# trend-discovery

Finds trending topics, hashtags, and sounds across TikTok, Instagram, YouTube, Reddit, and Pinterest. Turns public signals into practical content angles.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 1300 installs · ★ 4806
- Author: ScrapeCreators
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/ScrapeCreators/social-media-research-skills/tree/HEAD/skills/trend-discovery/SKILL.md
- Updated: 2026-08-26
- HTML: https://affpapa.org/en/nevibecode/skills/trend-discovery

## What it does

The skill queries discovery endpoints across TikTok, Instagram, YouTube, Reddit, and Pinterest. Instead of relying on raw view counts, it pulls evidence from two to four sources. It normalizes post links, creator metrics, dates, audio tracks, and hashtags.

Its workflow clusters signals by topic, format, hook, or sound. TikTok trends vary by country. The skill normalizes metrics and ranks trends by evidence strength rather than raw views. For execution, you need the `SCRAPECREATORS_API_KEY` environment variable configured. Without this key, calls to discovery endpoints like `/v1/tiktok/get-trending-feed` or `/v1/youtube/shorts/trending` fail immediately.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add ScrapeCreators/social-media-research-skills --skill trend-discovery -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/trend-discovery/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/trend-discovery/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add ScrapeCreators/social-media-research-skills --skill trend-discovery -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/trend-discovery/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add ScrapeCreators/social-media-research-skills --skill trend-discovery -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/trend-discovery/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install ScrapeCreators/social-media-research-skills trend-discovery
```

2. **Manually: put the files in place**
- File: `.github/skills/trend-discovery/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add ScrapeCreators/social-media-research-skills --skill trend-discovery -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/ScrapeCreators/social-media-research-skills --path skills/trend-discovery
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/trend-discovery/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add ScrapeCreators/social-media-research-skills --skill trend-discovery -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/ScrapeCreators/social-media-research-skills/tree/HEAD/skills/trend-discovery/SKILL.md

## When to use it
- build a weekly trend brief for a specific niche
- find trending TikTok sounds, hashtags, and creators
- discover rising topics for Instagram Reels and YouTube Shorts
- cluster trending posts by hook, sound, and format

## Example prompts
- Find trending TikTok sounds and formats for the fitness niche in the US
- Build a weekly trend brief across YouTube Shorts and Instagram Reels for tech creators
- Search popular discussions on Reddit and Pinterest about home decor

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 99972795964f6f5e.

BEGIN THIRD-PARTY FILE 99972795964f6f5e
````text
---
name: trend-discovery
description: Use when the user wants to discover trending social topics, hashtags, sounds, posts, reels, shorts, creators, or formats in a niche. Searches public trend and discovery endpoints, ranks evidence, and turns trends into practical content angles.
allowed-tools: Bash, Read, Write, WebFetch

version: 1.0.0
author: ScrapeCreators
license: MIT
homepage: https://scrapecreators.com
repository: https://github.com/ScrapeCreators/social-media-research-skills
metadata:
  openclaw:
    requires:
      env:
        - SCRAPECREATORS_API_KEY
    primaryEnv: SCRAPECREATORS_API_KEY
    homepage: https://scrapecreators.com
    tags:
      - social-media
      - research
      - scrapecreators
---

# Trend Discovery

## Overview

Find trends worth acting on. This skill is for social media trend research across TikTok, Instagram, YouTube, Reddit, Pinterest, and other public sources. The output should separate real evidence from vague "this is trending" claims.

## When to Use

Use this skill when the user asks to:

- find trends in a niche or category
- discover trending TikTok sounds, hashtags, creators, or videos
- find trending Instagram Reels or YouTube Shorts ideas
- build a weekly trend brief
- decide what content formats or angles to jump on

## Useful Sources

| Signal | Endpoint examples |
|---|---|
| TikTok trending feed | `/v1/tiktok/get-trending-feed` |
| TikTok popular hashtags/songs/videos/creators | `/v1/tiktok/hashtags/popular`, `/v1/tiktok/songs/popular`, `/v1/tiktok/videos/popular`, `/v1/tiktok/creators/popular` |
| TikTok search | `/v1/tiktok/search/top`, `/v1/tiktok/search/keyword`, `/v1/tiktok/search/hashtag` |
| Instagram trends/search | `/v1/instagram/reels/trending`, `/v2/instagram/reels/search`, `/v1/instagram/search/hashtag` |
| YouTube | `/v1/youtube/shorts/trending`, `/v1/youtube/search`, `/v1/youtube/search/hashtag` |
| Reddit | `/v1/reddit/search`, `/v1/reddit/subreddit`, `/v1/reddit/subreddit/search` |
| Pinterest | `/v1/pinterest/search` |

## Workflow

1. Define niche, country/region, platform, and time sensitivity.
2. Pull trend/discovery/search results from 2-4 relevant sources.
3. Normalize evidence: post URL, creator, metric, date, topic, sound/hashtag if present.
4. Cluster into trends by topic, format, hook, sound, meme, or audience problem.
5. Rank trends by evidence strength and relevance, not raw views alone.
6. Translate each trend into content ideas the user can actually make.

## Output Format

```markdown
# Trend Discovery Brief: {niche}

## Trends Worth Acting On
| Trend | Platforms | Evidence | Why it matters | Content angle |
|---|---|---|---|---|

## Sounds / Hashtags / Formats
- ...

## Example Posts to Study
- [title/hook](url) — why it matters

## Content Ideas
1. ...
2. ...

## Caveats
- Public data only.
````
END THIRD-PARTY FILE 99972795964f6f5e

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