Agent skill

Before After And Transformation

by social-media-skills in social-media-skills/skills

The transformation / before-after content format — structure a credible, honest, satisfying transformation (fitness, beauty, business results, skill progress, makeovers, client glow-ups, product…

MITAuto-check passedMedia & Creative

Install Before After And Transformation

skills CLI
$ npx skills add social-media-skills/skills --skill before-after-and-transformation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install social-media-skills/skills before-after-and-transformation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/social-media-skills/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/before-after-and-transformation .claude/skills/before-after-and-transformation && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
before-after-and-transformation
GitHub stars
134
Token cost
~2.1k tokens
SKILL.md length
837 words
Files
6 (incl. references)
Skills in repo
106
Repo updated
First seen
Licence
MIT

At a glance

The transformation / before-after content format — structure a credible, honest, satisfying transformation (fitness, beauty, business results, skill progress, makeovers, client glow-ups, product…

  • Works in 2 steps: brand-profile +… → short-form-video-script (if it's a video).
  • Someone wants a before/after
  • SKILL.md covers The POV: the most-distrusted…, Read these first, The framework: SHIFT and The reality (verify-quarterly…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Before After And Transformation is an agent skill from social-media-skills/skills. 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…

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `evals/evals.json`, `references/before-after-and-transformation-2026-reality.md` and `references/scope-and-connections.md`).

It sits in Media & Creative, covering Marketing psychology, Video production and Storytelling. The repository describes itself as: 106 social media skills for AI agents - strategy, writing, video, design, platform growth, publishing, and analytics. Works with Claude, Cursor, OpenClaw, Hermes & 40+ agents. The licence is MIT.

When your agent uses it

  • Someone wants a before/after
  • A transformation post
  • A client-results reveal
  • A progress/journey story

Example prompts

  • “results not typical”
  • “/before-after-and-transformation”

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. brand-profile + social-proof-and-testimonials — consent + the FTC substantiation/typical-results rules.
  2. short-form-video-script (if it's a video).

What it can do on your machine

Read from SKILL.md and the folder at commit 6e30eeb. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Before After And Transformation loads about 2.1k tokens when it runs, and up to ~5.2k if it reads all its reference files. Until then it costs about 254 tokens; SKILL.md has 837 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~254
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from social-media-skills/skills at commit 6e30eeb, republished under its MIT licence (© social-media-skills). 837 words, ~2,080 tokens.

Download SKILL.mdSave it as .claude/skills/before-after-and-transformation/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
before-after-and-transformation
description
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.
version
1.0.0

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

  1. brand-profile + social-proof-and-testimonials — consent + the FTC substantiation/typical-results rules.
  2. 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.

Show full SKILL.md (357 more words)Show less

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.

© social-media-skills, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (references) in skills/before-after-and-transformation of social-media-skills/skills.

  • SKILL.md
  • evals/evals.json
  • references/before-after-and-transformation-2026-reality.md
  • references/scope-and-connections.md
  • references/the-shift-framework.md
  • references/transformation-types-and-templates.md

Open the folder on GitHubat commit 6e30eeb

Compare with similar skills

Before After And Transformation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Before After And Transformation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
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Brand Launch Video Starvibe-motion/skills1.3k—~2.3kAutomated safety check: PassNone
Video PlanMagicCube/agentara5161 repos~2.6kAutomated safety check: PassNone
Web Visualsglifxyz/glif-mcp-server213—~1.5kAutomated safety check: PassMIT
Seedance Testimonial Storyrediumvex/ai-video-generator-claude409—~7.2kAutomated safety check: PassMIT

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Questions about Before After And Transformation

What does Before After And Transformation do?

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 And Transformation is an agent skill from social-media-skills/skills. 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).

When should I use Before After And Transformation?

Before After And Transformation fits situations like: someone wants a before/after; A transformation post; A client-results reveal; A progress/journey story.

How do I install Before After And Transformation in Claude Code?

Run `npx skills add social-media-skills/skills --skill before-after-and-transformation -a claude-code`. Or copy the skill folder (skills/before-after-and-transformation in social-media-skills/skills) into .claude/skills/before-after-and-transformation in your project. Claude Code loads it when a task matches its description.

How do I install Before After And Transformation in Codex?

Run `npx skills add social-media-skills/skills --skill before-after-and-transformation -a codex`. Or copy the skill folder (skills/before-after-and-transformation in social-media-skills/skills) into .agents/skills/before-after-and-transformation in your project. Codex loads it when a task matches its description.

Can I use Before After And Transformation in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add social-media-skills/skills --skill before-after-and-transformation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/before-after-and-transformation, .gemini/skills/before-after-and-transformation, .github/skills/before-after-and-transformation and .opencode/skills/before-after-and-transformation in your project.

What does Before After And Transformation need to run?

SKILL.md names no scripts, command-line tools or credentials: Before After And Transformation is instructions for the agent only.

Does Before After And Transformation access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Before After And Transformation safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Before After And Transformation use?

Before After And Transformation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Before After And Transformation use?

About 2.1k tokens (SKILL.md is roughly 8.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.1k tokens, read only when the agent opens those files.

What are the alternatives to Before After And Transformation?

Skills that share tags, products or a category with Before After And Transformation: Lanshu Create AI Presenter Video (cclank/lanshu-create-ai-presenter-video, 2.6k stars), Brand Launch Video Star (vibe-motion/skills, 1.3k stars), Video Plan (MagicCube/agentara, 516 stars) and Web Visuals (glifxyz/glif-mcp-server, 213 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Before After And Transformation?

social-media-skills (a GitHub organization) maintains it in social-media-skills/skills, which has 134 GitHub stars. The repository holds 106 skills in this directory. The repository was last updated on October 1, 2026.

Source: social-media-skills/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.