Skip to content
Agentmart
Submit a tool

competitor-social-research

Use when the user wants to research competitors' social media strategy, compare brands or creators, find what content is working in a niche, identify content…

Skill by ScrapeCreators

IndexedMIT★ 4,674
Write a review

Chalk Labs

Need help deploying competitor-social-research?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code. Read the repository before you give any tool access to your data.

npx agentmarket install skill/scrapecreators-competitor-social-research

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.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Use 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 practical social strategy brief from public social data.

Use cases: data, writing, marketing, research

No 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/competitor-social-research

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
competitor-social-research
Description
Use 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 practical social strategy brief from public social data.
License
MIT
Allowed tools
Bash,, Read,, Write,, WebFetch
Instructions
111 lines in SKILL.md · view on GitHub

Before installing

  • Pre-approves some shell commands

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Competitor Social Research

## Overview

Analyze what competitors are doing on social and what appears to be working. This skill combines profile data, recent posts, outlier analysis, transcripts, and optionally comments to produce a practical competitor brief.

## When to Use

Use this skill when the user asks to:

- compare competitors on TikTok, Instagram, YouTube, LinkedIn, Facebook, X, Threads, or other social platforms
- find what content is working in a niche
- benchmark posting frequency, formats, topics, and engagement
- identify content gaps or opportunities
- build a social strategy from competitor research

## Workflow

1. **Define competitors and platforms**
   - Use provided handles/URLs.
   - If only company names are provided, search profiles first and confirm likely matches when ambiguity matters.

2. **Fetch profile snapshots**
   - Followers/subscribers
   - Bio/positioning
   - Links
   - Verification/public metadata

3. **Fetch recent content**
   - Pull comparable recent windows per competitor.
   - Track source URLs, dates, captions, formats, and metrics.

4. **Find outliers per competitor**
   - Use each account's own median baseline.
   - Do not compare raw views between a huge brand and a small brand without context.

5. **Analyze content strategy**
   - Content pillars
   - Formats
   - Hook styles
   - Posting cadence
   - Offers/CTAs
   - Use of founder/creator personality
   - Community/comment patterns

6. **Find gaps and opportunities**
   Look for:
   - topics competitors avoid
   - formats that overperform but few competitors use
   - unanswered audience questions
   - weak hooks or repetitive content
   - platform whitespace

## Useful ScrapeCreators Endpoints

Use the relevant profile/feed/detail/transcript/comment endpoints from `scrapecreators-api`. Common routes include:

- TikTok: `/v1/tiktok/profile`, `/v3/tiktok/profile/videos`
- Instagram: `/v1/instagram/profile`, `/v2/instagram/user/posts`, `/v1/instagram/user/reels`
- YouTube: `/v1/youtube/channel`, `/v1/youtube/channel-videos`, `/v1/youtube/channel/shorts`
- LinkedIn: `/v1/linkedin/company`, `/v1/linkedin/company/posts`
- Facebook: `/v1/facebook/profile`, `/v1/facebook/profile/posts`, `/v1/facebook/profile/reels`
- X/Twitter: `/v1/twitter/profile`, `/v1/twitter/user-tweets`
- Threads: `/v1/threads/profile`, `/v1/threads/user/posts`
- Bluesky: `/v1/bluesky/profile`, `/v1/bluesky/user/posts`

## Output Format

```markdown
# Competitor Social Research Brief

## Executive Summary
- Biggest opportunity:
- Competitor to study closest:
- Content format to test first:

## Competitor Snapshot
| Competitor | Platforms | Audience size | Posting cadence | Best-performing format | Notes |
|---|---|---:|---|---|---|

## What Is Working
### Competitor A
- Content pillars:
- Outlier examples:
- Hooks/formats:

## Cross-Competitor Patterns
1. ...
2. ...

## Gaps and Opportunities
| Opportunity | Evidence | Suggested test |
|---|---|---|

## Recommended Content Tests
1. ...
2. ...
3. ...

## Sources
- [Post/profile/ad](url)
```

## Common Pitfalls

- Do not compare competitors only by follower count. Engagement and outlier lift matter more.
- Do not mix platforms without platform context. A good LinkedIn post and good TikTok are different artifacts.
- Do not assume a profile match from a company name if multiple brands share the name.
- Do not present competitor strategy as fact when it is inferred from public content. Say "appears to" or "suggests".

From ScrapeCreators/social-media-research-skills, MIT.

More from ScrapeCreators/social-media-research-skills

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
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from ScrapeCreators

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get competitor-social-research running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying competitor-social-research?

CallGet help
Cite this page

competitor-social-research skill. Agent Mart. https://agentmart.dev/skills/scrapecreators-competitor-social-research (last updated 2026-10-24)