HyperFrames Video Entry Point
heygen-com/hyperframes
Entry point for making, editing and rendering videos from HTML compositions with HyperFrames, routing each request to the right workflow.
Assemble the FREE steps of the flat-vector-explainer video format — a flat-illustration host character (who, where, tone, voice and music come from the recipe choices) walks a countable N-step…
Install Render Flat Vector Explainer
$ npx skills add gooseworks-ai/goose-skills --skill render-flat-vector-explainer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills render-flat-vector-explainer --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-flat-vector-explainer .claude/skills/render-flat-vector-explainer && 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-flat-vector-explainer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-flat-vector-explainer into .claude/skills/render-flat-vector-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-flat-vector-explainer", 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-flat-vector-explainerType 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-flat-vector-explainer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills render-flat-vector-explainer --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-flat-vector-explainer .agents/skills/render-flat-vector-explainer && 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-flat-vector-explainer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-flat-vector-explainer into .agents/skills/render-flat-vector-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-flat-vector-explainer", 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-flat-vector-explainer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills render-flat-vector-explainer --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-flat-vector-explainer .cursor/skills/render-flat-vector-explainer && 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-flat-vector-explainer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-flat-vector-explainer into .cursor/skills/render-flat-vector-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-flat-vector-explainer", 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-flat-vector-explainer--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-flat-vector-explainer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills render-flat-vector-explainer --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-flat-vector-explainer .gemini/skills/render-flat-vector-explainer && 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-flat-vector-explainer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-flat-vector-explainer into .gemini/skills/render-flat-vector-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-flat-vector-explainer", 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-flat-vector-explainerInstalls 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-flat-vector-explainer -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-flat-vector-explainer .github/skills/render-flat-vector-explainer && 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-flat-vector-explainer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-flat-vector-explainer into .github/skills/render-flat-vector-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-flat-vector-explainer", 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-flat-vector-explainer -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-flat-vector-explainer --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-flat-vector-explainer .opencode/skills/render-flat-vector-explainer && 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-flat-vector-explainer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-flat-vector-explainer into .opencode/skills/render-flat-vector-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-flat-vector-explainer", 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-flat-vector-explainer- GitHub stars
- 1.2k
- Token cost
- ~1.6k tokens
- SKILL.md length
- 700 words
- Files
- 6 (incl. scripts)
- Skills in repo
- 217
- Repo updated
- First seen
- Licence
- MIT
At a glance
Assemble the FREE steps of the flat-vector-explainer video format — a flat-illustration host character (who, where, tone, voice and music come from the recipe choices) walks a countable N-step…
- Works in 2 steps: Motion layer != text layer. Animate a… → Real assets != AI assets. The per-step…
- The flat-vector-explainer format
- SKILL.md covers Choices, The two non-negotiable…, Free assembly steps (this… and Paid gen steps (separate…, plus 1 more section
- Tasks that involve Video production
What it does
Render Flat Vector Explainer is an agent skill from gooseworks-ai/goose-skills. Assemble the FREE steps of the flat-vector-explainer video format — a flat-illustration host character (who, where, tone, voice and music come from the recipe choices) walks a countable N-step product routine, one step per beat, and Remotion composites every chip/numeral/tagline/slate/CTA as an animated DOM overlay ON TOP of the Kling i2v character clips (text is NEVER baked into a keyframe — i2v warps type), the closing 'N products' grid is a PIL composite of the REAL product photos (not AI), full-sentence VO…
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts (for example `scripts/PIPELINE.md`, `scripts/README.md` and `scripts/config.example.json`).
It sits in Media & Creative, covering Video production, AI video generation and Positioning and messaging. It works with Remotion. 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 flat-vector-explainer format
- Tasks that involve Video production
- Tasks that involve AI video generation
Example prompts
- “N products”
- “/render-flat-vector-explainer”
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- Motion layer != text layer. Animate a text-stripped clean plate with Kling i2v (subtle motion, style-preserving negative, cfg 0.5), then…
- Real assets != AI assets. The per-step product photo and the closing "N products" grid are real product webps composited with PIL (AI…
What it can do on your machine
Read from SKILL.md and the folder at commit cc3e518. 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 3 files in scripts/, 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 Flat Vector Explainer loads about 1.6k tokens when it runs. Until then it costs about 243 tokens; SKILL.md has 700 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 cc3e518, republished under its MIT licence (© gooseworks-ai). 700 words, ~1,554 tokens.
Download SKILL.mdSave it as
.claude/skills/render-flat-vector-explainer/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- render-flat-vector-explainer
- description
- Assemble the FREE steps of the flat-vector-explainer video format — a flat-illustration host character (who, where, tone, voice and music come from the recipe choices) walks a countable N-step product routine, one step per beat, and Remotion composites every chip/numeral/tagline/slate/CTA as an animated DOM overlay ON TOP of the Kling i2v character clips (text is NEVER baked into a keyframe — i2v warps type), the closing 'N products' grid is a PIL composite of the REAL product photos (not AI), full-sentence VO drives word-by-word burned captions over a VO-forward music bed, and the ~50s animated silent master is re-cut to a 30s deliverable FROM the animated master (never a static intermediate). Documentation-grade — ships config.example.json + PIPELINE.md + a README of the free assembly; the paid gen steps (keyframes, Kling i2v, VO, music) are separate capabilities the recipe orchestrates. Use for the flat-vector-explainer format.
- status
- active
render-flat-vector-explainer
Assembles a flat-vector product-routine explainer: one illustrated host character walks through a countable N-step routine (e.g. the demo's collagen -> serum -> eye cream -> hair), one step per beat, each beat carrying a large corner numeral, a labelled chip + one-line tagline, and the step's real product photo, closing on an "N products" grid + brand CTA. It reads as a premium DTC explainer (Spotify/Anchor flat-vector lineage), not UGC.
This capability is documentation-grade. The content-goose molecule is a documented recipe, not a runnable end-to-end app, so this capability ships the config schema (scripts/config.example.json), the field-to-script map (scripts/PIPELINE.md), and a README (scripts/README.md) describing the FREE assembly steps the agent runs by hand with ffmpeg + Remotion + PIL. The paid generative steps are separate capabilities the recipe orchestrates and gates.
Choices
Creative calls the user makes (the recipe's choices, asked in one round before any paid step). The demo's value is only an example, never the default. The flat-vector 2D style itself is the format, not a choice.
host— who the illustrated host is (gender, age, look, outfit) ->character.anchor_prompt. Asked; the demo used a late-20s woman with brown wavy hair in a cream slip-dress.setting— where the routine happens -> the character keyframe prompts. Asked; the demo used a bathroom counter.tone— the script's tone -> VO lines + expressions. Asked; the demo used faintly comedic overwhelm -> satisfied payoff.narrator_voice— the VO voice ->voice.voice_id. Asked; the demo used ElevenLabs "Eryn".music— the bed ->music.prompt(or none). Asked; the demo used lo-fi pop, 95-105 BPM.
scripts/config.example.json is the Spoiled Child worked example: copy its structure, never its creative values or its brand palette.
The two non-negotiable separations
- Motion layer != text layer. Animate a text-stripped clean plate with Kling i2v (subtle motion, style-preserving negative, cfg 0.5), then composite every chip / numeral / tagline / slate / CTA as an animated Remotion DOM overlay on top. Baking text into the keyframe before i2v warps the type and forfeits the ability to retime/restyle it — this separation is the format's whole credibility.
- Real assets != AI assets. The per-step product photo and the closing "N products" grid are real product webps composited with PIL (AI duplicates SKUs in a grid). Only the character vignettes and stylized backgrounds are generative.
Show full SKILL.md (337 more words)Show less
Free assembly steps (this capability)
The agent runs these deterministic, $0 steps by hand — see scripts/README.md for the ffmpeg/Remotion/PIL detail:
- Remotion overlay — import each Kling clip as the moving base; composite chips / numerals / taglines / slate / grid / CTA as animated DOM on top -> the animated silent master. Slate/grid/CTA beats are Remotion text with no i2v.
- PIL product grid — composite the N real product webps on the brand ground for the closing lockup; preserve each aspect (never stretch, never AI-dupe).
- Captions — word-by-word burned from the eleven_v3 with-timestamps char timings (libass); suppress on slate/grid/CTA scenes so two text layers don't collide.
- Audio mix + master — place each VO line at its scene start, duck the music under VO (sidechaincompress),
loudnorm I=-15VO-forward, mux, burn captions LAST ->finals/master-final.mp4(~50s). - 30s cut — slice each beat's region OUT of the animated silent master (never a static intermediate); trim short beats, gently slow long beats (setpts <=1.6x), re-burn scaled captions ->
finals/master-final-30s-v1.mp4.
Paid gen steps (separate capabilities)
The recipe orchestrates and gates these; they are not part of this capability:
- Flat-vector character anchor + per-scene keyframes + clean plates ->
create-image-fal(nano-banana; re-render a FRESH flat-vector anchor, never chain a photoreal ref). - Kling i2v on the character scenes ->
create-video-fal(Kling 2.5-turbo/pro, cfg 0.5, style-preserving negative, low motion; TEST one scene before batching). - Full-sentence VO ->
create-vo-elevenlabs(eleven_v3, with-timestamps). - Music bed in the chosen style (demo: lo-fi pop; skip if the user chose no music) ->
create-music-elevenlabs.
Contract
- Documentation-grade + FREE assembly (Remotion + PIL + FFmpeg); no paid calls in this capability, no AI-rendered text.
- Text is an overlay, never baked. Strip to a clean plate -> i2v -> composite text as Remotion DOM.
- Any multi-SKU grid is PIL of the real product webps; preserve each aspect ratio.
- Kling holds the 2D flat-vector look only at LOW motion (cfg 0.5 + style-preserving negative). Aggressive motion drifts to photoreal.
- Cut down from the ANIMATED master, never a static intermediate; frame-diff to prove localized motion.
- The paid steps — keyframes/clean plates, Kling i2v, VO, music — are separate capabilities (create-image-fal, create-video-fal, create-vo-elevenlabs, create-music-elevenlabs); the recipe orchestrates them and gates the spend.
© 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 5 other files (scripts) in skills/ads/capabilities/render-flat-vector-explainer of gooseworks-ai/goose-skills.
- SKILL.md
- scripts/PIPELINE.md
- scripts/README.md
- scripts/config.example.json
- skill.meta.json
- tests/smoke-test.md
Open the folder on GitHubat commit cc3e518
Compare with similar skills
Render Flat Vector Explainer 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 Flat Vector Explainer this skillgooseworks-ai/goose-skills | 1.2k | — | ~1.6k | Automated safety check: Pass | MIT | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 58k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Ergo Remotion Videoitwanger/toBeBetterJavaer | 18k | — | ~1.1k | Automated safety check: Pass | None | |
| Avatar Videocalesthio/OpenMontage | 65k | — | ~1.6k | Automated safety check: Pass | AGPL-3.0 | |
| Video Podcast Maker LiteAgents365-ai/video-podcast-maker | 1.7k | — | ~4.5k | Automated safety check: Pass | MIT | |
| Anything2explainerVincentwei1021/anything2explainer | 2.3k | — | ~2.7k | Automated safety check: Pass | Custom licence |
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Related
Works with
Categories
Questions about Render Flat Vector Explainer
What does Render Flat Vector Explainer do?
Assemble the FREE steps of the flat-vector-explainer video format — a flat-illustration host character (who, where, tone, voice and music come from the recipe choices) walks a countable N-step…. Render Flat Vector Explainer is an agent skill from gooseworks-ai/goose-skills.
When should I use Render Flat Vector Explainer?
Render Flat Vector Explainer fits situations like: the flat-vector-explainer format; tasks that involve Video production; tasks that involve AI video generation.
How do I install Render Flat Vector Explainer in Claude Code?
Run `npx skills add gooseworks-ai/goose-skills --skill render-flat-vector-explainer -a claude-code`. Or copy the skill folder (skills/ads/capabilities/render-flat-vector-explainer in gooseworks-ai/goose-skills) into .claude/skills/render-flat-vector-explainer in your project. Claude Code loads it when a task matches its description.
How do I install Render Flat Vector Explainer in Codex?
Run `npx skills add gooseworks-ai/goose-skills --skill render-flat-vector-explainer -a codex`. Or copy the skill folder (skills/ads/capabilities/render-flat-vector-explainer in gooseworks-ai/goose-skills) into .agents/skills/render-flat-vector-explainer in your project. Codex loads it when a task matches its description.
Can I use Render Flat Vector Explainer 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-flat-vector-explainer -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-flat-vector-explainer, .gemini/skills/render-flat-vector-explainer, .github/skills/render-flat-vector-explainer and .opencode/skills/render-flat-vector-explainer in your project.
What does Render Flat Vector Explainer need to run?
SKILL.md names no scripts, command-line tools or credentials: Render Flat Vector Explainer is instructions for the agent only.
Does Render Flat Vector Explainer 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 Flat Vector Explainer 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 Flat Vector Explainer use?
Render Flat Vector Explainer 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 Flat Vector Explainer use?
About 1.6k tokens (SKILL.md is roughly 6.2k 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 Flat Vector Explainer?
Skills that share tags, products or a category with Render Flat Vector Explainer: HyperFrames Video Entry Point (heygen-com/hyperframes, 58k stars), Ergo Remotion Video (itwanger/toBeBetterJavaer, 18k stars), Avatar Video (calesthio/OpenMontage, 65k stars) and Video Podcast Maker Lite (Agents365-ai/video-podcast-maker, 1.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Render Flat Vector Explainer?
gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,234 GitHub stars. The repository holds 217 skills in this directory. The repository was last updated on October 7, 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.