Facebook Research
Pulls public content from Facebook pages, groups, and posts through PostPlus Cloud's collection service. You give it a URL or query, it fetches recent public posts and gives you source-grounded summaries and metrics. The workflow is clear: confirm scope, collect from one of three source types (profile posts, group posts, or direct post URL), wait if pending, then analyze without treating public data like private audience exports. Stops hard on auth errors or requests for follower data since it only touches the public surface. Useful when you need Facebook research that stays on the right side of the public content boundary and feeds into campaign work or cross-platform analysis.
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- 7
- skills.sh installs
- 1.1K
- GitHub stars
- 27
- last updated
- Aug 21, 2026
Install
$ npx -y skills add postplusai/postplus-skills --skill facebook-research --agent claude-codeInstalls into .claude/skills of the current project.
Files
Facebook Research
Use this skill when the user needs public Facebook evidence - page/profile posts, direct posts, public group posts, reels, comments, ad-library creative, events, marketplace listings, page profiles, or public search - for a growth, marketing, creator, community, competitor, or funnel decision.
Read only the one narrow reference matching the job.
Collection Routes
Facebook has URL-led routes for public page/profile/group/post content and specialized routes for reels, comments, ads, events, marketplace, pages, and search. Pick the route by user intent; PostPlus handles execution details.
All post collections return output.items[]; fields differ between ordinary posts, group posts and Reels. Follow the selected reference. facebook-group-posts and facebook-groups sample the same public group posts; do not run both as independent corroboration. Both group routes return a chronological post sample with no server-side keyword filter. Missing group membership, founding dates or verification are unavailable, not zero or false.
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- Repository
- github.com/postplusai/postplus-skills
- Category
- Data Science & ML
- First seen
- Jun 3, 2026
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