Competitor Social Research

OrganizationPopular

ScrapeCreators

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 gaps, or produce a practical social strategy brief from public social data.

Overview

Publisher	ScrapeCreators
Repository	`social-media-research-skills`
Skill name	`competitor-social-research`
Stars	2.5K
Forks	27
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by ScrapeCreators on GitHub. Read the source before you install it.

Installation

Install the Competitor Social Research AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/competitor-social-research

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

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/competitor-social-research .claude/skills/competitor-social-research

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competitor Social Research in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Competitor Social Research on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Competitor Social Research is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Define competitors and platforms
- Use provided handles/URLs.
- If only company names are provided, search profiles first and confirm likely matches when ambiguity matters.
Fetch profile snapshots
- Followers/subscribers
- Bio/positioning
- Links
- Verification/public metadata
Fetch recent content
- Pull comparable recent windows per competitor.
- Track source URLs, dates, captions, formats, and metrics.
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.
Analyze content strategy
- Content pillars
- Formats
- Hook styles
- Posting cadence
- Offers/CTAs
- Use of founder/creator personality
- Community/comment patterns
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".

Frequently asked questions

What does the Competitor Social Research AI skill do?

Why use Competitor Social Research on TypingMind?

Because you install it once and use it with any model. Competitor Social Research is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Competitor Social Research in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/competitor-social-research. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Competitor Social Research?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Competitor Social Research?

As many as you like. As long as a model supports skills, you can use Competitor Social Research with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Competitor Social Research AI skill free?

Yes. It is published on GitHub by ScrapeCreators under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Competitor Social Research

Overview

When to Use

Workflow

Useful ScrapeCreators Endpoints

Output Format

Common Pitfalls

Frequently asked questions

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