content-atomizer
content-atomizer is a Content strategy & calendars skill for AI agents, published by sanky369 in the vibe-building-skills repository on GitHub. Skillspace rates content-atomizer D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Turn one piece of long-form content (blog post, video/podcast transcript, guide, talk) into a ready-to-post multi-platform content pack: LinkedIn posts, X/Twitter thread, newsletter item, short-video scripts, carousel outlines, quote pulls, and more — each natively adapted, not copy-pasted. Use when the user says 'repurpose this post', 'turn this into social content', 'atomize this', 'get more mileage out of my content', 'make LinkedIn posts from my article', or shares long-form content wanting distribution. Produces an idea inventory plus a per-platform atomization pack with a suggested posting order.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 28
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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