Explain Video
limin112/min-skill
Build a narrated explainer video from a concept — discussion → structure → HTML slide deck → narration script → TTS voice → subtitles → background music → Playwright screen recording → ffmpeg…
Render a designed 'value prop' video from a config — 3-5 noun-phrase benefit claims (<=4 words each) revealed sequentially over per-SKU product visuals, one crisp editorial frame per claim (hook…
Install Render Value Prop
$ npx skills add gooseworks-ai/goose-skills --skill render-value-prop -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills render-value-prop --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ads/capabilities/render-value-prop .claude/skills/render-value-prop && rm -rf skills-srcUse ~/.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/
Install the "render-value-prop" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-value-prop into .claude/skills/render-value-prop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-value-prop", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-value-propType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add gooseworks-ai/goose-skills --skill render-value-prop -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills render-value-prop --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ads/capabilities/render-value-prop .agents/skills/render-value-prop && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "render-value-prop" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-value-prop into .agents/skills/render-value-prop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-value-prop", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill render-value-prop -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills render-value-prop --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ads/capabilities/render-value-prop .cursor/skills/render-value-prop && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "render-value-prop" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-value-prop into .cursor/skills/render-value-prop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-value-prop", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/gooseworks-ai/goose-skills.git --path skills/ads/capabilities/render-value-prop--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add gooseworks-ai/goose-skills --skill render-value-prop -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills render-value-prop --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ads/capabilities/render-value-prop .gemini/skills/render-value-prop && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "render-value-prop" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-value-prop into .gemini/skills/render-value-prop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-value-prop", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install gooseworks-ai/goose-skills render-value-propInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add gooseworks-ai/goose-skills --skill render-value-prop -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ads/capabilities/render-value-prop .github/skills/render-value-prop && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "render-value-prop" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-value-prop into .github/skills/render-value-prop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-value-prop", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill render-value-prop -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills render-value-prop --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ads/capabilities/render-value-prop .opencode/skills/render-value-prop && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "render-value-prop" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-value-prop into .opencode/skills/render-value-prop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-value-prop", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
render-value-prop- GitHub stars
- 1.2k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 514 words
- Files
- 26 (incl. scripts)
- Skills in repo
- 273
- Repo updated
- First seen
- Licence
- MIT
At a glance
Render a designed 'value prop' video from a config — 3-5 noun-phrase benefit claims (<=4 words each) revealed sequentially over per-SKU product visuals, one crisp editorial frame per claim (hook…
- The value-prop format
- SKILL.md covers Run, Choices and Contract
- Runs JavaScript and Python scripts from its folder
- Tasks that involve Positioning and messaging
What it does
Render Value Prop is an agent skill from gooseworks-ai/goose-skills. Render a designed 'value prop' video from a config — 3-5 noun-phrase benefit claims (<=4 words each) revealed sequentially over per-SKU product visuals, one crisp editorial frame per claim (hook sticker - N claim beats - brand end card). Deterministic PIL/HTML beat renderer frame-stepped via Playwright and encoded with FFmpeg, sound-off legible, hard cuts, uniform pacing. FREE (no paid calls); music is added separately (create-music-elevenlabs). Use for the value-prop format.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 30 other files, including scripts (for example `scripts/build_storyboard_preview.py`, `scripts/build_text_overlays.py` and `scripts/config.example.json`).
It sits in Media & Creative, covering Positioning and messaging, Text to speech and voice and Video production. It works with ElevenLabs, FFmpeg and Playwright. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.
When your agent uses it
- The value-prop format
- Tasks that involve Positioning and messaging
- Tasks that involve Text to speech and voice
Example prompts
- “value prop”
- “/render-value-prop”
Requirements
- Python 3
- Node.js
What it can do on your machine
Read from SKILL.md and the folder at commit c650c6d. 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
Ships 5 files in scripts/ (JavaScript and Python, from the files we listed), which the agent can run.
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
Render Value Prop loads about 1.1k tokens when it runs. Until then it costs about 125 tokens; SKILL.md has 514 words of instructions outside code blocks.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 514 words, ~1,062 tokens.
Download SKILL.mdSave it as
.claude/skills/render-value-prop/SKILL.md (or your agent's skills folder). This skill also uses 25 other files; get the full folder from GitHub.- name
- render-value-prop
- description
- Render a designed 'value prop' video from a config — 3-5 noun-phrase benefit claims (<=4 words each) revealed sequentially over per-SKU product visuals, one crisp editorial frame per claim (hook sticker -> N claim beats -> brand end card). Deterministic PIL/HTML beat renderer frame-stepped via Playwright and encoded with FFmpeg, sound-off legible, hard cuts, uniform pacing. FREE (no paid calls); music is added separately (create-music-elevenlabs). Use for the value-prop format.
- status
- active
render-value-prop
Render a designed 'value prop' video from a config: a hook sticker, then one beat per short noun-phrase benefit claim (<=4 words each — "Drug-Free", "Zero Sugar", "NSF Certified"), each pairing the claim headline with a per-SKU product visual (the hero SKU rotates beat to beat so the eye anchor shifts), then a brand-wordmark end card. Text + product carry the spot — no narration, no talking head — and it is built to be legible sound-off. Every beat is a pure function of beat-local time t (deterministic PIL start frames + Playwright hyperframes + FFmpeg); no CSS keyframes, no setTimeout. FREE (no paid calls); music is a separate capability (create-music-elevenlabs), or ship silent for $0.
Run
render_master.py --config config.json --project <dir> -> <dir>/finals/master-clean.mp4 (silent),
1080x1920, deterministic, $0. The renderer is fully config-driven — palette, copy, SKUs,
pacing, hook, logo and end card all come from config.json (schema = ad_sample.recipe.config;
see config.example.json). Nothing is hardcoded to one brand. build_storyboard_preview.py is an
optional free preview gallery for the gate; build_text_overlays.py is optional (transparent
text-zone PNGs for compositing claims over a motion clip). Both preview scripts take their ink,
background, brand name and logo from shot-list.yml project: or the project's config.json
(neutral fallbacks otherwise). shared/beat-templates/ are reference layouts with placeholder copy;
the renderer does not read them.
Choices
The value-prop recipe asks these of the user; this capability renders whatever the config says.
music— the bed under the claims, or silent (setsmusic_brief, consumed by create-music-elevenlabs, not this renderer). Asked of the user; the demo used calm ambient sleep music.background— what the claims sit on (setspalette.bg). Asked of the user; the demo used white with a navy headline.palette.inkcomes from the brand kit.
Environment: run with a Python that has Playwright (override the frame-render interpreter with
RENDER_PYTHON); ffmpeg is auto-discovered (FFMPEG env > PATH > common prefixes). The frame
renderer render_hyperframe.py is bundled in scripts/ — no external atom to fetch.
Show full SKILL.md (203 more words)Show less
Contract
- Deterministic + FREE (Playwright frame-step + FFmpeg); no paid calls, no AI-rendered text.
- Claims are noun phrases, <=4 words; never <3, never >5. Optional benefit sentence <=12 words.
- One product visual per beat; rotate which SKU is the hero. Never reuse a flat variety-pack image as every canvas.
- Sound-off legibility is the bar: the headline uses the config
palette.inkcolor onpalette.bg; the per-beat accent color (fromvalue_props[].accent— a SKU-accent slug or a hex) is the accent rule, not the headline. - Product widths auto-scale from each image's aspect ratio (target display height), so tall sachet cutouts and wide product packshots both frame correctly.
- Assets are packshots, not always transparent cutouts: set
palette.bgto the product image's background color for seamless compositing (free — avoids a paid background-removal step). - Uniform pacing (hook ~3.0s, props 2.0-2.5s each, endcard ~2.0s); total lands in the 10-20s window (~17s). No acceleration curve.
- No human face is the focus. End card uses the brand wordmark image when a hi-res one
(aspect >= ~1.2, i.e. a real >=1200x600 wordmark) is provided via
config.logo; otherwise it falls back to a typographicbrand_namewordmark (many brands ship only a favicon). - Music is added separately by create-music-elevenlabs (quiet instrumental bed at -14 dB), or ship silent.
© gooseworks-ai, 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 25 other files (scripts) in skills/ads/capabilities/render-value-prop of gooseworks-ai/goose-skills.
- SKILL.md
- scripts/build_storyboard_preview.py
- scripts/build_text_overlays.py
- scripts/config.example.json
- scripts/render_hyperframe.py
- scripts/render_master.py
- shared/_shared.css
- shared/_shared.js
- shared/animations/registry.yml
- shared/animations/sachet-entrance/cascade-from-top.js
- shared/animations/sachet-entrance/fade-stagger.js
- shared/animations/sachet-entrance/slide-in-lateral.js
- shared/animations/sachet-entrance/springScale-pop.js
- shared/animations/sachet-entrance/tilt-fan.js
- shared/animations/text-entrance/fade-stagger.js
- shared/animations/text-entrance/mask-reveal.js
- … and 10 more
Open the folder on GitHubat commit c650c6d
Compare with similar skills
Render Value Prop 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Render Value Prop this skillgooseworks-ai/goose-skills | 1.2k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Explain Videolimin112/min-skill | 412 | — | ~2.4k | Automated safety check: Pass | None | |
| Video Productionspeechlab0210/video-production-skill | 105 | — | ~4.1k | Automated safety check: Notes | MIT | |
| Super Video MakerBomx/super-video-maker-skill | 309 | — | ~11k | Automated safety check: Notes | None | |
| Hearyourvoicekillernay/HearYourVOICE | 140 | — | ~10k | Automated safety check: Notes | MIT | |
| Whiteboard Videotrustfuture/simon-skills | 374 | — | ~1.8k | Automated safety check: Notes | MIT |
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Related
Works with
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Questions about Render Value Prop
What does Render Value Prop do?
Render a designed 'value prop' video from a config — 3-5 noun-phrase benefit claims (<=4 words each) revealed sequentially over per-SKU product visuals, one crisp editorial frame per claim (hook…. Render Value Prop is an agent skill from gooseworks-ai/goose-skills. Render a designed 'value prop' video from a config — 3-5 noun-phrase benefit claims (<=4 words each) revealed sequentially over per-SKU product visuals, one crisp editorial frame per claim (hook sticker - N claim beats - brand end card).
When should I use Render Value Prop?
Render Value Prop fits situations like: the value-prop format; tasks that involve Positioning and messaging; tasks that involve Text to speech and voice.
How do I install Render Value Prop in Claude Code?
Run `npx skills add gooseworks-ai/goose-skills --skill render-value-prop -a claude-code`. Or copy the skill folder (skills/ads/capabilities/render-value-prop in gooseworks-ai/goose-skills) into .claude/skills/render-value-prop in your project. Claude Code loads it when a task matches its description.
How do I install Render Value Prop in Codex?
Run `npx skills add gooseworks-ai/goose-skills --skill render-value-prop -a codex`. Or copy the skill folder (skills/ads/capabilities/render-value-prop in gooseworks-ai/goose-skills) into .agents/skills/render-value-prop in your project. Codex loads it when a task matches its description.
Can I use Render Value Prop 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 gooseworks-ai/goose-skills --skill render-value-prop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/render-value-prop, .gemini/skills/render-value-prop, .github/skills/render-value-prop and .opencode/skills/render-value-prop in your project.
What does Render Value Prop need to run?
Going by SKILL.md and its folder, Render Value Prop needs JavaScript and Python for the scripts in its folder. Our summary lists: Python 3; Node.js.
Does Render Value Prop 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 Render Value Prop 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Render Value Prop use?
Render Value Prop 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 Render Value Prop use?
About 1.1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Render Value Prop?
Skills that share tags, products or a category with Render Value Prop: Explain Video (limin112/min-skill, 412 stars), Video Production (speechlab0210/video-production-skill, 105 stars), Super Video Maker (Bomx/super-video-maker-skill, 309 stars) and Hearyourvoice (killernay/HearYourVOICE, 140 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Render Value Prop?
gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,239 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.
Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.