Creator · ScrapeCreators
Last updated · Sep 7, 2026
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.
Sandbox only
Install targets
Codex install prompt
Install the "competitor-social-research" agent skill from https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/competitor-social-research. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"scrapecreators-competitor-social-research","task":"Install competitor-social-research","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add ScrapeCreators/social-media-research-skills --skill competitor-social-research
Maintenance
fresh
12d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
2.1K
80/100 Quality · 77/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
2.1K GitHub stars
Repo activity
2.1K stars, 22 forks
Maintenance
12d since push
License
MIT
Install
npx skills add ScrapeCreators/social-media-research-skills --skill competitor-social-research
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add ScrapeCreators/social-media-research-skills --skill competitor-social-researchDo not use when
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Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20competitor-social-research%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20competitor-social-research%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/scrapecreators-competitor-social-research/install
Agent should check
Copy prompt
Task: Use competitor-social-research in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20competitor-social-research%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/scrapecreators-competitor-social-research/install
Install command: npx skills add ScrapeCreators/social-media-research-skills --skill competitor-social-research
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/scrapecreators-competitor-social-research/install
LLM text format
/api/skills/scrapecreators-competitor-social-research/install?format=text
Find alternatives
/api/skills/search?q=competitor-social-research&limit=3
Agent prompt
Use competitor-social-research for this task. Review https://www.openagentskill.com/api/skills/scrapecreators-competitor-social-research/install, then install with: npx skills add ScrapeCreators/social-media-research-skills --skill competitor-social-researchRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/scrapecreators-competitor-social-research
LLM text
/api/registry/manifest/scrapecreators-competitor-social-research?format=text
Install alias
/api/registry/install/scrapecreators-competitor-social-research
Recommend
/api/registry/recommend?task=Use%20competitor-social-research%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS2.1K GitHub stars
Stars/forks activity
INFO2.1K stars, 22 forks; issue activity unavailable in current metadata
Recent maintenance
PASS12d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Publish consistently
I need my agent to turn research and product updates into useful content drafts.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
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--- 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. 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 metadata: openclaw: requires: env: - SCRAPECREATORS_API_KEY primaryEnv: SCRAPECREATORS_API_KEY homepage: https://scrapecreators.com tags: - social-media - research - scrapecreators ---
# 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".
Source provenance
Decision snapshot
2,117 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for competitor-social-research, ready for a manual X post.
competitor-social-research: Use when the user wants to research competitors' social media strategy, compare brands or cre... 2.1K stars https://www.openagentskill.com/skills/scrapecreators-competitor-social-research?ref=x
Listing + install path for competitor-social-research: https://www.openagentskill.com/skills/scrapecreators-competitor-social-research?ref=x Install: npx skills add ScrapeCreators/social-media-research-skills --skill competitor-soc...
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to ScrapeCreators but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/scrapecreators-competitor-social-research?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/scrapecreators-competitor-social-research?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/scrapecreators-competitor-social-research/audit)
[](https://www.openagentskill.com/skills/scrapecreators-competitor-social-research?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)ScrapeCreators
@scrapecreators
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Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K Starsgrill-me
A relentless interview to sharpen a plan or design.
256.3K StarsPermission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness