Viral Reverse Engineering

social-media-skills/skills/skills/viral-reverse-engineering

by social-media-skills6e30eeb2f6736bda8683b6bbaa674af3641d7945MITListed Oct 9, 2026Updated Oct 9, 2026

Use to reverse-engineer why a piece of content went viral (or overperformed) — yours or someone else's — and extract the repeatable mechanism to apply to your own content. Run when the user says "why did this go viral," "break down this viral post/video," "reverse engineer," "what made this work," or wants to learn from viral content. Sources the observable signal first (intake, transcript, screenshots, top comments, visible stats — an agent usually can't watch a video from a link) and never fabricates what it can't see. Reads brand-profile and audience first, deconstructs the piece layer by layer, isolates the real driver, runs a replicability check, extracts the transferable principle, and applies it to the user's niche via the content skills. Mechanism, never a copy; flags non-replicable virality; visible signals only (no WoopSocial analytics). Single-POST teardown only: for the account-level competitive landscape use competitor-analysis; for riding a live trend use trend-jacking.

Only the file list is public. File contents are available once the skill is installed in a workspace.

PathSizeType
evals/evals.json5 KBapplication/json
references/deconstruction-framework.md3.2 KBtext/markdown
references/examples.md3.5 KBtext/markdown
references/replicability-and-application.md3.7 KBtext/markdown
references/sourcing-the-content.md4 KBtext/markdown
references/why-things-spread.md2.9 KBtext/markdown
SKILL.md7.4 KBtext/markdown

Source and attribution

Source:social-media-skills/skillsinskills/viral-reverse-engineeringat commit6e30eeb

License: MIT

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