skill

Higgsfield Brandkit

Name: Higgsfield Brandkit
Author: higgsfield-ai

Create and extend complete visual brand systems through the Higgsfield CLI and bundled deterministic local tooling: palettes, SVG logo marks, typography, mockups, social graphics, packaging, signage, merchandise, posters, presentation decks, and editable PPTX/PDF brandbooks. Preserves official supplied assets, persists approvals locally, and regenerates only dependent outputs. Use when: "create a brand kit", "make a visual identity", "design a logo and brandbook", "apply this logo to branded ...

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About

# Higgsfield Brandkit

Build a coherent identity and its requested applications. Treat supplied brand facts and official assets as fixed constraints.

## Bootstrap

1. Resolve `SKILL_ROOT` to this skill's installed directory and create a durable project directory:

```bash BRANDKIT_WORKDIR="${PWD}/brandkit" BRANDKIT_STATE="${BRANDKIT_WORKDIR}/state.json" mkdir -p "${BRANDKIT_WORKDIR}" ```

2. Read [prerequisites](references/prerequisites.md). Check tools before the stage that needs them. Never install system packages without the user's permission. 3. If `higgsfield` is missing, install it only after permission:

```bash curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh ```

4. If `higgsfield account status` fails with an authentication or workspace error, ask the user to run `higgsfield auth login` or select a workspace, then wait. 5. Inspect live model contracts before paid generation:

```bash higgsfield model get recraft_v4_1 --json higgsfield model get seedream_v5_pro --json higgsfield model get gpt_image_2 --json ```

## CLI mapping

| Operation | Command | |---|---| | Discover a model | `higgsfield model get <model> --json` | | Generate and poll | `higgsfield generate create <model> ... --wait --json` | | Resume a job | `higgsfield generate wait <job_id> --json` | | Upload a local asset | `higgsfield upload create <path> --json` | | Import website metadata | `higgsfield marketing-studio brand-kits fetch --url <url> --wait --json` | | Read/write approval state | `python3 "$SKILL_ROOT/scripts/brandkit.py" state ...` | | Render review boards | `python3 "$SKILL_ROOT/scripts/brandkit.py" preview ...` | | Inspect selected logo | `python3 "$SKILL_ROOT/scripts/brandkit.py" logo-inspect ...` | | Export logo files | `python3 "$SKILL_ROOT/scripts/brandkit.py" logo-export ...` | | Build a Brandbook | `python3 "$SKILL_ROOT/scripts/brandkit.py" brandbook-build ...` |

Local image paths passed with `--image` are auto-uploaded. Keep HTML, SVG, PPTX, and PDF deliverables as local project files unless the user explicitly needs a hosted copy.

## User-facing behavior

- Match the user's language. Keep Design Brain reasoning, prompts, state mechanics, scripts, model lookup, and QA internals private. - Send at most one short status sentence per visible generation batch, then stay quiet until the result is ready. - Ask one compact set of only unresolved blocking questions. Never repeat facts or force a complete identity questionnaire for a partial task. - After each palette, logo, typography, or downstream review, stop and wait for ordinary user feedback. - Never infer approval from silence, successful generation, or your own preference. - Preserve exact user copy. Never invent positioning, values, claims, ingredients, prices, certifications, statistics, or regulatory content.

## Core workflow

1. **Classify the request.** - `apply-existing`: use supplied official assets without redesigning them. - `extend-partial`: create only missing slots required by the requested output. - `create-identity`: create a new logo or identity only when explicitly requested. 2. **Read state.** Run:

```bash python3 "$SKILL_ROOT/scripts/brandkit.py" state \ --state-file "$BRANDKIT_STATE" --action get_status ```

Local state is durable. Never paste, hand-edit, or recreate approvals when the state file exists. 3. **Run intake and asset analysis.** Read [intake](references/intake.md), [asset analysis](references/asset-analysis.md), [state routing](references/handoff.md), and [exact state payloads](references/state-payloads.md). Lock every user-declared official logo, palette, and typography slot immediately. 4. **Create the Brand Lock.** Read [Brand Lock](references/brand-lock.md). Record exact spelling, official assets, colors, fonts, layout/shape rules, requested outputs, and forbidden treatments. 5. **Require only the slots the output uses.** - logo-only → palette + logo for a new mark; official logo alone for an existing mark - palette-only → palette - typography-only → typography - copy-free mockup/merch → logo; add palette only when color/application requires it - text-bearing social/packaging/poster/signage → logo + palette + typography - Brandbook/deck → logo + palette + typography 6. **Build missing foundation slots.** Read [Design Brain](references/brandkit-design-brain.md), [concept boards](references/concept-boards.md), [inline reviews](references/inline-widgets.md), and only the needed [palette](references/palette.md), [logo](references/logo.md), or [typography](references/typography.md) module. 7. **Continue the original request** as soon as its required slots are approved. Never ask the user to choose scope again. 8. **Load only the requested production module:** - [mockups](references/mockups.md) - [social graphics](references/social-templates.md) - [posters/banners](references/posters-banners.md) - [

Install

Run this command

npx skills add higgsfield-ai/skills

Works with

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Manual steps

Install with `npx skills add higgsfield-ai/skills`, or clone the repository and copy the `higgsfield-brandkit` folder into your Claude skills directory.

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By higgsfield-ai