菜单
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.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/ScrapeCreators/social-media-research-skills --skill outlier-post-finder命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
Use when the user wants to analyze active ads from Meta/Facebook, Google, or LinkedIn ad libraries; tear down a competitor's messaging; extract hooks, offers, CTAs, video transcripts, landing page claims, and test ideas from public ads.
Use when the user wants to evaluate a creator, influencer, or brand audience using public profile signals, TikTok audience demographics, follower/following data, comments, geography, language, and content fit. Helps judge sponsorship and market fit.
Use when the user wants to mine comments and replies for audience reactions, customer language, questions, objections, complaints, product ideas, buying intent, sentiment, or voice-of-customer insights from public social posts and videos.
| 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":"[Truncated]"},"primaryEnv":"SCRAPECREATORS_API_KEY","homepage":"https://scrapecreators.com","tags":["social-media","research","scrapecreators"]}} |
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.
Use this skill when the user asks to:
Do not use this for raw endpoint lookup only. Use scrapecreators-api for direct API routing.
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 |
/v1/facebook/profile/posts, /v1/facebook/profile/reels | /v1/facebook/post, /v1/facebook/post/transcript |
/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.
Clarify scope only if needed
Fetch recent posts
Normalize metrics
Calculate the account baseline
Score outliers
view_lift = post_views / median_viewsengagement_lift = post_engagement / median_engagementEnrich the winners
Explain why they worked Look for:
# 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.