Agent skill

Render Brand Identity Reveal

by gooseworks-ai in gooseworks-ai/goose-skills

Install Render Brand Identity Reveal

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill render-brand-identity-reveal -a claude-code

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

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills render-brand-identity-reveal --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/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ads/capabilities/render-brand-identity-reveal .claude/skills/render-brand-identity-reveal && 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/

Paste into Claude Code

Install the "render-brand-identity-reveal" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-brand-identity-reveal into .claude/skills/render-brand-identity-reveal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-brand-identity-reveal", 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

$skill-installer install https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-brand-identity-reveal

Type 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.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill render-brand-identity-reveal -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills render-brand-identity-reveal --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ 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-brand-identity-reveal .agents/skills/render-brand-identity-reveal && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "render-brand-identity-reveal" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-brand-identity-reveal into .agents/skills/render-brand-identity-reveal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-brand-identity-reveal", 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.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill render-brand-identity-reveal -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills render-brand-identity-reveal --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ 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-brand-identity-reveal .cursor/skills/render-brand-identity-reveal && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "render-brand-identity-reveal" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-brand-identity-reveal into .cursor/skills/render-brand-identity-reveal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-brand-identity-reveal", 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

$ gemini skills install https://github.com/gooseworks-ai/goose-skills.git --path skills/ads/capabilities/render-brand-identity-reveal

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill render-brand-identity-reveal -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills render-brand-identity-reveal --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ 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-brand-identity-reveal .gemini/skills/render-brand-identity-reveal && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "render-brand-identity-reveal" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-brand-identity-reveal into .gemini/skills/render-brand-identity-reveal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-brand-identity-reveal", 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.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills render-brand-identity-reveal

Installs 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).

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill render-brand-identity-reveal -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ 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-brand-identity-reveal .github/skills/render-brand-identity-reveal && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "render-brand-identity-reveal" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-brand-identity-reveal into .github/skills/render-brand-identity-reveal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-brand-identity-reveal", 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.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill render-brand-identity-reveal -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills render-brand-identity-reveal --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ 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-brand-identity-reveal .opencode/skills/render-brand-identity-reveal && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "render-brand-identity-reveal" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-brand-identity-reveal into .opencode/skills/render-brand-identity-reveal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-brand-identity-reveal", 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-brand-identity-reveal
GitHub stars: 1.2k
Token cost: ~1.4k tokens
SKILL.md length: 523 words
Files: 11 (incl. scripts)
Skills in repo: 273
Repo updated: Oct 8, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Works in 3 steps: Environment plate (PAID,… → Mockups (FREE) — real-DOM HTML/CSS… → Composite (FREE) — measure_frame.py…
The brand-identity-reveal format
SKILL.md covers Choices, Three layers, Inputs and Workflow (free assembly), plus 2 more sections
Runs Python and Shell scripts from its folder; calls python3 and bash

What it does

Render Brand Identity Reveal is an agent skill from gooseworks-ai/goose-skills. Render a 'brand identity reveal' video from a config — a single poster frame in a real, softly-lit space (real wall, soft-focus plant in the corner, dappled leaf shadow, illuminated poster) whose artwork HARD-CUTS through ~10 on-brand poster mockups (hero product, IG post, hanging banners, sticker sheet, logo lockup, poster, two lifestyle stills, packaging, big icon) then holds on a brand end card. The environment plate is one create-image-fal generation; the mockups are real-DOM HTML frame-stepped via…

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including scripts (for example `scripts/PIPELINE.md`, `scripts/build_video.sh` and `scripts/composite.py`).

It sits in Media & Creative, covering Brand strategy and identity, Text to speech and voice and Video production. It works with ElevenLabs, Playwright and FFmpeg. 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 brand-identity-reveal format
Tasks that involve Brand strategy and identity
Tasks that involve Text to speech and voice

Example prompts

“brand identity reveal”
“/render-brand-identity-reveal”

Requirements

Python 3
A Bash shell

Workflow steps

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

Environment plate (PAID, create-image-fal, flux-pro ultra, 9:16) — an empty lit
Mockups (FREE) — real-DOM HTML/CSS (scene.html), one poster per beat, built from the
Composite (FREE) — measure_frame.py detects the blank poster interior quad;

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 8 files in scripts/ (Python and Shell), which the agent can run.
Shell commands in SKILL.md call:
- python3
- bash
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 Brand Identity Reveal loads about 1.4k tokens when it runs. Until then it costs about 227 tokens; SKILL.md has 523 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~227
When it runs · the whole SKILL.md, loaded when a task matches: ~1.4k

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). 523 words, ~1,362 tokens.

Download SKILL.mdSave it as .claude/skills/render-brand-identity-reveal/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.

name: render-brand-identity-reveal
description: Render a 'brand identity reveal' video from a config — a single poster frame in a real, softly-lit space (real wall, soft-focus plant in the corner, dappled leaf shadow, illuminated poster) whose artwork HARD-CUTS through ~10 on-brand poster mockups (hero product, IG post, hanging banners, sticker sheet, logo lockup, poster, two lifestyle stills, packaging, big icon) then holds on a brand end card. The environment plate is one create-image-fal generation; the mockups are real-DOM HTML frame-stepped via Playwright, perspective-composited into the detected frame quad with the plate's real leaf-shadow multiplied back onto each poster (reads as behind glass), sequenced by FFmpeg. Deterministic assembly, FREE (the plate comes from create-image-fal, the bed from create-music-elevenlabs), music bed only and approved brand copy only. Use for the brand-identity-reveal format.
status: active

render-brand-identity-reveal

Render the 'brand identity reveal' format from a config. The signature is a single fixed poster frame in a REAL, softly-lit space (the illuminated poster-frame look of a shop, café, cinema or metro — the setting and wall are chosen per video): a real wall, a real soft-focus plant in the lower-left corner, dappled leaf shadow. The artwork INSIDE the frame HARD-CUTS (no crossfade) through 11 beats — 10 on-brand poster mockups + a brand END CARD held ~3s. Music bed only, NO voiceover; copy is baked into each mockup, never overlaid as captions.

This capability is the FREE assembly only. The paid parts are separate generic capabilities the recipe names — create-image-fal (the one-shot environment plate) and create-music-elevenlabs (the bed). Never re-implement them here.

Choices

The calling recipe asks the user these before any paid step; this capability only reads them from config. The worked example (Touchland) values are examples, never defaults.

setting — where the frame hangs → config.plate.setting (demo: premium boutique interior).
wall_style — the wall it is mounted on → config.plate.wall_style (demo: sage subway tile).
music — the bed's genre/mood → config.music.direction (demo: upbeat playful pop).

Three layers

Environment plate (PAID, create-image-fal, flux-pro ultra, 9:16) — an empty lit poster frame in a real space, high-res so the camera can be pushed closer by cropping. Pick a wall color that makes the brand's poster colors POP (complement of the dominant hue).
Mockups (FREE) — real-DOM HTML/CSS (scene.html), one poster per beat, built from the brand's real assets + approved copy, frame-stepped via Playwright (render_art.py, bare mode, device_scale_factor 2).
Composite (FREE) — measure_frame.py detects the blank poster interior quad; composite.py perspective-warps each poster into it AND multiplies the plate's real leaf-shadow/light back onto the poster (so it reads as behind glass) + a glass sheen; build_video.sh sequences the frames with the music bed.

Show full SKILL.md (228 more words)Show less

Inputs

config.json — copy scripts/config.example.json (the Touchland worked example) and edit (canvas, plate prompt + setting + wall_style from the user's choices, camera crop, per-beat durations, end-card copy). Schema + per-file working-dir layout are documented in scripts/PIPELINE.md.
The brand's REAL product/packaging/lifestyle stills, wordmark, and icon (recreate the icon as an SVG <mask> if the only source has an occluding element). Approved copy only.

Workflow (free assembly)

bash

CAP=skills/ads/capabilities/render-brand-identity-reveal
RUN=<project>/working    # holds scene.html + assets/ + the create-image-fal plate in bg/

python3 $CAP/scripts/recrop.py 0.72 0.13      # camera distance (bigger frac = bigger frame); src = first bg/plate_*.png
python3 $CAP/scripts/measure_frame.py         # detect the blank poster interior quad
python3 $CAP/scripts/render_art.py            # render each poster standalone (Playwright, dsf 2)
python3 $CAP/scripts/composite.py             # warp into frame + shadow multiply + sheen
bash    $CAP/scripts/build_video.sh $RUN/concat.txt $RUN/music.mp3 out.mp4 13.05 1.0

Then watch the master (music-only, every poster legible, shadow falls across the art, end card holds). See scripts/PIPELINE.md for adapting scene.html per brand.

Rules

Approved brand copy ONLY — never invent claims, customers, results, or testimonials.
Toggle beats with OPACITY, not display (a per-state display:flex silently overrides a display:none toggle and paints one state over all others).
Camera distance = re-crop the high-res plate (recrop.py), don't regenerate.
The realism trick = MULTIPLY the plate's real shadow/light back onto each composited poster.
Music bed only, no VO. Close on the brand end card.

Failure Modes

Every rendered frame identical → a per-beat display: rule beat the visibility toggle; use opacity.
Playwright evaluate(fn, arg) didn't switch state in a loop → bake the beat index into the JS string and return the applied state to assert it.
Composited poster looks pasted-on → you skipped the shadow multiply (shadow_strength ~0.85).
Studio product won't cut out (white cap == seamless bg) → present as a photo-tile, don't corner-flood-fill.
Playwright missing under node → use the python playwright + cached chromium.

Files

SKILL.md and 10 other files (scripts) in skills/ads/capabilities/render-brand-identity-reveal of gooseworks-ai/goose-skills.

SKILL.md
scripts/PIPELINE.md
scripts/build_video.sh
scripts/composite.py
scripts/config.example.json
scripts/measure_frame.py
scripts/recrop.py
scripts/render_art.py
scripts/scene.html
skill.meta.json
tests/smoke-test.md

Open the folder on GitHubat commit c650c6d

Compare with similar skills

Render Brand Identity Reveal 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.

Render Brand Identity Reveal compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Render Brand Identity Reveal this skillgooseworks-ai/goose-skills	1.2k	—	~1.4k	Automated safety check: Pass	MIT	2 days ago
Explain Videolimin112/min-skill	454	—	~2.4k	Automated safety check: Pass	None	2 days ago
Video Productionspeechlab0210/video-production-skill	105	—	~4.1k	Automated safety check: Notes	MIT	3 mo ago
Super Video MakerBomx/super-video-maker-skill	310	—	~11k	Automated safety check: Notes	None	2 mo ago
Hearyourvoicekillernay/HearYourVOICE	140	—	~10k	Automated safety check: Notes	MIT	2 mo ago
Whiteboard Videotrustfuture/simon-skills	382	—	~1.8k	Automated safety check: Notes	MIT	17 days ago

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Works with

Questions about Render Brand Identity Reveal

What does Render Brand Identity Reveal do?

Render a 'brand identity reveal' video from a config — a single poster frame in a real, softly-lit space (real wall, soft-focus plant in the corner, dappled leaf shadow, illuminated poster) whose…. Render Brand Identity Reveal is an agent skill from gooseworks-ai/goose-skills. Render a 'brand identity reveal' video from a config — a single poster frame in a real, softly-lit space (real wall, soft-focus plant in the corner, dappled leaf shadow, illuminated poster) whose artwork HARD-CUTS through ~10 on-brand poster mockups (hero product, IG post, hanging banners, sticker sheet, logo lockup, poster, two lifestyle stills, packaging, big icon) then holds on a brand end card.

When should I use Render Brand Identity Reveal?

Render Brand Identity Reveal fits situations like: the brand-identity-reveal format; tasks that involve Brand strategy and identity; tasks that involve Text to speech and voice.

How do I install Render Brand Identity Reveal in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill render-brand-identity-reveal -a claude-code`. Or copy the skill folder (skills/ads/capabilities/render-brand-identity-reveal in gooseworks-ai/goose-skills) into .claude/skills/render-brand-identity-reveal in your project. Claude Code loads it when a task matches its description.

How do I install Render Brand Identity Reveal in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill render-brand-identity-reveal -a codex`. Or copy the skill folder (skills/ads/capabilities/render-brand-identity-reveal in gooseworks-ai/goose-skills) into .agents/skills/render-brand-identity-reveal in your project. Codex loads it when a task matches its description.

Can I use Render Brand Identity Reveal 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-brand-identity-reveal -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-brand-identity-reveal, .gemini/skills/render-brand-identity-reveal, .github/skills/render-brand-identity-reveal and .opencode/skills/render-brand-identity-reveal in your project.

What does Render Brand Identity Reveal need to run?

Going by SKILL.md and its folder, Render Brand Identity Reveal needs Python and a shell for the scripts in its folder and the command-line tools its instructions call (python3 and bash). Our summary lists: Python 3; A Bash shell.

Does Render Brand Identity Reveal 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 Brand Identity Reveal 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 Brand Identity Reveal use?

Render Brand Identity Reveal 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 Brand Identity Reveal use?

About 1.4k tokens (SKILL.md is roughly 5.4k 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 Brand Identity Reveal?

Skills that share tags, products or a category with Render Brand Identity Reveal: Explain Video (limin112/min-skill, 454 stars), Video Production (speechlab0210/video-production-skill, 105 stars), Super Video Maker (Bomx/super-video-maker-skill, 310 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 Brand Identity Reveal?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 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.

Install Render Brand Identity Reveal

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

render-brand-identity-reveal

Choices

Three layers

Inputs

Workflow (free assembly)

Rules

Failure Modes

Files

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