Extract postable LinkedIn angles from documents across five categories.
npx skills add https://github.com/OKHP3/skillz --skill okhp3-linkedin-angles
Please help me install this Agent Skill. Skill: okhp3-linkedin-angles Source: https://github.com/OKHP3/skillz/tree/main/linkedin/okhp3-linkedin-angles Command: npx skills add https://github.com/OKHP3/skillz --skill okhp3-linkedin-angles
This Skill identifies and suggests compelling angles for LinkedIn posts, helping you curate engaging content and stand out on the platform.
Use the okhp3-linkedin-angles skill to extract angles from the document 'meeting-report.md'.
High-intent search queries and answers about installing and using this skill.
Extracting postable angles from a document involves analyzing the text to identify 3-5 candidate angles across categories like summary, teardown, and behind-the-scenes, ensuring you avoid safe summaries for LinkedIn content.
You can generate five types of content angles for social media posts: summary, surprising or contrarian, teardown, behind-the-scenes, and prediction, with at least one surprising or contrarian angle guaranteed per candidate set.
Finding contrarian insights for content strategy requires angle-mining the document to surface surprising or contrarian viewpoints; the Skill ensures at least one angle per set belongs to this category to help your posts stand out.
Yes, angle extraction works by analyzing the text of a given document, such as a meeting report in markdown, to identify core insights, supporting evidence, and suggested lengths for structured LinkedIn posts.
Extracted content angles are managed using a structured angle registry that stores the candidates for easy access and triage, providing core insights, supporting evidence, and suggested lengths for your LinkedIn posts.
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