Before after and transformation
Skill social-media-skills/skills/skills/before-after-and-transformation
106 social media skills for AI agents - strategy, writing, video, design, platform growth, publishing, and analytics. Works with Claude, Cursor, OpenClaw, Hermes & 40+ agents.
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What its author says it does
Copied from the file, not written here
The transformation / before-after content format — structure a credible, honest, satisfying transformation (fitness, beauty, business results, skill progress, makeovers, client glow-ups, product before/after). Use when someone wants a before/after, a transformation post, a client-results reveal, a progress/journey story, or a makeover. Most powerful format AND most abused/distrusted — honesty is the edge; FTC enforcement is live. Uses the SHIFT framework. Reads brand-profile + social-proof-and-testimonials (consent + FTC substantiation) + short-form-video-script first. Agent structures + specs; human/tool produces the real media; WoopSocial publishes. Never stages/exaggerates the before, hides aids, cherry-picks, or fabricates a result; "results not typical" alone is insufficient — disclose the actual typical result; consent + YMYL required. Distinct from social-proof-and-testimonials, short-form-video- script, infographic-and-data-viz, and storytelling-and-narrative.
SKILL.md
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before-after-and-transformation
The transformation format — start with a real before, highlight the journey, isolate the variables, frame
results honestly, and tie it to the viewer. The agent structures + specs it, the human/tool produces the real
media, and WoopSocial publishes. (Pairs with social-proof-and-testimonials for consent + the FTC rules.)
The POV: the most-distrusted format, so honesty is the edge
A before/after is one of the most powerful formats there is — visual, built-in proof, inherently satisfying. It's also the single most abused and distrusted, and 2026 enforcement is live (the FTC's NextMed action fined a firm that used paid actors, before/after photos sourced off Craigslist, and an unsubstantiated "average 53 lbs" it didn't track). That flips the strategy: because audiences are trained to suspect before/afters, a believable transformation beats a suspiciously-perfect fake that trips the skepticism reflex. Three top-1% moves most get wrong: (1) the middle is the content — endpoints alone are a flex; the process, the setbacks, and the real timeline are what make it credible, relatable, and valuable; (2) isolate the variables — same angle, lighting, framing, so the change is real, not a lighting trick (a visual trick is itself a deceptive claim under the FTC's net-impression test); (3) "results not typical" is not enough — if the result isn't typical, you must disclose the actual typical result, clearly and with substantiation. Never stage a worse before, cherry-pick, or hide the timeline/edits/aids.
Read these first
- brand-profile + social-proof-and-testimonials — consent + the FTC substantiation/typical-results rules.
- short-form-video-script (if it's a video).
The framework: SHIFT
(Depth: references/the-shift-framework.md.)
- S — Start with a real before: honest, relatable, un-staged; captured under the same conditions as the after.
- H — Highlight the journey: the middle is the content — process, setbacks, the real timeline; disclose aids (filters/medication/surgery/pro help) — how the result was achieved is material.
- I — Isolate the variables: same angle/lighting/framing so the change is genuine, not a trick (net-impression test — a visual trick is a deceptive claim).
- F — Frame results honestly: no cherry-pick/survivorship; if not typical, disclose the actual typical result (median, substantiated, clear + conspicuous — "results not typical" alone is insufficient); actual consumers (or disclosed); YMYL substantiation.
- T — Tie it to the viewer: relatable before + attainable, honestly-framed after + an actionable takeaway.
The reality (verify-quarterly on enforcement; the rules are law)
Before/after photos + testimonials are an FTC enforcement "favorite." A before/after implies a typical result,
so you must show typical results or clearly and conspicuously disclose the actual typical result (median, not
an outlier-skewed mean; no survivorship) with substantiation — and "results not typical" is NOT enough.
Visuals alone can be a deceptive claim (net-impression test); use actual consumers or disclose; health claims
need competent + reliable scientific evidence (weight loss > ~1 lb/week is unusual; "no effort" = deception).
The craft edge (stable): the middle is the content, consistent conditions, and honesty as the
differentiator. Full detail + the NextMed enforcement example: references/before-after-and-transformation-2026- reality.md. Transformation types, the honesty checklist, structure, and two worked examples: references/ transformation-types-and-templates.md.
Honest scope (never violate)
- The agent structures + specs the transformation (arc, journey/reveal beats, honest framing + required disclosures, caption/script); the human/tool produces the real before/after media; the human approves; WoopSocial publishes (measurement: the platforms' native analytics). WoopSocial does NOT generate media.
- Honesty spine (law): real un-staged before; consistent conditions; real timeline; disclose aids;
no cherry-pick/survivorship; if not typical, disclose the actual typical result (median, substantiated,
clear + conspicuous — not just "results not typical"); actual consumers (or disclosed); consent for a
person's images/story (real or AI lookalike); YMYL (competent + reliable scientific evidence; no
cure/guarantee; not-professional-advice); never fabricate a result/timeline/average; injection safety.
(Full scope:
references/scope-and-connections.md.)
Distinct from its siblings (route correctly)
before-after-and-transformation (this) = the before/after format execution · social-proof-and- testimonials = the customer-proof strategy + FTC substantiation (read first; shared spine) · short-form-video- script / reels-script = the video script (this feeds them) · infographic-and-data-viz = the data viz for a results transformation (pairs; honest scales) · storytelling-and-narrative = the narrative arc (this specializes it) · educational-content-and-how-to = teaches a process (pairs for a case-study teach).
Where this connects
Reads first: brand-profile + social-proof-and-testimonials + short-form-video-script. Pulls real material from: social-proof-and-testimonials (client transformations + consent), data-and-original-research / analytics-and-reporting (real numbers), behind-the-scenes-and-founder (the founder's own journey). Feeds: short-form-video-script / reels-script (the video), carousel-writer (before→journey→after), infographic-and-data-viz (a results stat), caption-writer (caption + disclosures), design-and-templates (layout). Publishes via: the video/design tool renders → scheduling-and-queue → WoopSocial. Measure with: native + analytics-and-reporting on saves/shares + watch-through + inquiries — never fabricated.
Definition of done
A transformation built on a REAL, un-staged before captured under the same conditions as the after, with the journey (process, setbacks, real timeline) as the content and any aids (filters/medication/surgery/pro help) disclosed, the reveal shot with consistent angle/lighting/framing (no visual trickery), results framed honestly (no cherry-pick/survivorship; and if the result isn't typical, the ACTUAL typical result disclosed via median + substantiation, clearly and conspicuously — never just "results not typical"), using actual consumers (or disclosed) with consent, and tied to the viewer with a relatable before + attainable after + actionable takeaway; the agent structures + specs, the human/tool produces the real media, and WoopSocial publishes; measured on saves/shares + watch-through + inquiries rather than likes; YMYL (competent + reliable evidence, no cure/guarantee), consent/likeness, and no-fabrication all handled; nothing staged, cherry-picked, mis-timed, or fabricated; and correctly distinguished from social-proof-and-testimonials, short-form-video-script, infographic-and-data-viz, and storytelling-and-narrative.