  • Tragedy/disaster/death → refuse; explain the exploitation risk; genuine non-promotional help only, or stay out.
  • Divisive/political moment for reach → decline; brand-safety landmine; redirect to safe options.
  • Forced irrelevant trend → fit fails; skip or find a fitting format.
  • Dead/saturated trend → flag the window's closed; find a current one.
  • "Recreate it exactly with our logo" → push for the authentic angle, not a copy.
  • "Go viral, jump on anything" → reframe: fit + safety first; trend-jacking complements evergreen, doesn't replace it.
  • "What's trending right now?" → be honest it needs live scanning; point to the sources; offer to vet/execute what they bring.

Related skills

  • brand-profile, voice-builder, audience-research — fit, voice, guardrails.
  • meme-and-culture — meme-format craft + cultural-fluency + IP/likeness judgment; pairs with this (this skill owns the speed/timing mechanics).
  • tiktok-script, reels-script, caption-writer, carousel-writer — execute the remix.
  • content-calendar — owns the reactive slots this fills; hook-writer — the hook.
  • scheduling-and-queue — ship it fast; viral-reverse-engineering — why things spread.

References

  • references/the-three-gates.md — FIT, SAFETY, TIMING: the decision framework and the hard-no list.
  • references/trend-types-and-finding.md — trend types, how each is ridden, where to find them, the live-scope honesty.
  • references/the-remix.md — execution: the angle, voice, speed, the fast lane, don't-over-chase, honest measurement.
  • references/examples.md — worked trend-jacks and refusals (tragedy, forced, dead, divisive).

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 Trend Jacking AI skill do?

Use to ride a trend — a trending sound, format, meme, hashtag, news moment, or cultural conversation — to earn reach by attaching the brand to something already getting attention (a.k.a. trendjacking / newsjacking). Run when the user says "trend," "trending," "jump on this trend," "trendjack," "newsjack," "is this trend worth doing," "make this go viral," or wants to react to a current moment. Reads brand-profile, voice, and audience first, then runs three gates — FIT, SAFETY, and TIMING — before executing a fast, on-brand remix and handing to the right content skill (tiktok-script, reels-s...

Why use Trend Jacking on TypingMind?

Because you install it once and use it with any model. Trend Jacking 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 Trend Jacking in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/social-media-skills/skills/tree/main/skills/trend-jacking. 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 Trend Jacking?

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 Trend Jacking?

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

Is the Trend Jacking AI skill free?

Yes. It is published on GitHub by social-media-skills 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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