Agent Skill
Trend Discovery skill
trend-discoveryScrapeCreators/social-media-research-skillsskills/trend-discovery/SKILL.md
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.
always on
51 tokname + description
once used
614 tokSKILL.md body
bundled files
0
repo stars
4.5kGitHub
Install the Trend Discovery skill
Skills CLI (Claude Code, Codex, Cursor and others)
npx skills add https://github.com/ScrapeCreators/social-media-research-skills --skill trend-discovery
Claude Code, by hand (all projects)
git clone --depth 1 https://github.com/ScrapeCreators/social-media-research-skills.git /tmp/social-media-research-skills mkdir -p ~/.claude/skills cp -R /tmp/social-media-research-skills/skills/trend-discovery ~/.claude/skills/trend-discovery
For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.
What it costs your context
Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.
| When | What loads | Cost |
|---|---|---|
| Every session | Name and description | 51 tok |
| When the agent uses it | The SKILL.md instructions | 614 tok |
| Only if opened | No bundled files | — |
Until it is used, trend-discovery costs about 27× less than the median MCP server we measured (1,363 tokens on every turn). Installing all 13 skills from ScrapeCreators/social-media-research-skills would load 805 tokens of descriptions. Skills vs MCP study
Checks
Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.
Pre-approved tools (allowed-tools): Bash, Read, Write, WebFetch. The agent can use these without asking while the skill is active.
Checked 2026-10-22 · method
What's inside
The headings of its SKILL.md. Read the full file on GitHub.
- Trend Discovery
- Overview
- When to Use
- Useful Sources
- Workflow
- Output Format
- Common Pitfalls
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