scenario-brand-kit
Use when building a visual identity or brand kit with Scenario: a logo, wordmark, or icon as editable SVG, a color palette and typography spec, logo variants (mono, reversed, favicon), and brand applications like social templates, avatars, banners, or merchandise mockups.
Install / Use
npx skills add scenario-labs/skills --skill scenario-brand-kitInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of scenario-brand-kit
scenario-brand-kit scores 84/100 on our quality scale, 2889th of 4,647 Development & Engineering skills we index.
Its SKILL.md is 13 KB long, split into 6 sections and no code examples: a thorough specification that gives an agent plenty to work with.
With 1,048 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 8 days ago, so scenario-brand-kit is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
scenario-brand-kit compared with similar skills
All 4 of these similar skills score higher than scenario-brand-kit; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| scenario-brand-kit (this skill)by scenario-labs | 84 | 1.0k | 8d ago | SKILL.md |
| algorithmic-artby anthropics | 100 | 177.9k | 34d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 34d ago | SKILL.md |
| math-olympiadby anthropics | 100 | 43.1k | 8d ago | SKILL.md |
| code-review-excellenceby wshobson | 100 | 39.9k | 36d ago | SKILL.md |
Frequently asked questions
- How do I install scenario-brand-kit?
- Run
npx skills add scenario-labs/skills --skill scenario-brand-kit. The install tabs above show the steps for each supported agent. - Which AI agents does scenario-brand-kit work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is scenario-brand-kit safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is scenario-brand-kit still maintained?
- The repository was last updated 8 days ago, so scenario-brand-kit is actively maintained.
Skill content
View source on GitHubname: scenario-brand-kit description: "Use when building a visual identity or brand kit with Scenario: a logo, wordmark, or icon as editable SVG, a color palette and typography spec, logo variants (mono, reversed, favicon), and brand applications like social templates, avatars, banners, or merchandise mockups. Also for a rebrand or refreshing an existing mark. Keywords: brandkit, brand kit, visual identity, logo, monogram, wordmark, SVG, vectorize, color palette, typography, brand guidelines, brand board, launch kit." license: MIT
Scenario Brand Kit
Overview
An identity is decided, then rendered. Palette and typography are choices written into a spec before
any run; the logo is generated once as a real vector and reused everywhere; every application
references the approved mark instead of re-imagining it. Connection and the core loop: see the
scenario skill. Finding the direction when nothing is decided: scenario-inspiration. Image runs
and reference wiring: scenario-image. Exact taglines and CTAs on applications:
scenario-text-overlay. Per-placement sizes: scenario-formats. Gating contract:
scenario-asset-analysis. If a sibling skill named here is missing from your available skills, ask
the user to install it (npx skills add scenario-labs/skills --skill <name>); unattended, proceed
from tool schemas and flag the gap.
Quick reference
| Need | Route |
| ------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| The spec | Written first, by you with the user, before any generation: contents under The spec sheet |
| Logo, native | recommend capability="txt2img", the prompt demanding a real editable SVG and not a raster: that clause, not the capability, is what surfaces the vector generator; skip a style member ranked first (it refuses a run without style inputs, see Icon strip) for the plain SVG sibling, found by search on the same name |
| Logo, traced | An existing raster mark: recommend capability="img2img", the prompt saying trace to editable SVG, do not regenerate |
| Gate | asset_analyze the mark with the spec via text_inputs; a drifted wordmark is re-run, never patched |
| Variants | asset_get the mark, save its url (curl -L) for the stored SVG, recolor locally, upload_asset each variant |
| Applications | recommend with capability="img2img", approved mark as reference, spec hex values in the prompt, one placement per run |
| Icon strip | The vector generator's style members (search, filters={"tags": ["style-consistency", "svg"]}; its plain SVG members expose no image field): raster renders of the mark (asset_download with format png returns a raster of the stored SVG) as styleReferenceImages on the first icon, then that job's style_id (job_get, verbose=true, output metadata) as styleId on the rest, never both |
| The board | model_scenario-compose-image (first-party compositor, id fixed): mark, swatches, specimen, applications as positioned layers, labels via scenario-text-overlay |
| File the kit | collection_create before the first run, collection_add_assets each keeper as it lands, asset_update for each one's role and rule |
The spec sheet
One short document anchors every run and every gate: four to six hex values, each with a role
(primary, ink, paper, accent), the accent recurring on every asset because a second accent reads as
none; two type families with weights and their jobs (display, body); one voice line, short and
specific rather than a slogan; the logo's clear space and minimum size; three "never" rules (never
stretch, never recolor outside the palette, never set the wordmark in another face). Prompts name
hex values from it verbatim, and every gate hands its full text to asset_analyze through
text_inputs (a paraphrase drops exact spelling and hex roles). Type comes from families the
destination can load (widely available or licensed): a generated "font" is a picture of one, so real
text is set by scenario-text-overlay in the spec's family. The wordmark is the exception: it is
drawn once into the mark, gated letter by letter, and reused as artwork from then on.
Worked example: an identity for a new game studio
- Spec first. Name the category, the audience, the promise and the core metaphor before anything is
written down, since step 2's mark comes out of that metaphor. The brief names a mood;
scenario-inspirationturns it into a chosen direction when it names nothing. Write palette, type, and rules down before any generation and confirm with the user (unattended: take the brief's constraints, decide the rest, mark it provisional). Create this run's collection before the first generation (collection_create, catalog write lane,nameonly), thencollection_add_assetseach keeper as it lands; its returneditemCountis the receipt. - Mark:
recommendwithcapability="txt2img"and a prompt demanding a real editable SVG and not a raster;model_schema_getthe pick. Prompt one idea about what the studio makes, reduced until it still reads in one color at favicon size: flat closed geometry, few colors, the spec's hex values, the studio name for the wordmark. Say what to avoid or the model reaches for its defaults (gradient mesh, sparkles, an unmotivated bolt, a globe). A pick that rejects a schema-conformant call is spent: take the next option rather than debugging it, since a schema can mark a field optional that the model requires. Three candidates, each on a different construction method and combining no more than two of them, so the set spans an axis rather than reseeding one idea: monogram fused with the metaphor, the product's verb as a symbol, two ideas reduced to one, negative space carrying a second reading, geometry on a stated grid. Passpriority="cost"on this round, since two of the three are discarded andrecommendotherwise defaults to the quality pick. Onemodel_runper candidate,jobs_wait,asset_display, and let the user pick (unattended: gate all, keep the best pass). - Gate the pick with
asset_analyze(write lane, contract inscenario-asset-analysis), the spec viatext_inputs: name read letter by letter, geometry closed and centered, no resemblance to an existing mark. It gates the render, not the file (scenario-asset-analysis), so the palette check is a local parse of the SVG's fills. Fail means re-run with the prompt tightened (jobs_waitthe new job before re-gating), never an edit of the drifted output. - Variants:
asset_getthe winning mark and save itsurlwithcurl -L, which serves the stored SVG verbatim (asset_downloadconverts to raster,formatdefaulting topng). Recolor fills to make mono, reversed, and paper-background variants;upload_asseteach (kindimage). One mark, colorways as data. - Applications:
recommendwithcapability="img2img", skipping a pick whosewhen_general_betterorcaveatsname the placement at hand; wire the approved mark as reference exactly as the schema says (an array only underarray: true; a pick whose schema has no image field cannot hold the mark, so take the next option). Onemodel_runper placement (avatar, banner, printed card or badge), each prompt subordinating the scene to the mark and barring lettering or fake UI from the frame (a plate shows the mark in place, not the product working): "the exact logo from the reference, unaltered, centered on...".jobs_waitthe runs, then gate each against the spec; text the gate cannot resolve at output size is unverified, not passed (upscale and re-gate, or flag it), and a scene that mangled the mark goes back through the sameimg2imgcall, the prompt naming the defect with the approved mark as ground truth. - Exact text (tagline, handle, URL) is composited by
scenario-text-overlayin the spec's type, never prompted into the plate. Placement sizes derive perscenario-formats. - Board: the kit is judged as one picture.
model_scenario-compose-imagetakes the mark, palette swatches, a type specimen, the voice line set large, an image-direction plate (one more run), an icon and badge strip and two applications as layers placed byx,y,anchorandzIndexon acanvasMode: "custom"canvas, plus a construction panel drawn locally from the master SVG, never generated (a generated diagram shows geometry the mark does not have), panel labels rendered byscenario-text-overlay(layer fields and traps:scenario-video-assembly). Give every layer an explicitwidthandheight, the mark's larger than any other, each withfit: "contain": empty is documented as native size and is not reliable, and setting both dimensions activates the defaultfill, which stretches and breaks the spec's own never-stretch rule. Size the canvas for the smallest caption rather than for a screen (it takes up to 7680x4320, and a 1920x1080 board left palette captions near ten pixels tall), and render each layer from the master SVG at the pixel size that layer occupies instead of reusing one raster every
Truncated for display — read the full file on GitHub.
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From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
