Viral Instagram Reels
Instagram's Reels rules differ enough from TikTok's that a general short-form skill misses the important levers, and this one is built around them. It leans on Mosseri's publicly stated signal hierarchy, with sends per reach as the metric to design for, and it routes most cold-reach work through Trial Reels so a flop never touches your follower feed. It also checks originality (watermarks and reposted footage get cut from cold distribution), treats captions and on-screen text as the real search surface, and caps hashtags at three to five. The diagnose mode is the part I'd reach for first: paste in your Insights (skip rate, share rate, followers from the post) and it walks the likely failure points in order. It's pattern-based guidance, not a virality promise, which is the right expectation to bring to it.
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- skills.sh installs
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- GitHub stars
- 210
- last updated
- Oct 26, 2026
Install
$ npx -y skills add vyralcontent/content-skills --skill viral-instagram-reels --agent claude-codeInstalls into .claude/skills of the current project.
Files
Viral Instagram Reels
Help the user plan, write, and diagnose Instagram Reels specifically. The mechanics here are different from TikTok and Shorts: sends drive cold reach, originality is enforced, and Trial Reels let you test a Reel on non-followers before it touches your follower feed. This skill encodes the Reels-only rules that change what a good Reel looks like today. It does not predict virality. It stacks the odds and tells you what to optimize for on this surface.
For cross-platform hook craft, see viral-hooks. For ideation systems, see
viral-short-form-ideas. For deep caption work, see viral-captions-and-ctas.
Use this skill when the question is Reels-specific.
Operating principles (read these first, apply throughout)
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- Repository
- github.com/vyralcontent/content-skills
- Categories
- Testing & QA, Release Management, Debugging, Productivity & Planning, Automation & Workflows, Marketing & SEO, Video & Audio Editing
- First seen
- Oct 26, 2026
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