Video Generation
bytedance/deer-flow
Generates short videos from a structured JSON prompt, optionally guided by a reference image used as the first or last frame.
A skill your agent uses when the user asks about Moodboard, building a moodboard from reference images, curated moodboard presets, Soul Hex color transfer, applying a visual style direction to…
Install Higgsfield Moodboard
$ npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-moodboard -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-moodboard --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/OSideMedia/higgsfield-ai-prompt-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/higgsfield-moodboard .claude/skills/higgsfield-moodboard && 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 "higgsfield-moodboard" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-moodboard into .claude/skills/higgsfield-moodboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-moodboard", 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/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-moodboardType 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 OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-moodboard -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-moodboard --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/higgsfield-moodboard .agents/skills/higgsfield-moodboard && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "higgsfield-moodboard" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-moodboard into .agents/skills/higgsfield-moodboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-moodboard", 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 OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-moodboard -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-moodboard --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/higgsfield-moodboard .cursor/skills/higgsfield-moodboard && 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 "higgsfield-moodboard" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-moodboard into .cursor/skills/higgsfield-moodboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-moodboard", 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/OSideMedia/higgsfield-ai-prompt-skill.git --path skills/higgsfield-moodboard--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 OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-moodboard -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-moodboard --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/higgsfield-moodboard .gemini/skills/higgsfield-moodboard && 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 "higgsfield-moodboard" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-moodboard into .gemini/skills/higgsfield-moodboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-moodboard", 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 OSideMedia/higgsfield-ai-prompt-skill higgsfield-moodboardInstalls 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 OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-moodboard -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/higgsfield-moodboard .github/skills/higgsfield-moodboard && 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 "higgsfield-moodboard" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-moodboard into .github/skills/higgsfield-moodboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-moodboard", 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 OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-moodboard -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-moodboard --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/higgsfield-moodboard .opencode/skills/higgsfield-moodboard && 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 "higgsfield-moodboard" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-moodboard into .opencode/skills/higgsfield-moodboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-moodboard", 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
higgsfield-moodboard- GitHub stars
- 713
- Token cost
- ~2.3k tokens
- SKILL.md length
- 924 words
- Files
- 1
- Skills in repo
- 33
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when the user asks about Moodboard, building a moodboard from reference images, curated moodboard presets, Soul Hex color transfer, applying a visual style direction to…
- Works in 4 steps: Go to Moodboard tab → Select Curated → Click any preset → …
- The user asks about Moodboard
- SKILL.md covers What Moodboard Does, Curated Moodboard Presets, Building a Custom Moodboard and Soul Hex — Color Transfer, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Higgsfield Moodboard is an agent skill from OSideMedia/higgsfield-ai-prompt-skill. Use when the user asks about Moodboard, building a moodboard from reference images, curated moodboard presets, Soul Hex color transfer, applying a visual style direction to generations, or named moodboard styles like Y2K studio, Warm ambient, Theatrical light, Swag era, Flash editorial, Street photography, Asian nostalgia, Retro BW, Surreal solarization, etc.
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative, covering AI video generation. The repository describes itself as: Claude AI skill for cinematic Higgsfield AI prompts — 32 sub-skills covering Seedance 2.5 (omni-reference, video edit + extend) and 2.0, the Hell Grind feature-film pipeline, an… The licence is MIT.
When your agent uses it
- The user asks about Moodboard
- Building a moodboard from reference images
- Curated moodboard presets
- Soul Hex color transfer
Example prompts
- “/higgsfield-moodboard”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Go to Moodboard tab
- Select Curated
- Click any preset
- It becomes available in My Moodboards or applies directly to generation
What it can do on your machine
Read from SKILL.md and the folder at commit 7075497. 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
No scripts in the folder and no shell commands in SKILL.md.
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
Higgsfield Moodboard loads about 2.3k tokens when it runs. Until then it costs about 96 tokens; SKILL.md has 924 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from OSideMedia/higgsfield-ai-prompt-skill at commit 7075497, republished under its MIT licence (© OSideMedia). 924 words, ~2,343 tokens.
Download SKILL.mdSave it as
.claude/skills/higgsfield-moodboard/SKILL.md (or your agent's skills folder).- name
- higgsfield-moodboard
- description
- Use when the user asks about Moodboard, building a moodboard from reference images, curated moodboard presets, Soul Hex color transfer, applying a visual style direction to generations, or named moodboard styles like Y2K studio, Warm ambient, Theatrical light, Swag era, Flash editorial, Street photography, Asian nostalgia, Retro BW, Surreal solarization, etc.
- user-invocable
- true
- metadata.tags
- higgsfield, moodboard, style, reference, soul-hex, color, presets, Y2K, editorial
- metadata.version
- 3.1.0
- metadata.updated
- 2026-09-26
- metadata.parent
- higgsfield
Higgsfield Moodboard
What Moodboard Does
Moodboard translates a collection of visual references into a unified style direction that can be applied to any generation. Instead of describing a feeling in text and hoping the model interprets it correctly, you show the platform exactly what you want.
Location: Moodboard tab (marked "New" in nav) → higgsfield.ai/moodboard
Two tabs inside Moodboard:
- Curated — Higgsfield's own named preset moodboards, ready to use
- My Moodboards — your custom moodboards built from uploaded references
Curated Moodboard Presets
Named presets built by Higgsfield — apply any of these immediately without uploading reference images. Each represents a complete visual world.
| Preset | Visual Character | Best for |
|---|---|---|
| General | Neutral — no strong stylistic bias | Default when unsure, versatile |
| Warm ambient | Warm, soft, gently lit — cozy and lived-in | Lifestyle, home, intimate portrait |
| Y2K studio | Hypercolor studio backdrop, fairy wings, maximalist | Y2K aesthetic, fashion, fantasy editorial |
| Swag era | Early 2000s hip-hop and streetwear energy | Urban fashion, music culture content |
| Theatrical light | Dramatic stage lighting, strong contrast, silhouette | Artistic portrait, performance, dark editorial |
| Y2K street | Union Jack tees, street photography, 2000s pop culture | Street style, youth culture, nostalgia |
| Flash editorial | On-camera flash, oversaturated, candid — Cobrasnake era | Party, raw editorial, documentary fashion |
| Old smartphone | Low resolution, slightly washed, nostalgic phone camera | Authentic, lo-fi, personal content |
| Street photography | Urban candid, natural light, documentary | Street style, city life, authentic scenes |
| Asian nostalgia | Japanese/Korean city streetwear, warm neon, youth culture | Asian fashion, Tokyo/Seoul aesthetic |
| Retro BW | Black and white, classic tones, timeless | Artistic portrait, formal editorial, classic fashion |
| Surreal solarization | Otherworldly color shifts, solarization effect | Conceptual/avant-garde, fashion art |
How to apply a curated preset:
- Go to Moodboard tab
- Select Curated
- Click any preset
- It becomes available in My Moodboards or applies directly to generation
Building a Custom Moodboard
Upload Requirements
Recommended: 20+ photos, one cohesive style Avoid: Mixed styles, inconsistent quality
Two upload options in the Moodboard builder:
- Upload images — upload from your device
- Upload from assets — pull from your existing Higgsfield generations/assets
What "one cohesive style" means: All reference images should share the same visual world — similar lighting quality, color temperature, tone, and aesthetic. If half your references are dark and moody and half are bright and airy, the moodboard gets confused and produces a muddled output.
Good reference set (cohesive): Film stills from the same movie, a photographer's series, a curated Pinterest board with a single strong aesthetic, a fashion brand's lookbook.
Bad reference set (mixed): Random images from different genres, mixing a sunset photo with a dark studio portrait with a colorful illustration.
Building the Moodboard
- Click Build your moodboard ✦ (yellow button at top)
- Upload 20+ reference images via "Upload images" or "Upload from assets"
- Higgsfield analyzes the visual properties across all references
- Synthesizes dominant: colors, tonal values, lighting character, stylistic patterns
- Creates a named moodboard saved under My Moodboards
Applying to Generation
Once built, your moodboard appears in:
- Soul 2.0 → Moodboard selector in the prompt bar
- Any generation interface that supports moodboard input
The moodboard acts as a style layer applied on top of your text prompt — you describe the scene, the moodboard handles the look.
Soul Hex — Color Transfer
Soul Hex is Moodboard's dedicated color feature. It extracts and transfers the exact color signature from a reference image.
Location: Soul 2.0 prompt bar → Color Transfer button
Show full SKILL.md (375 more words)Show less
Named Color Palettes
Pre-built palettes available directly in Color Transfer:
| Palette | Visual Character |
|---|---|
| Film colors | Natural, organic, slightly desaturated film stock |
| Lime Jam | Cool greens, fresh tones, nature-adjacent |
| Candy pink | Warm pinks, peachy highlights |
| Nostalgic blue | Desaturated blues, faded, melancholic |
| Soft palette | Muted, airy, minimal contrast |
| Black gloss | High contrast, deep blacks, graphic |
Custom Color Reference Upload
- Click Upload & Create ✦ in the Soul Hex section
- Upload any reference image with the color world you want
- Soul Hex extracts the color palette automatically — shows hex swatches
- Apply to generations
Good color references to upload:
- Film still from a movie with the color grade you want
- Fashion editorial with a strong color world
- Your brand's visual assets to match brand colors
- Any image where the color palette is the dominant appeal
Moodboard + Soul ID: The Power Combination
| What it controls | Tool |
|---|---|
| Who — face and character consistency | Soul ID |
| Color world — palette and grade | Color Transfer / Soul Hex |
| Overall aesthetic — lighting, tone, visual language | Moodboard |
| Specific visual treatment — preset style | Soul 2.0 Style Preset |
Workflow for a consistent content series:
Step 1: Create Soul ID character (20+ photos, Character tab)
Step 2: Build Moodboard from style references (20+ cohesive images)
Step 3: Set Color Transfer palette (named or custom upload)
Step 4: Every generation uses:
→ Character slot: Soul ID active
→ Style: appropriate preset
→ Color Transfer: consistent palette
→ Moodboard: your custom moodboard active
Step 5: Only the scene description changes post to postPlatform constraint — preset vs reference image (Soul 2.0)
[OFFICIAL — platform CLI, 2026-09-26]:higgsfield model get text2image_soul_v2rejectsstyle_idcombined withimage_referencesand allows at most one image reference. The schema also has a separatecustom_reference_idparam that this rule does not mention. Which UI control maps to which param — Style preset →style_id? Soul ID character slot →custom_reference_idorimage_references? — is unverified. So this workflow's "Soul ID + preset" pairing is not known to break, while "preset + an uploaded reference image" is the pair the CLI forbids if the preset isstyle_id: if a generation rejects or ignores one of them, drop the preset or the uploaded reference rather than retrying the pair. Detail:../../image-models.md§ Soul 2.0.
Per-post prompt template (with all consistency tools active):
[Soul ID character] is [action] at [specific location].
[One unique visual detail for this post.]
Camera: [movement]. Aspect: 9:16.
[No style description needed — moodboard + preset handle it.]Moodboard as a Prompt Modifier
When you want to write the moodboard's style into the prompt directly (rather than using the UI), use this structure:
[MOODBOARD: Project Name]
Color palette: [2–3 dominant colors]
Tone: [warm/cool + emotional register]
Film look: [sensor/grain if applicable]
Lighting character: [quality of light]
Cultural reference: [specific aesthetic if using a curated preset]Example — Y2K Studio:
[MOODBOARD: Summer Campaign]
Color palette: electric blue backdrop, metallic silver, iridescent highlights
Tone: hyper-energized, maximalist, unserious
Film look: early 2000s digital — slightly blown highlights, vivid saturation
Lighting character: hard studio flash, colorful gels
Cultural reference: Y2K maximalism, early internet fashionExample — Theatrical Light:
[MOODBOARD: Dark Portrait Series]
Color palette: deep black, single amber key light, deep shadow fill
Tone: mysterious, composed, high-drama
Film look: medium format digital, razor-sharp
Lighting character: single hard source, theatrical — all else falls to black
Cultural reference: stage photography, Helmut Newton editorialRelated skills
higgsfield-soul— Soul ID character consistency (combine with Moodboard for full visual lock)higgsfield-style— Visual styles and color gradeshiggsfield-mixed-media— Artistic preset overlayshiggsfield-pipeline— Pipeline B uses Moodboard as a core stagetemplates/— Annotated genre templates demonstrating style direction
© OSideMedia, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/higgsfield-moodboard of OSideMedia/higgsfield-ai-prompt-skill.
Open the folder on GitHubat commit 7075497
Compare with similar skills
Higgsfield Moodboard 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 |
|---|---|---|---|---|---|---|
| Higgsfield Moodboard this skillOSideMedia/higgsfield-ai-prompt-skill | 713 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Video Generationbytedance/deer-flow | 84k | 3 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Video Cover Imageitwanger/toBeBetterJavaer | 18k | — | ~3.3k | Automated safety check: Pass | None | |
| Seedancesongguoxs/seedance-prompt-skill | 2.9k | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 60k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Lanshu Create AI Presenter Videocclank/lanshu-create-ai-presenter-video | 2.6k | — | ~3.6k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Higgsfield Moodboard
What does Higgsfield Moodboard do?
A skill your agent uses when the user asks about Moodboard, building a moodboard from reference images, curated moodboard presets, Soul Hex color transfer, applying a visual style direction to…. Higgsfield Moodboard is an agent skill from OSideMedia/higgsfield-ai-prompt-skill. Use when the user asks about Moodboard, building a moodboard from reference images, curated moodboard presets, Soul Hex color transfer, applying a visual style direction to generations, or named moodboard styles like Y2K studio, Warm ambient, Theatrical light, Swag era, Flash editorial, Street photography, Asian nostalgia, Retro BW, Surreal solarization, etc.
When should I use Higgsfield Moodboard?
Higgsfield Moodboard fits situations like: the user asks about Moodboard; building a moodboard from reference images; curated moodboard presets; soul Hex color transfer.
How do I install Higgsfield Moodboard in Claude Code?
Run `npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-moodboard -a claude-code`. Or copy the skill folder (skills/higgsfield-moodboard in OSideMedia/higgsfield-ai-prompt-skill) into .claude/skills/higgsfield-moodboard in your project. Claude Code loads it when a task matches its description.
How do I install Higgsfield Moodboard in Codex?
Run `npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-moodboard -a codex`. Or copy the skill folder (skills/higgsfield-moodboard in OSideMedia/higgsfield-ai-prompt-skill) into .agents/skills/higgsfield-moodboard in your project. Codex loads it when a task matches its description.
Can I use Higgsfield Moodboard 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 OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-moodboard -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/higgsfield-moodboard, .gemini/skills/higgsfield-moodboard, .github/skills/higgsfield-moodboard and .opencode/skills/higgsfield-moodboard in your project.
What does Higgsfield Moodboard need to run?
SKILL.md names no scripts, command-line tools or credentials: Higgsfield Moodboard is instructions for the agent only.
Does Higgsfield Moodboard 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 Higgsfield Moodboard 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. Review the folder before installing.
What licence does Higgsfield Moodboard use?
Higgsfield Moodboard 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 Higgsfield Moodboard use?
About 2.3k tokens (SKILL.md is roughly 9.4k 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 Higgsfield Moodboard?
Skills that share tags, products or a category with Higgsfield Moodboard: Video Generation (bytedance/deer-flow, 84k stars), Video Cover Image (itwanger/toBeBetterJavaer, 18k stars), Seedance (songguoxs/seedance-prompt-skill, 2.9k stars) and HyperFrames Video Entry Point (heygen-com/hyperframes, 60k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Higgsfield Moodboard?
OSideMedia (a GitHub user) maintains it in OSideMedia/higgsfield-ai-prompt-skill, which has 713 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on September 27, 2026.
Source: OSideMedia/higgsfield-ai-prompt-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.