Higgsfield Brandkit
Higgsfield AIOfficialPublished by Higgsfield AI
- Skill
- Content generator
- Design and creative
- MIT
- Medium risk
- Has scripts
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
Higgsfield-brandkit is a deterministic tool designed to create and extend visual brand systems. It manages the lifecycle of brand assets including logos, palettes, typography, and various marketing materials like posters, packaging, and presentation decks. The tool emphasizes consistency by locking authoritative assets and ensuring that generated outputs adhere to established brand constraints. It supports the creation of editable brandbooks and manages the state of approvals locally to prevent redundant work or unauthorized deviations from the brand identity.
What it does
- Generates and manages visual brand elements like logos, palettes, and typography.
- Creates marketing assets including social graphics, posters, packaging, and merchandise.
- Builds editable brandbooks and presentation decks in PPTX and PDF formats.
- Maintains a local state of approved assets to ensure consistency across all outputs.
- Imports and analyzes existing brand metadata for use in new designs.
- Enforces strict adherence to defined brand rules and constraints during generation.
When to use it
- When you need to create a new visual identity or brand kit from scratch.
- When you need to extend an existing brand system with new marketing materials.
- When you need to generate branded assets while ensuring they match official logo and color specifications.
- When you need to produce consistent, editable brand documentation like brandbooks or decks.
Advantages
- Ensures visual consistency by locking authoritative assets as the source of truth.
- Reduces manual effort by automating the generation of dependent brand assets.
- Provides a structured workflow for reviewing and approving brand elements.
- Supports deterministic outputs for specific brand requirements.
- Maintains local project state for efficient iteration and revision.
Usage examples
- “Create a brand kit for my new coffee shop.”
- The agent will initiate the brand identity workflow, starting with palette and logo development based on your input.
- “Apply our existing logo to a new set of social media graphics.”
- The agent will analyze your official logo and brand assets to generate consistent social media templates.
- “Design a brandbook for our company.”
- The agent will compile your approved logo, palette, and typography into an editable brandbook document.
- “Extend our current branding to include packaging designs.”
- The agent will use your existing brand lock to generate packaging concepts that align with your established visual identity.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/higgsfield-ai/higgsfield-brandkit/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip higgsfield-brandkit.zip -d .agents/skills
Documentation by Higgsfield AI
Higgsfield Brandkit
Build a coherent identity and its requested applications. Treat supplied brand facts and official assets as fixed constraints.
Bootstrap
Resolve
SKILL_ROOTto this skill's installed directory and create a durable project directory:BRANDKIT_WORKDIR="${PWD}/brandkit" BRANDKIT_STATE="${BRANDKIT_WORKDIR}/state.json" mkdir -p "${BRANDKIT_WORKDIR}"Read prerequisites. Check tools before the stage that needs them. Never install system packages without the user's permission.
If
higgsfieldis missing, install it only after permission:curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | shIf
higgsfield account statusfails with an authentication or workspace error, ask the user to runhiggsfield auth loginor select a workspace, then wait.Inspect live model contracts before paid generation:
higgsfield model get recraft_v4_1 --json higgsfield model get seedream_v5_pro --json higgsfield model get gpt_image_2 --json
CLI mapping
| Operation | Command |
|---|---|
| Discover a model | higgsfield model get <model> --json |
| Generate and poll | higgsfield generate create <model> ... --wait --json |
| Resume a job | higgsfield generate wait <job_id> --json |
| Upload a local asset | higgsfield upload create <path> --json |
| Import website metadata | higgsfield marketing-studio brand-kits fetch --url <url> --wait --json |
| Read/write approval state | python3 "$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
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.
Read state. Run:
python3 "$SKILL_ROOT/scripts/brandkit.py" state \ --state-file "$BRANDKIT_STATE" --action get_statusLocal state is durable. Never paste, hand-edit, or recreate approvals when the state file exists.
Run intake and asset analysis. Read intake, asset analysis, state routing, and exact state payloads. Lock every user-declared official logo, palette, and typography slot immediately.
Create the Brand Lock. Read Brand Lock. Record exact spelling, official assets, colors, fonts, layout/shape rules, requested outputs, and forbidden treatments.
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
Build missing foundation slots. Read Design Brain, concept boards, inline reviews, and only the needed palette, logo, or typography module.
Continue the original request as soon as its required slots are approved. Never ask the user to choose scope again.
Load only the requested production module:
QA and approval. Read QA and iteration. Repair only the failing output. Save a downstream element only after explicit approval with its exact foundation dependencies.
New identity sequence
1. Palette
Render 2–3 exact palette options as deterministic HTML using preview payloads. Show PNG screenshots plus editable HTML files and wait. Persist the selected palette with approve_palette before logo generation.
2. SVG logo marks
Read logo prompt enhancer. Produce exactly three distinct symbol-only mechanisms and one Recraft prompt for each. Write each long prompt to a file and submit separately:
higgsfield generate create recraft_v4_1 \
--model_type vector \
--colors @"${BRANDKIT_WORKDIR}/logo-colors.json" \
--background_color '#F7F7F5' \
--aspect_ratio 1:1 \
--resolution 2k \
--wait --json < "${BRANDKIT_WORKDIR}/logo-candidate-1.txt"Use the returned SVG URLs directly for review. After selection, inspect the exact SVG without altering it:
python3 "$SKILL_ROOT/scripts/brandkit.py" logo-inspect \
--source "<selected Recraft SVG URL or absolute local path>"Persist the exact job ID, SVG URL, name, palette revision, and returned canonical geometry fingerprint with approve_logo.
3. Typography
Propose 2–3 unique display/body pairs using supplied fonts or verified Google Fonts. Render the real brand name and sample copy through the preview script. Persist only the selected pair with approve_typography.
Interactive flows always stop for palette, logo, and typography selections. Explicit no-question mode may choose and persist a palette, but it still shows all three SVG logo candidates and stops for the user's logo selection; exact brand marks are never self-approved.
Consistency invariants
Reuse the same approved logo source everywhere. Never redraw an official or selected SVG when deterministic placement/export is possible.
A generated logo depends on the palette revision used to create it. Changing that palette invalidates the generated logo and its dependents; changing typography does not invalidate the symbol mark.
Changing a foundation slot invalidates only downstream elements that list that slot in
required_slots.Copy the same Brand Lock values into every related generation prompt: exact hex, font roles, shape language, placement, clear space, composition, and forbidden treatments.
Use Recraft V4.1 vector mode only for new logo marks.
Use Seedream as the primary photoreal mockup generator. Use GPT Image 2 only for the controlled stage that adds readable text or exact graphic details.
Use local deterministic SVG/PPTX/HTML construction for exact copy and editable layouts. Do not ask an image model to fake editable files.
Do not promise native Figma, Canva, PSD, AI, or EPS files.
Deterministic scripts
Create JSON input files under "$BRANDKIT_WORKDIR"; never interpolate user text directly into shell arguments.
python3 "$SKILL_ROOT/scripts/brandkit.py" preview \
--input "$BRANDKIT_WORKDIR/reviews.json" \
--output-dir "$BRANDKIT_WORKDIR/reviews"
python3 "$SKILL_ROOT/scripts/brandkit.py" logo-export \
--input "$BRANDKIT_WORKDIR/logo-export.json" \
--output-dir "$BRANDKIT_WORKDIR/logo"
python3 "$SKILL_ROOT/scripts/brandkit.py" brandbook-build \
--state-file "$BRANDKIT_STATE" \
--input "$BRANDKIT_WORKDIR/brandbook.json" \
--output-dir "$BRANDKIT_WORKDIR/brandbook"For logo export, load logo export payloads. For Brandbooks, use the bundled builder only; never substitute an improvised PowerPoint or PDF generator after a deterministic contract failure.
Failure policy
Retry a failed Recraft or image-generation request once with the same locked concept and corrected contract. Stop after the second equivalent failure.
If preview or logo export fails twice, report the concrete error; never replace it with ad-hoc SVG rewriting.
If the Brandbook template, font, or conversion contract fails, stop immediately. Do not produce a visually different fallback and call it canonical.
If exact typography or official-logo fidelity cannot be preserved, disclose the limitation instead of claiming completion.
Never expose raw auth tokens or credentials in files, logs, or chat.
Delivery
For Brandbooks, follow the strict response contract in brandbook: PPTX link/path, PDF link/path, and font-install warning only.
For other outputs return:
The requested visual files and previews.
A compact Brand Lock summary.
Editable versus flattened format labels.
Required-font/import limitations.
Stable variant names for targeted revisions.
Reference index
Prerequisites — stage-specific local dependencies and install commands.
Intake — minimal questions and input routing.
Asset analysis — official/reference classification and measurement.
State routing and state payloads — persistent approvals.
Brand Lock — canonical visual constraints.
Design Brain — private art direction.
Concept boards, preview payloads, and inline reviews — selection stages.
Logo, logo prompt enhancer, and logo export payloads — SVG generation and deterministic variants.
Palette and typography — foundation slots.
Mockups, social graphics, posters/banners, packaging, signage, and merchandise — applications.
Presentation decks and Brandbooks — editable documents.
QA and iteration — preflight, repair, approval, and delivery manifest.
Files
- ATTRIBUTION.mdAdded by AutoGineer878 B
- LICENSELicence file added by AutoGineer1.0 KiB
- SKILL.md12.4 KiB
- agents/openai.yaml231 B
- references/asset-analysis.md7.5 KiB
- references/brand-lock.md6.1 KiB
- references/brandbook.md4.8 KiB
- references/brandkit-design-brain.md8.0 KiB
- references/concept-boards.md7.1 KiB
- references/handoff.md3.7 KiB
- references/inline-widgets.md2.7 KiB
- references/intake.md3.3 KiB
- references/logo-export-payloads.md709 B
- references/logo-prompt-enhancer.md9.5 KiB
- references/logo.md10.1 KiB
- references/merchandise.md1.0 KiB
- references/mockups.md10.9 KiB
- references/packaging.md1.3 KiB
- references/palette.md1.0 KiB
- references/posters-banners.md1.1 KiB
- references/prerequisites.md2.9 KiB
- references/presentation-deck.md1.6 KiB
- references/preview-payloads.md2.9 KiB
- references/qa-and-iteration.md6.8 KiB
- references/signage.md1001 B
- references/social-templates.md4.3 KiB
- references/state-payloads.md3.1 KiB
- references/typography.md4.3 KiB
- scripts/brandkit.pyScript54.8 KiB
- scripts/build_brandbook.pyScript36.9 KiB
- scripts/render_brandbook_pdf.pyScript5.2 KiB
references/logo.md
Logo system
Load this module only when the user asks to create, extend, document, or apply a logo. A request for other branded graphics does not authorize a redesign.
Route
Existing official logo
Use the supplied file as authoritative.
Analyze source geometry, variants, colors, clear space, and minimum-size guidance from source files/brandbook.
Record its exact local path, public URL, upload ID, or job ID in the Brand Lock. Upload it only when a Higgsfield generation stage requires that file.
Reuse or deterministically place the exact asset.
Generate only requested variants/applications.
Never ask an image model to redraw a logo merely to change its background, size, placement, or colorway. Use SVG/PPTX/image compositing when the source supports it.
Partial logo system
Examples: only a primary logo exists; no monochrome/reverse version, symbol, clear-space rule, or lockup.
Preserve the primary mark.
Propose only missing variants.
Derive variants from source geometry rather than inventing a second style.
Ask before separating a symbol from a wordmark if the source does not demonstrate that they may be used independently.
New logo
Run only when explicitly requested.
In an interactive new-identity flow, complete the palette review in
concept-boards.mdfirst. Require a user-selected and persisted palette before generating logo candidates. Color/style preferences from intake are not palette selection. Only explicit auto/no-question mode may select the palette internally; it must callapprove_paletteand receive a successful state response before generating logo candidates.Load
brandkit-design-brain.mdand runPROPOSE_LOGO_MECHANISMSwith the brief, references, visual axes, and selected palette.Require exactly three distinct symbol-only candidate specifications.
Apply
logo-prompt-enhancer.mdexactly once per candidate, building one complete structured candidate input per application.Run
higgsfield model get recraft_v4_1 --json, then submit the three enhanced prompts as three separatehiggsfield generate create recraft_v4_1 --model_type vector --wait --jsonrequests with exact hex arrays in--colorsand the selected--background_color.Use the three Recraft SVG result URLs directly. Do not pass them through the HTML preview script or any SVG normalizer/editor.
Show all three SVGs per the logo review in
inline-widgets.mdin every mode, including explicit auto/no-question mode; never return them only as bare URLs. Then send a normal message inviting the user to review and comment when interaction is allowed.When the user selects one SVG, run
logo-inspect --source <selected SVG URL or absolute path>. It validates the source and fingerprints the mark after ignoring a detected full-canvas Recraft background without modifying the approved SVG.Immediately save that exact asset and the returned
geometry_fingerprintwith the Brandkit state script'sapprove_logoaction. Continue to typography only when the original request requires text/type; a logo-only request does not.
Enhancer contract
For each of the three Design Brain mechanisms, assemble the complete structured candidate input defined in logo-prompt-enhancer.md:
{
brand_context: {
name,
offering,
industry,
positioning,
audience,
values
},
visual_axes: {
restrained_expressive,
geometric_organic,
familiar_experimental
},
candidate: {
mark_type,
central_idea,
visual_mechanism,
distinctive_element,
shape_logic,
treatment,
style_register,
user_style_directive,
composition
},
palette: {
count,
user_requested_more_than_three,
roles
},
reference_signals,
forbidden_elements
}Apply that reference's full contract to produce one enhanced prompt per candidate. Use only that enhanced prompt as the candidate's Recraft prompt. Never merge the three enhanced prompts into one request.
Exact hex colors never enter the enhanced prompt prose. Pass them directly in each Recraft request's colors and background_color params.
Set user_requested_more_than_three: true only when the user explicitly asks for a logo with more than three colors. Otherwise pass exactly the one, two, or three logo colors the concept requires, even if the broader brand palette contains more. Never add colors merely to reach three.
In explicit no-question mode, rank the three candidates privately but still show all three and stop for the user's logo selection. Never write approval state for an unselected brand mark.
Exactly three comparable SVG candidates
All three must:
Be true SVG outputs returned directly by Recraft V4.1 vector mode
Use the same aspect ratio, palette parameters, background, and generation quality
Belong to the selected draft palette and user-defined direction
Differ in mark construction, not presentation quality
Stay simple enough to reproduce faithfully with vector geometry
Express one visual concept only; never fuse two metaphors unless the user's own request explicitly described that exact fusion
Include one concrete distinctive silhouette, negative-space device, motif treatment, or unexpected locked color-role pairing
Preserve any explicit user-requested style in the candidate and enhanced prompt
Use one, two, or three logo colors as the concept requires; three is a maximum, not a default, unless the user explicitly requested more
Avoid generic swooshes, arbitrary initials, stock startup symbols, tiny details, gradients/effects unless concept-critical, and mockup scenes
Typography is selected afterward. Every enhancer prompt must include “no text” in its constraint tail. Monograms may contain only their explicitly requested initials.
If prompt enhancement or the Recraft call fails, retry once with the same candidate specification. If it fails again, stop and report the error. Never substitute GPT Image or select a winner for the user yourself.
During typography selection, the mark and wordmark must feel like one lockup:
Match stroke/weight and corner character
Balance mark height against cap/x-height
Use deliberate gap and optical alignment
Avoid a detailed/heavy mark beside a weak or unrelated wordmark
Never reproduce or cite a reference mark as the target.
Color revision and optional variant export
Logo approval requires only the selected color Recraft SVG. Monochrome/reverse variants are optional. Do not announce, prepare, generate, or save them unless the user explicitly requested them.
When logo files or a confirmed production method require export:
Load exact logo-export payloads, then keep the exact Recraft SVG as the geometry source.
Write
"$BRANDKIT_WORKDIR/logo-export.json", then runpython3 "$SKILL_ROOT/scripts/brandkit.py" logo-exportwithinclude_monochrome: falseby default. This creates only the approved color SVG and transparent 2048×2048 PNG.Set
include_monochrome: trueonly after an explicit request for monochrome/reverse files or when a user-confirmed output requires one-color production. Then setprimary_colorto the dominant approved source color.Pass
replacementsonly for a requested full-color revision.Do not call Recraft or GPT Image for a color-only change.
logo-inspect and logo-export use the same canonical fingerprint, so a removed full-canvas Recraft background cannot create a false geometry mismatch. The export script fingerprints every generated variant. Any geometry mismatch is a hard stop. Optional black/white variants are deterministic derivatives of the approved color SVG, not separate concepts or image-model recolors.
For a user-requested solid palette-color/one-color variant, pass that target hex once as single_color. The script recolors every actual SVG paint automatically and adds the SVG/transparent PNG pair. Never inspect source paints or construct per-fill replacements for a monochrome variant.
The script accepts Recraft hex, rgb(), and rgba() paint values and removes a detected full-canvas background. A failed color match reports the available source colors itself. If export still fails, stop and report the exact error. Never inspect or create copies with ad-hoc shell commands, grep, sed, regex scripts, or manual SVG rewriting.
Only when the user explicitly requests logo files, deliver the requested local SVG/PNG paths. Use the PNG as a later Higgsfield image reference; local image paths auto-upload during generation. Keep the SVG as the authoritative editable source.
System deliverables
Produce only requested items:
Primary horizontal lockup
Secondary/stacked lockup
Symbol/monogram
Wordmark
Small-size/favicon treatment
Clear-space diagram
Minimum-size guidance
Approved backgrounds
Incorrect-use examples
Clear space and minimum size
For an existing identity, copy official rules. If none exist, propose rules and mark them inferred:
Define a repeatable unit
xfrom a stable feature (symbol width, cap height, or dominant stroke), not an arbitrary pixel count.Apply
xconsistently around each lockup.Test at intended digital and print sizes.
Create a simplified small-size treatment only with user approval; do not silently remove details from the primary mark.
Editable output
Three original Recraft SVG candidates
Approved Recraft SVG source for the selected mark
Full-color SVG and 2048×2048 PNG exports
Black/white SVG and PNG variants only when explicitly requested or production-required
PPTX brand-guide pages when requested
SVG wordmarks remain editable text and require the approved font to be installed. Do not promise native AI/EPS/Figma/Canva/PSD.
Logo QA
Exact spelling and glyph order
No altered proportions or invented details
No unintended gradients, shadows, bevels, or effects
Correct palette and contrast
Black and white variants have the exact approved geometry and one solid color
Exactly three candidates generated with identical Recraft parameters
Selected mark and later wordmark treatment look optically complete together
Legible silhouette at small size
Clear-space and minimum-size examples match the actual asset
Every mockup/template uses the approved anchor, not a regenerated copy
Requirements and compatibility
Written for: Claude Code
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Declares allowed tools, Claude Code frontmatter, Needs network access, Needs Python
Security
What our scanner noticed· Medium risk
- Instructions that use the network
- Downloads piped into a shell
- Scripts that your agent may run
This skill includes scripts that your agent may run. Read them before you use it.
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Published by
- Higgsfield AI
- Publisher
- Higgsfield AI (Official)
- Source
- higgsfield-ai/skills · higgsfield-brandkit · commit 2700040
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by Higgsfield AI or Higgsfield AI.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download higgsfield-brandkit.zip