Creator · ScrapeCreators
Last updated · Sep 5, 2026
Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outliers, explains why they worked, extracts hooks and formats, and produces a practical swipe file.
Creator · ScrapeCreators
Last updated · Sep 5, 2026
Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outliers, explains why they worked, extracts hooks and formats, and produces a practical swipe file.
Creator · ScrapeCreators
Last updated · Sep 5, 2026
Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outliers, explains why they worked, extracts hooks and formats, and produces a practical swipe file.
Creator · ScrapeCreators
Last updated · Sep 5, 2026
Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outliers, explains why they worked, extracts hooks and formats, and produces a practical swipe file.
Sandbox only
Install targets
Codex install prompt
Install the "outlier-post-finder" agent skill from https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/outlier-post-finder. 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 find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outliers, explains why they worked, extracts hooks and formats, and produces a practical swipe file. 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-outlier-post-finder","task":"Install outlier-post-finder","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 + Cursor + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add ScrapeCreators/social-media-research-skills --skill outlier-post-finder
Maintenance
fresh
9d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
2.1K
80/100 Quality · 70/100 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, 21 forks
Maintenance
9d since push
License
MIT
Install
npx skills add ScrapeCreators/social-media-research-skills --skill outlier-post-finder
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 outlier-post-finderDo not use when
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npx skills add anthropics/skills --skill canvas-design
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174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
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%20outlier-post-finder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20outlier-post-finder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/scrapecreators-outlier-post-finder/install
Agent should check
Copy prompt
Task: Use outlier-post-finder in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20outlier-post-finder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/scrapecreators-outlier-post-finder/install
Install command: npx skills add ScrapeCreators/social-media-research-skills --skill outlier-post-finder
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-outlier-post-finder/install
LLM text format
/api/skills/scrapecreators-outlier-post-finder/install?format=text
Find alternatives
/api/skills/search?q=outlier-post-finder&limit=3
Agent prompt
Use outlier-post-finder for this task. Review https://www.openagentskill.com/api/skills/scrapecreators-outlier-post-finder/install, then install with: npx skills add ScrapeCreators/social-media-research-skills --skill outlier-post-finderRegistry 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-outlier-post-finder
LLM text
/api/registry/manifest/scrapecreators-outlier-post-finder?format=text
Install alias
/api/registry/install/scrapecreators-outlier-post-finder
Recommend
/api/registry/recommend?task=Use%20outlier-post-finder%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, Cursor
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, 21 forks; issue activity unavailable in current metadata
Recent maintenance
PASS9d 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.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
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Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: outlier-post-finder description: Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outliers, explains why they worked, extracts hooks and formats, and produces a practical swipe file. 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 ---
# Outlier Post Finder
## Overview
Find social posts that beat an account's normal performance. The goal is not just to sort by views. The goal is to identify posts that performed unusually well for that creator or brand, then explain the repeatable patterns.
Use ScrapeCreators as the data layer. Pull recent public posts, normalize engagement metrics, calculate each account's baseline, and produce an outlier report with source URLs and practical takeaways.
## When to Use
Use this skill when the user asks to:
- find outlier posts, viral posts, top posts, best reels, best shorts, best TikToks, or best tweets - analyze why a creator's content is working - find competitor posts worth copying or learning from - build a swipe file from high-performing social posts - compare performance across a creator's recent posts
Do not use this for raw endpoint lookup only. Use `scrapecreators-api` for direct API routing.
## Data Sources
Prefer the platform-specific feed endpoint, then enrich individual posts only when needed.
| Platform | Feed endpoint | Detail/enrichment endpoint | |---|---|---| | TikTok | `/v3/tiktok/profile/videos` | `/v2/tiktok/video`, `/v1/tiktok/video/transcript` | | Instagram posts | `/v2/instagram/user/posts` | `/v1/instagram/post`, `/v2/instagram/media/transcript` | | Instagram reels | `/v1/instagram/user/reels` | `/v1/instagram/post`, `/v2/instagram/media/transcript` | | YouTube videos | `/v1/youtube/channel-videos` | `/v1/youtube/video`, `/v1/youtube/video/transcript` | | YouTube Shorts | `/v1/youtube/channel/shorts` | `/v1/youtube/video`, `/v1/youtube/video/transcript` | | Facebook | `/v1/facebook/profile/posts`, `/v1/facebook/profile/reels` | `/v1/facebook/post`, `/v1/facebook/post/transcript` | | LinkedIn | `/v1/linkedin/company/posts` | `/v1/linkedin/post`, `/v1/linkedin/post/transcript` | | X/Twitter | `/v1/twitter/user-tweets` | `/v1/twitter/tweet`, `/v1/twitter/tweet/transcript` | | Threads | `/v1/threads/user/posts` | `/v1/threads/post` | | Bluesky | `/v1/bluesky/user/posts` | `/v1/bluesky/post` |
Before calling an endpoint, fetch its docs or per-endpoint OpenAPI spec if parameter names or response fields are uncertain.
## Workflow
1. **Clarify scope only if needed** - Platform(s) - Handles or URLs - Time/post count window - Whether to include transcript/comment analysis
2. **Fetch recent posts** - Pull at least 20 posts when available. More is better for baseline confidence. - Paginate if the endpoint supports cursors and the user wants a larger window. - Keep source URLs for citations.
3. **Normalize metrics** - Capture whatever exists: views, plays, likes, comments, shares, reposts, saves. - Build a combined engagement score only after preserving raw metrics. - For video-first platforms, views/play count is usually the primary metric. - For text-first platforms, likes + replies/comments + reposts/shares is usually better.
4. **Calculate the account baseline** - Use median instead of mean so one viral post does not distort the baseline. - Calculate per-platform and per-account baselines separately. - If mixed formats exist, split by format when possible: reel vs carousel, short vs long video, text vs video.
5. **Score outliers** - `view_lift = post_views / median_views` - `engagement_lift = post_engagement / median_engagement` - Label posts as: - **Huge outlier:** 5x+ baseline - **Strong outlier:** 2x-5x baseline - **Mild outlier:** 1.5x-2x baseline - If sample size is under 10 posts, call confidence low.
6. **Enrich the winners** - Fetch post details for top outliers. - Fetch transcripts for video posts when useful. - Optionally fetch comments to understand audience reaction.
7. **Explain why they worked** Look for: - hook style - topic/category - format - emotional trigger - novelty/timeliness - creator proof or authority - controversy or debate - comments showing confusion, desire, or buying intent
## Output Format
```markdown # Outlier Posts Report: {creator_or_brand}
## Summary - Sample: {n} posts from {platforms} - Window: {window} - Baseline: median {primary_metric} = {value} - Confidence: High/Medium/Low
## Biggest Outliers | Rank | Post | Platform | Date | Primary Metric | Lift | Why it likely worked | |---:|---|---|---|---:|---:|---| | 1 | [title/hook](url) | TikTok | 2026-01-01 | 1.2M views | 8.4x | Contrarian hook + clear before/after |
## Repeatable Patterns 1. **Pattern name** — evidence and examples. 2. **Pattern name** — evidence and examples.
## Hooks to Steal - "Exact hook from caption or transcript" - "Exact hook from caption or transcript"
## Content Ideas Based on the Outliers 1. ... 2. ...
## Notes and Caveats - Public data only. - Small samples are directional, not definitive. ```
## Common Pitfalls
- Do not call the highest raw-view post the best outlier if a huge account is being compared with a small one. Use lift versus each account's own baseline. - Do not average TikTok, Instagram, YouTube, and LinkedIn metrics into one baseline. Score each platform separately. - Do not invent transcript quotes. Fetch transcripts or quote only visible captions/text. - Do not overstate confidence from fewer than 10 posts. - Do not ignore old viral posts if the user asked for recent performance. Respect the requested window.
Source provenance
Decision snapshot
2,054 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 outlier-post-finder, ready for a manual X post.
outlier-post-finder: Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that... 2.1K stars https://www.openagentskill.com/skills/scrapecreators-outlier-post-finder?ref=x
Listing + install path for outlier-post-finder: https://www.openagentskill.com/skills/scrapecreators-outlier-post-finder?ref=x Install: npx skills add ScrapeCreators/social-media-research-skills --skill outlier-post-f...
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-outlier-post-finder?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/scrapecreators-outlier-post-finder?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/scrapecreators-outlier-post-finder/audit)
[](https://www.openagentskill.com/skills/scrapecreators-outlier-post-finder?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)ScrapeCreators
@scrapecreators
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
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Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K StarsSandbox only
Install targets
Codex install prompt
Install the "outlier-post-finder" agent skill from https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/outlier-post-finder. 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 find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outliers, explains why they worked, extracts hooks and formats, and produces a practical swipe file. 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-outlier-post-finder","task":"Install outlier-post-finder","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 + Cursor + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add ScrapeCreators/social-media-research-skills --skill outlier-post-finder
Maintenance
fresh
9d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
2.1K
80/100 Quality · 70/100 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, 21 forks
Maintenance
9d since push
License
MIT
Install
npx skills add ScrapeCreators/social-media-research-skills --skill outlier-post-finder
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 outlier-post-finderDo not use when
Alternative
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npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
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%20outlier-post-finder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20outlier-post-finder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/scrapecreators-outlier-post-finder/install
Agent should check
Copy prompt
Task: Use outlier-post-finder in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20outlier-post-finder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/scrapecreators-outlier-post-finder/install
Install command: npx skills add ScrapeCreators/social-media-research-skills --skill outlier-post-finder
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-outlier-post-finder/install
LLM text format
/api/skills/scrapecreators-outlier-post-finder/install?format=text
Find alternatives
/api/skills/search?q=outlier-post-finder&limit=3
Agent prompt
Use outlier-post-finder for this task. Review https://www.openagentskill.com/api/skills/scrapecreators-outlier-post-finder/install, then install with: npx skills add ScrapeCreators/social-media-research-skills --skill outlier-post-finderRegistry 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-outlier-post-finder
LLM text
/api/registry/manifest/scrapecreators-outlier-post-finder?format=text
Install alias
/api/registry/install/scrapecreators-outlier-post-finder
Recommend
/api/registry/recommend?task=Use%20outlier-post-finder%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, Cursor
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, 21 forks; issue activity unavailable in current metadata
Recent maintenance
PASS9d 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.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: outlier-post-finder description: Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outliers, explains why they worked, extracts hooks and formats, and produces a practical swipe file. 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 ---
# Outlier Post Finder
## Overview
Find social posts that beat an account's normal performance. The goal is not just to sort by views. The goal is to identify posts that performed unusually well for that creator or brand, then explain the repeatable patterns.
Use ScrapeCreators as the data layer. Pull recent public posts, normalize engagement metrics, calculate each account's baseline, and produce an outlier report with source URLs and practical takeaways.
## When to Use
Use this skill when the user asks to:
- find outlier posts, viral posts, top posts, best reels, best shorts, best TikToks, or best tweets - analyze why a creator's content is working - find competitor posts worth copying or learning from - build a swipe file from high-performing social posts - compare performance across a creator's recent posts
Do not use this for raw endpoint lookup only. Use `scrapecreators-api` for direct API routing.
## Data Sources
Prefer the platform-specific feed endpoint, then enrich individual posts only when needed.
| Platform | Feed endpoint | Detail/enrichment endpoint | |---|---|---| | TikTok | `/v3/tiktok/profile/videos` | `/v2/tiktok/video`, `/v1/tiktok/video/transcript` | | Instagram posts | `/v2/instagram/user/posts` | `/v1/instagram/post`, `/v2/instagram/media/transcript` | | Instagram reels | `/v1/instagram/user/reels` | `/v1/instagram/post`, `/v2/instagram/media/transcript` | | YouTube videos | `/v1/youtube/channel-videos` | `/v1/youtube/video`, `/v1/youtube/video/transcript` | | YouTube Shorts | `/v1/youtube/channel/shorts` | `/v1/youtube/video`, `/v1/youtube/video/transcript` | | Facebook | `/v1/facebook/profile/posts`, `/v1/facebook/profile/reels` | `/v1/facebook/post`, `/v1/facebook/post/transcript` | | LinkedIn | `/v1/linkedin/company/posts` | `/v1/linkedin/post`, `/v1/linkedin/post/transcript` | | X/Twitter | `/v1/twitter/user-tweets` | `/v1/twitter/tweet`, `/v1/twitter/tweet/transcript` | | Threads | `/v1/threads/user/posts` | `/v1/threads/post` | | Bluesky | `/v1/bluesky/user/posts` | `/v1/bluesky/post` |
Before calling an endpoint, fetch its docs or per-endpoint OpenAPI spec if parameter names or response fields are uncertain.
## Workflow
1. **Clarify scope only if needed** - Platform(s) - Handles or URLs - Time/post count window - Whether to include transcript/comment analysis
2. **Fetch recent posts** - Pull at least 20 posts when available. More is better for baseline confidence. - Paginate if the endpoint supports cursors and the user wants a larger window. - Keep source URLs for citations.
3. **Normalize metrics** - Capture whatever exists: views, plays, likes, comments, shares, reposts, saves. - Build a combined engagement score only after preserving raw metrics. - For video-first platforms, views/play count is usually the primary metric. - For text-first platforms, likes + replies/comments + reposts/shares is usually better.
4. **Calculate the account baseline** - Use median instead of mean so one viral post does not distort the baseline. - Calculate per-platform and per-account baselines separately. - If mixed formats exist, split by format when possible: reel vs carousel, short vs long video, text vs video.
5. **Score outliers** - `view_lift = post_views / median_views` - `engagement_lift = post_engagement / median_engagement` - Label posts as: - **Huge outlier:** 5x+ baseline - **Strong outlier:** 2x-5x baseline - **Mild outlier:** 1.5x-2x baseline - If sample size is under 10 posts, call confidence low.
6. **Enrich the winners** - Fetch post details for top outliers. - Fetch transcripts for video posts when useful. - Optionally fetch comments to understand audience reaction.
7. **Explain why they worked** Look for: - hook style - topic/category - format - emotional trigger - novelty/timeliness - creator proof or authority - controversy or debate - comments showing confusion, desire, or buying intent
## Output Format
```markdown # Outlier Posts Report: {creator_or_brand}
## Summary - Sample: {n} posts from {platforms} - Window: {window} - Baseline: median {primary_metric} = {value} - Confidence: High/Medium/Low
## Biggest Outliers | Rank | Post | Platform | Date | Primary Metric | Lift | Why it likely worked | |---:|---|---|---|---:|---:|---| | 1 | [title/hook](url) | TikTok | 2026-01-01 | 1.2M views | 8.4x | Contrarian hook + clear before/after |
## Repeatable Patterns 1. **Pattern name** — evidence and examples. 2. **Pattern name** — evidence and examples.
## Hooks to Steal - "Exact hook from caption or transcript" - "Exact hook from caption or transcript"
## Content Ideas Based on the Outliers 1. ... 2. ...
## Notes and Caveats - Public data only. - Small samples are directional, not definitive. ```
## Common Pitfalls
- Do not call the highest raw-view post the best outlier if a huge account is being compared with a small one. Use lift versus each account's own baseline. - Do not average TikTok, Instagram, YouTube, and LinkedIn metrics into one baseline. Score each platform separately. - Do not invent transcript quotes. Fetch transcripts or quote only visible captions/text. - Do not overstate confidence from fewer than 10 posts. - Do not ignore old viral posts if the user asked for recent performance. Respect the requested window.
Source provenance
Decision snapshot
2,054 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 outlier-post-finder, ready for a manual X post.
outlier-post-finder: Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that... 2.1K stars https://www.openagentskill.com/skills/scrapecreators-outlier-post-finder?ref=x
Listing + install path for outlier-post-finder: https://www.openagentskill.com/skills/scrapecreators-outlier-post-finder?ref=x Install: npx skills add ScrapeCreators/social-media-research-skills --skill outlier-post-f...
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-outlier-post-finder?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/scrapecreators-outlier-post-finder?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/scrapecreators-outlier-post-finder/audit)
[](https://www.openagentskill.com/skills/scrapecreators-outlier-post-finder?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)ScrapeCreators
@scrapecreators
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
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174.2K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K StarsSandbox only
Install targets
Codex install prompt
Install the "outlier-post-finder" agent skill from https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/outlier-post-finder. 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 find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outliers, explains why they worked, extracts hooks and formats, and produces a practical swipe file. 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-outlier-post-finder","task":"Install outlier-post-finder","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 + Cursor + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add ScrapeCreators/social-media-research-skills --skill outlier-post-finder
Maintenance
fresh
9d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
2.1K
80/100 Quality · 70/100 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, 21 forks
Maintenance
9d since push
License
MIT
Install
npx skills add ScrapeCreators/social-media-research-skills --skill outlier-post-finder
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 outlier-post-finderDo not use when
Alternative
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Alternative
174.2K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
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%20outlier-post-finder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20outlier-post-finder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/scrapecreators-outlier-post-finder/install
Agent should check
Copy prompt
Task: Use outlier-post-finder in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20outlier-post-finder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/scrapecreators-outlier-post-finder/install
Install command: npx skills add ScrapeCreators/social-media-research-skills --skill outlier-post-finder
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-outlier-post-finder/install
LLM text format
/api/skills/scrapecreators-outlier-post-finder/install?format=text
Find alternatives
/api/skills/search?q=outlier-post-finder&limit=3
Agent prompt
Use outlier-post-finder for this task. Review https://www.openagentskill.com/api/skills/scrapecreators-outlier-post-finder/install, then install with: npx skills add ScrapeCreators/social-media-research-skills --skill outlier-post-finderRegistry 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-outlier-post-finder
LLM text
/api/registry/manifest/scrapecreators-outlier-post-finder?format=text
Install alias
/api/registry/install/scrapecreators-outlier-post-finder
Recommend
/api/registry/recommend?task=Use%20outlier-post-finder%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, Cursor
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, 21 forks; issue activity unavailable in current metadata
Recent maintenance
PASS9d 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.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: outlier-post-finder description: Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outliers, explains why they worked, extracts hooks and formats, and produces a practical swipe file. 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 ---
# Outlier Post Finder
## Overview
Find social posts that beat an account's normal performance. The goal is not just to sort by views. The goal is to identify posts that performed unusually well for that creator or brand, then explain the repeatable patterns.
Use ScrapeCreators as the data layer. Pull recent public posts, normalize engagement metrics, calculate each account's baseline, and produce an outlier report with source URLs and practical takeaways.
## When to Use
Use this skill when the user asks to:
- find outlier posts, viral posts, top posts, best reels, best shorts, best TikToks, or best tweets - analyze why a creator's content is working - find competitor posts worth copying or learning from - build a swipe file from high-performing social posts - compare performance across a creator's recent posts
Do not use this for raw endpoint lookup only. Use `scrapecreators-api` for direct API routing.
## Data Sources
Prefer the platform-specific feed endpoint, then enrich individual posts only when needed.
| Platform | Feed endpoint | Detail/enrichment endpoint | |---|---|---| | TikTok | `/v3/tiktok/profile/videos` | `/v2/tiktok/video`, `/v1/tiktok/video/transcript` | | Instagram posts | `/v2/instagram/user/posts` | `/v1/instagram/post`, `/v2/instagram/media/transcript` | | Instagram reels | `/v1/instagram/user/reels` | `/v1/instagram/post`, `/v2/instagram/media/transcript` | | YouTube videos | `/v1/youtube/channel-videos` | `/v1/youtube/video`, `/v1/youtube/video/transcript` | | YouTube Shorts | `/v1/youtube/channel/shorts` | `/v1/youtube/video`, `/v1/youtube/video/transcript` | | Facebook | `/v1/facebook/profile/posts`, `/v1/facebook/profile/reels` | `/v1/facebook/post`, `/v1/facebook/post/transcript` | | LinkedIn | `/v1/linkedin/company/posts` | `/v1/linkedin/post`, `/v1/linkedin/post/transcript` | | X/Twitter | `/v1/twitter/user-tweets` | `/v1/twitter/tweet`, `/v1/twitter/tweet/transcript` | | Threads | `/v1/threads/user/posts` | `/v1/threads/post` | | Bluesky | `/v1/bluesky/user/posts` | `/v1/bluesky/post` |
Before calling an endpoint, fetch its docs or per-endpoint OpenAPI spec if parameter names or response fields are uncertain.
## Workflow
1. **Clarify scope only if needed** - Platform(s) - Handles or URLs - Time/post count window - Whether to include transcript/comment analysis
2. **Fetch recent posts** - Pull at least 20 posts when available. More is better for baseline confidence. - Paginate if the endpoint supports cursors and the user wants a larger window. - Keep source URLs for citations.
3. **Normalize metrics** - Capture whatever exists: views, plays, likes, comments, shares, reposts, saves. - Build a combined engagement score only after preserving raw metrics. - For video-first platforms, views/play count is usually the primary metric. - For text-first platforms, likes + replies/comments + reposts/shares is usually better.
4. **Calculate the account baseline** - Use median instead of mean so one viral post does not distort the baseline. - Calculate per-platform and per-account baselines separately. - If mixed formats exist, split by format when possible: reel vs carousel, short vs long video, text vs video.
5. **Score outliers** - `view_lift = post_views / median_views` - `engagement_lift = post_engagement / median_engagement` - Label posts as: - **Huge outlier:** 5x+ baseline - **Strong outlier:** 2x-5x baseline - **Mild outlier:** 1.5x-2x baseline - If sample size is under 10 posts, call confidence low.
6. **Enrich the winners** - Fetch post details for top outliers. - Fetch transcripts for video posts when useful. - Optionally fetch comments to understand audience reaction.
7. **Explain why they worked** Look for: - hook style - topic/category - format - emotional trigger - novelty/timeliness - creator proof or authority - controversy or debate - comments showing confusion, desire, or buying intent
## Output Format
```markdown # Outlier Posts Report: {creator_or_brand}
## Summary - Sample: {n} posts from {platforms} - Window: {window} - Baseline: median {primary_metric} = {value} - Confidence: High/Medium/Low
## Biggest Outliers | Rank | Post | Platform | Date | Primary Metric | Lift | Why it likely worked | |---:|---|---|---|---:|---:|---| | 1 | [title/hook](url) | TikTok | 2026-01-01 | 1.2M views | 8.4x | Contrarian hook + clear before/after |
## Repeatable Patterns 1. **Pattern name** — evidence and examples. 2. **Pattern name** — evidence and examples.
## Hooks to Steal - "Exact hook from caption or transcript" - "Exact hook from caption or transcript"
## Content Ideas Based on the Outliers 1. ... 2. ...
## Notes and Caveats - Public data only. - Small samples are directional, not definitive. ```
## Common Pitfalls
- Do not call the highest raw-view post the best outlier if a huge account is being compared with a small one. Use lift versus each account's own baseline. - Do not average TikTok, Instagram, YouTube, and LinkedIn metrics into one baseline. Score each platform separately. - Do not invent transcript quotes. Fetch transcripts or quote only visible captions/text. - Do not overstate confidence from fewer than 10 posts. - Do not ignore old viral posts if the user asked for recent performance. Respect the requested window.
Source provenance
Decision snapshot
2,054 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 outlier-post-finder, ready for a manual X post.
outlier-post-finder: Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that... 2.1K stars https://www.openagentskill.com/skills/scrapecreators-outlier-post-finder?ref=x
Listing + install path for outlier-post-finder: https://www.openagentskill.com/skills/scrapecreators-outlier-post-finder?ref=x Install: npx skills add ScrapeCreators/social-media-research-skills --skill outlier-post-f...
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-outlier-post-finder?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/scrapecreators-outlier-post-finder?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/scrapecreators-outlier-post-finder/audit)
[](https://www.openagentskill.com/skills/scrapecreators-outlier-post-finder?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)ScrapeCreators
@scrapecreators
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.2K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.4K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.2K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K StarsSandbox only
Install targets
Codex install prompt
Install the "outlier-post-finder" agent skill from https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/outlier-post-finder. 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 find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outliers, explains why they worked, extracts hooks and formats, and produces a practical swipe file. 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-outlier-post-finder","task":"Install outlier-post-finder","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 + Cursor + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add ScrapeCreators/social-media-research-skills --skill outlier-post-finder
Maintenance
fresh
9d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
2.1K
80/100 Quality · 70/100 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, 21 forks
Maintenance
9d since push
License
MIT
Install
npx skills add ScrapeCreators/social-media-research-skills --skill outlier-post-finder
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 outlier-post-finderDo not use when
Alternative
174.2K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
174.2K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
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%20outlier-post-finder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20outlier-post-finder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/scrapecreators-outlier-post-finder/install
Agent should check
Copy prompt
Task: Use outlier-post-finder in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20outlier-post-finder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/scrapecreators-outlier-post-finder/install
Install command: npx skills add ScrapeCreators/social-media-research-skills --skill outlier-post-finder
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/api/skills/scrapecreators-outlier-post-finder/install
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Use outlier-post-finder for this task. Review https://www.openagentskill.com/api/skills/scrapecreators-outlier-post-finder/install, then install with: npx skills add ScrapeCreators/social-media-research-skills --skill outlier-post-finderRegistry metadata
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Agent fit
Research agents
Use-case tags
Platforms
Claude Code, Cursor
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Research agents
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Command ready
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Evidence
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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
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INFO2.1K stars, 21 forks; issue activity unavailable in current metadata
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PASS9d 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.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: outlier-post-finder description: Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outliers, explains why they worked, extracts hooks and formats, and produces a practical swipe file. 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 ---
# Outlier Post Finder
## Overview
Find social posts that beat an account's normal performance. The goal is not just to sort by views. The goal is to identify posts that performed unusually well for that creator or brand, then explain the repeatable patterns.
Use ScrapeCreators as the data layer. Pull recent public posts, normalize engagement metrics, calculate each account's baseline, and produce an outlier report with source URLs and practical takeaways.
## When to Use
Use this skill when the user asks to:
- find outlier posts, viral posts, top posts, best reels, best shorts, best TikToks, or best tweets - analyze why a creator's content is working - find competitor posts worth copying or learning from - build a swipe file from high-performing social posts - compare performance across a creator's recent posts
Do not use this for raw endpoint lookup only. Use `scrapecreators-api` for direct API routing.
## Data Sources
Prefer the platform-specific feed endpoint, then enrich individual posts only when needed.
| Platform | Feed endpoint | Detail/enrichment endpoint | |---|---|---| | TikTok | `/v3/tiktok/profile/videos` | `/v2/tiktok/video`, `/v1/tiktok/video/transcript` | | Instagram posts | `/v2/instagram/user/posts` | `/v1/instagram/post`, `/v2/instagram/media/transcript` | | Instagram reels | `/v1/instagram/user/reels` | `/v1/instagram/post`, `/v2/instagram/media/transcript` | | YouTube videos | `/v1/youtube/channel-videos` | `/v1/youtube/video`, `/v1/youtube/video/transcript` | | YouTube Shorts | `/v1/youtube/channel/shorts` | `/v1/youtube/video`, `/v1/youtube/video/transcript` | | Facebook | `/v1/facebook/profile/posts`, `/v1/facebook/profile/reels` | `/v1/facebook/post`, `/v1/facebook/post/transcript` | | LinkedIn | `/v1/linkedin/company/posts` | `/v1/linkedin/post`, `/v1/linkedin/post/transcript` | | X/Twitter | `/v1/twitter/user-tweets` | `/v1/twitter/tweet`, `/v1/twitter/tweet/transcript` | | Threads | `/v1/threads/user/posts` | `/v1/threads/post` | | Bluesky | `/v1/bluesky/user/posts` | `/v1/bluesky/post` |
Before calling an endpoint, fetch its docs or per-endpoint OpenAPI spec if parameter names or response fields are uncertain.
## Workflow
1. **Clarify scope only if needed** - Platform(s) - Handles or URLs - Time/post count window - Whether to include transcript/comment analysis
2. **Fetch recent posts** - Pull at least 20 posts when available. More is better for baseline confidence. - Paginate if the endpoint supports cursors and the user wants a larger window. - Keep source URLs for citations.
3. **Normalize metrics** - Capture whatever exists: views, plays, likes, comments, shares, reposts, saves. - Build a combined engagement score only after preserving raw metrics. - For video-first platforms, views/play count is usually the primary metric. - For text-first platforms, likes + replies/comments + reposts/shares is usually better.
4. **Calculate the account baseline** - Use median instead of mean so one viral post does not distort the baseline. - Calculate per-platform and per-account baselines separately. - If mixed formats exist, split by format when possible: reel vs carousel, short vs long video, text vs video.
5. **Score outliers** - `view_lift = post_views / median_views` - `engagement_lift = post_engagement / median_engagement` - Label posts as: - **Huge outlier:** 5x+ baseline - **Strong outlier:** 2x-5x baseline - **Mild outlier:** 1.5x-2x baseline - If sample size is under 10 posts, call confidence low.
6. **Enrich the winners** - Fetch post details for top outliers. - Fetch transcripts for video posts when useful. - Optionally fetch comments to understand audience reaction.
7. **Explain why they worked** Look for: - hook style - topic/category - format - emotional trigger - novelty/timeliness - creator proof or authority - controversy or debate - comments showing confusion, desire, or buying intent
## Output Format
```markdown # Outlier Posts Report: {creator_or_brand}
## Summary - Sample: {n} posts from {platforms} - Window: {window} - Baseline: median {primary_metric} = {value} - Confidence: High/Medium/Low
## Biggest Outliers | Rank | Post | Platform | Date | Primary Metric | Lift | Why it likely worked | |---:|---|---|---|---:|---:|---| | 1 | [title/hook](url) | TikTok | 2026-01-01 | 1.2M views | 8.4x | Contrarian hook + clear before/after |
## Repeatable Patterns 1. **Pattern name** — evidence and examples. 2. **Pattern name** — evidence and examples.
## Hooks to Steal - "Exact hook from caption or transcript" - "Exact hook from caption or transcript"
## Content Ideas Based on the Outliers 1. ... 2. ...
## Notes and Caveats - Public data only. - Small samples are directional, not definitive. ```
## Common Pitfalls
- Do not call the highest raw-view post the best outlier if a huge account is being compared with a small one. Use lift versus each account's own baseline. - Do not average TikTok, Instagram, YouTube, and LinkedIn metrics into one baseline. Score each platform separately. - Do not invent transcript quotes. Fetch transcripts or quote only visible captions/text. - Do not overstate confidence from fewer than 10 posts. - Do not ignore old viral posts if the user asked for recent performance. Respect the requested window.
Source provenance
Decision snapshot
2,054 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 outlier-post-finder, ready for a manual X post.
outlier-post-finder: Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that... 2.1K stars https://www.openagentskill.com/skills/scrapecreators-outlier-post-finder?ref=x
Listing + install path for outlier-post-finder: https://www.openagentskill.com/skills/scrapecreators-outlier-post-finder?ref=x Install: npx skills add ScrapeCreators/social-media-research-skills --skill outlier-post-f...
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