trend-discovery
Use when the user wants to discover trending social topics, hashtags, sounds, posts, reels, shorts, creators, or formats in a niche.
Skill by ScrapeCreators
Chalk Labs
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Install
Works with Claude Code. Read the repository before you give any tool access to your data.
npx agentmarket install skill/scrapecreators-trend-discovery
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: writing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/trend-discovery
Tools it pre-approves 4
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
Bash,Read,Write,WebFetch
What's inside
- Skill 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.
- License
- MIT
- Allowed tools
- Bash,, Read,, Write,, WebFetch
- Instructions
- 68 lines in SKILL.md · view on GitHub
Before installing
- Pre-approves some shell commands
Files (1)
- SKILL.md
SKILL.md (first lines)
# 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.
- Trend evidence is directional unless repeated across sources.
```
## Common Pitfalls
- Do not call something a trend from one post unless the user only asked for examples.
- Do not ignore region. TikTok trends can be highly country-specific.
- Do not recommend jumping on trends that do not fit the user's brand or audience.From ScrapeCreators/social-media-research-skills, MIT.
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Signals
- Stars
- 4,674
- Forks
- 92
- Open issues
- 4
- Last commit (this folder)
- Jun 6, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Website
- scrapecreators.com
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
trend-discovery skill. Agent Mart. https://agentmart.dev/skills/scrapecreators-trend-discovery (last updated 2026-10-24)