Google Social Media Finder
browser-act/skills
Searches Google to discover social media profiles associated with a person, brand, or username; returns platform name, profile URL, username, bio snippet, and follower count across X, Instagram…
A skill your agent uses when the user wants to discover trending social topics, hashtags, sounds, posts, reels, shorts, creators, or formats in a niche.
Install Trend Discovery
$ npx skills add ScrapeCreators/social-media-research-skills --skill trend-discovery -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ScrapeCreators/social-media-research-skills trend-discovery --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ScrapeCreators/social-media-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/trend-discovery .claude/skills/trend-discovery && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "trend-discovery" agent skill from https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/trend-discovery into .claude/skills/trend-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trend-discovery", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/trend-discoveryType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ScrapeCreators/social-media-research-skills --skill trend-discovery -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ScrapeCreators/social-media-research-skills trend-discovery --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ScrapeCreators/social-media-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/trend-discovery .agents/skills/trend-discovery && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "trend-discovery" agent skill from https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/trend-discovery into .agents/skills/trend-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trend-discovery", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ScrapeCreators/social-media-research-skills --skill trend-discovery -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ScrapeCreators/social-media-research-skills trend-discovery --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ScrapeCreators/social-media-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/trend-discovery .cursor/skills/trend-discovery && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "trend-discovery" agent skill from https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/trend-discovery into .cursor/skills/trend-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trend-discovery", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ScrapeCreators/social-media-research-skills.git --path skills/trend-discovery--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ScrapeCreators/social-media-research-skills --skill trend-discovery -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ScrapeCreators/social-media-research-skills trend-discovery --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ScrapeCreators/social-media-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/trend-discovery .gemini/skills/trend-discovery && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "trend-discovery" agent skill from https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/trend-discovery into .gemini/skills/trend-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trend-discovery", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ScrapeCreators/social-media-research-skills trend-discoveryInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ScrapeCreators/social-media-research-skills --skill trend-discovery -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ScrapeCreators/social-media-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/trend-discovery .github/skills/trend-discovery && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "trend-discovery" agent skill from https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/trend-discovery into .github/skills/trend-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trend-discovery", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ScrapeCreators/social-media-research-skills --skill trend-discovery -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ScrapeCreators/social-media-research-skills trend-discovery --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ScrapeCreators/social-media-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/trend-discovery .opencode/skills/trend-discovery && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "trend-discovery" agent skill from https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/trend-discovery into .opencode/skills/trend-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trend-discovery", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
trend-discovery- GitHub stars
- 3.3k
- Token cost
- ~789 tokens
- SKILL.md length
- 233 words
- Files
- 1
- Skills in repo
- 13
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when the user wants to discover trending social topics, hashtags, sounds, posts, reels, shorts, creators, or formats in a niche.
- Works in 6 steps: Define niche, country/region, platform,… → Pull trend/discovery/search results from… → Normalize evidence: post URL, creator,… → …
- The user wants to discover trending social topics
- SKILL.md covers Overview, When to Use, Useful Sources and Workflow, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Trend Discovery is an agent skill from ScrapeCreators/social-media-research-skills. 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.
Its SKILL.md is about 790 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Marketing & SEO, covering Market research and Video scripts and shorts. It works with Reddit, Instagram, TikTok and YouTube. The repository describes itself as: AI agent skills for social media research. Outlier posts, comment mining, competitor teardowns, ad libraries & trends across TikTok, Instagram, YouTube, Reddit, X, LinkedIn &… The licence is MIT.
When your agent uses it
- The user wants to discover trending social topics
- Formats in a niche
Example prompts
- “/trend-discovery”
Requirements
- A credential in SCRAPECREATORS_API_KEY
- Pre-approved tools (allowed-tools): Bash, Read, Write, WebFetch
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Define niche, country/region, platform, and time sensitivity.
- Pull trend/discovery/search results from 2-4 relevant sources.
- Normalize evidence: post URL, creator, metric, date, topic, sound/hashtag if present.
- Cluster into trends by topic, format, hook, sound, meme, or audience problem.
- Rank trends by evidence strength and relevance, not raw views alone.
- Translate each trend into content ideas the user can actually make.
What it can do on your machine
Read from SKILL.md and the folder at commit 64ba7b4. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
BashReadWriteWebFetch
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Trend Discovery loads about 789 tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 233 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Bash, Read, Write, WebFetch
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from ScrapeCreators/social-media-research-skills at commit 64ba7b4, republished under its MIT licence (© ScrapeCreators). 233 words, ~789 tokens.
Download SKILL.mdSave it as
.claude/skills/trend-discovery/SKILL.md (or your agent's skills folder).- 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
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 |
/v1/reddit/search, /v1/reddit/subreddit, /v1/reddit/subreddit/search | |
/v1/pinterest/search |
Workflow
- Define niche, country/region, platform, and time sensitivity.
- Pull trend/discovery/search results from 2-4 relevant sources.
- Normalize evidence: post URL, creator, metric, date, topic, sound/hashtag if present.
- Cluster into trends by topic, format, hook, sound, meme, or audience problem.
- Rank trends by evidence strength and relevance, not raw views alone.
- Translate each trend into content ideas the user can actually make.
Output Format
# 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.
© ScrapeCreators, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/trend-discovery of ScrapeCreators/social-media-research-skills.
Open the folder on GitHubat commit 64ba7b4
Compare with similar skills
Trend Discovery next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Trend Discovery this skillScrapeCreators/social-media-research-skills | 3.3k | — | ~789 | Automated safety check: Notes | MIT | |
| Google Social Media Finderbrowser-act/skills | 6.1k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Paid Ads AuditAgriciDaniel/claude-ads | 9.8k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Influencer Discoverytigerless-labs/influencer-discovery | 211 | — | ~2.5k | Automated safety check: Notes | None | |
| Bulkpublish Social Schedulingdavepoon/buildwithclaude | 3.6k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Caption Writersocial-media-skills/skills | 125 | — | ~1.7k | Automated safety check: Pass | MIT |
Similar skills
Paid Ads Audit
AgriciDaniel/claude-ads
Runs a source-grounded paid advertising audit across up to 12 ad platforms, with parallel platform workers, deterministic scoring and a versioned JSON bundle.
Influencer Discovery
tigerless-labs/influencer-discovery
Find the bloggers/creators who can help promote your work, capture their contact info, and append them to the target sheet in Google Sheets.
Bulkpublish Social Scheduling
davepoon/buildwithclaude
Schedule, publish and analyze social posts across 15 networks via BulkPublish (MCP or REST) — Facebook, Instagram, X, TikTok, YouTube, Threads, Bluesky, Pinterest, Google Business, LinkedIn…
Caption Writer
social-media-skills/skills
A skill your agent uses to write platform-native social media captions (post copy) in the brand's voice — the words that accompany a post on Instagram, LinkedIn, TikTok, Facebook, X/Twitter…
Social SEO
social-media-skills/skills
A skill your agent uses to make social content discoverable through SEARCH across social platforms — the social-SEO / keyword-discovery skill.
More from ScrapeCreators/social-media-research-skills
All 13 skills in this repoScrapecreators API
ScrapeCreators/social-media-research-skills
Scrape and extract public data from 27+ social media platforms using the ScrapeCreators REST API.
Ad Library Teardown
ScrapeCreators/social-media-research-skills
A skill your agent uses when the user wants to analyze active ads from Meta/Facebook, Google, or LinkedIn ad libraries; tear down a competitor's messaging; extract hooks, offers, CTAs, video…
Audience Research
ScrapeCreators/social-media-research-skills
A skill your agent uses when the user wants to evaluate a creator, influencer, or brand audience using public profile signals, TikTok audience demographics, follower/following data, comments…
Comment Mining
ScrapeCreators/social-media-research-skills
A skill your agent uses when the user wants to mine comments and replies for audience reactions, customer language, questions, objections, complaints, product ideas, buying intent, sentiment, or…
Competitor Social Research
ScrapeCreators/social-media-research-skills
A skill your agent uses when the user wants to research competitors' social media strategy, compare brands or creators, find what content is working in a niche, identify content gaps, or produce a…
Content Repurposing
ScrapeCreators/social-media-research-skills
A skill your agent uses when the user wants to turn public social videos, transcripts, posts, or creator research into reusable content assets such as LinkedIn posts, X threads, short-form scripts…
Related
Categories
Questions about Trend Discovery
What does Trend Discovery do?
A skill your agent uses when the user wants to discover trending social topics, hashtags, sounds, posts, reels, shorts, creators, or formats in a niche. Trend Discovery is an agent skill from ScrapeCreators/social-media-research-skills. Use when the user wants to discover trending social topics, hashtags, sounds, posts, reels, shorts, creators, or formats in a niche.
When should I use Trend Discovery?
Trend Discovery fits situations like: the user wants to discover trending social topics; formats in a niche.
How do I install Trend Discovery in Claude Code?
Run `npx skills add ScrapeCreators/social-media-research-skills --skill trend-discovery -a claude-code`. Or copy the skill folder (skills/trend-discovery in ScrapeCreators/social-media-research-skills) into .claude/skills/trend-discovery in your project. Claude Code loads it when a task matches its description.
How do I install Trend Discovery in Codex?
Run `npx skills add ScrapeCreators/social-media-research-skills --skill trend-discovery -a codex`. Or copy the skill folder (skills/trend-discovery in ScrapeCreators/social-media-research-skills) into .agents/skills/trend-discovery in your project. Codex loads it when a task matches its description.
Can I use Trend Discovery in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ScrapeCreators/social-media-research-skills --skill trend-discovery -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/trend-discovery, .gemini/skills/trend-discovery, .github/skills/trend-discovery and .opencode/skills/trend-discovery in your project.
What does Trend Discovery need to run?
SKILL.md names no scripts, command-line tools or credentials: Trend Discovery is instructions for the agent only. Our summary lists: A credential in SCRAPECREATORS_API_KEY. Its frontmatter pre-approves these tools: Bash, Read, Write, WebFetch.
Does Trend Discovery access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Trend Discovery safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Trend Discovery use?
Trend Discovery is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Trend Discovery use?
About 789 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Trend Discovery?
Skills that share tags, products or a category with Trend Discovery: Google Social Media Finder (browser-act/skills, 6.1k stars), Paid Ads Audit (AgriciDaniel/claude-ads, 9.8k stars), Influencer Discovery (tigerless-labs/influencer-discovery, 211 stars) and Bulkpublish Social Scheduling (davepoon/buildwithclaude, 3.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Trend Discovery?
ScrapeCreators (a GitHub organization) maintains it in ScrapeCreators/social-media-research-skills, which has 3,306 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on August 26, 2026.
Source: ScrapeCreators/social-media-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.