Agent skill

Higgsfield Style

by OSideMedia in OSideMedia/higgsfield-ai-prompt-skill

A skill your agent uses when the user asks about visual styles, aesthetics, color grades, film looks, or how to set the tone and atmosphere of a Higgsfield generation.

MITAuto-check passedMedia & Creative

Install Higgsfield Style

skills CLI
$ npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-style -a claude-code

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

GitHub CLI
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-style --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/OSideMedia/higgsfield-ai-prompt-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/higgsfield-style .claude/skills/higgsfield-style && 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/

Facts

Skill name
higgsfield-style
GitHub stars
713
Token cost
~3.9k tokens
SKILL.md length
1,781 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 visual styles, aesthetics, color grades, film looks, or how to set the tone and atmosphere of a Higgsfield generation.

  • The user asks about visual styles
  • SKILL.md covers Core Platform Styles, Color Grade Vocabulary, Lighting Vocabulary and Cinematic Lighting Techniques, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • How to set the tone and atmosphere of a Higgsfield generation

What it does

Higgsfield Style is an agent skill from OSideMedia/higgsfield-ai-prompt-skill. Use when the user asks about visual styles, aesthetics, color grades, film looks, or how to set the tone and atmosphere of a Higgsfield generation.

Its SKILL.md is about 3.9k 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 visual styles
  • How to set the tone and atmosphere of a Higgsfield generation

Example prompts

  • “/higgsfield-style”

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 Style loads about 3.9k tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 1,781 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~41
When it runs · the whole SKILL.md, loaded when a task matches
~3.9k

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). 1,781 words, ~3,872 tokens.

Download SKILL.mdSave it as .claude/skills/higgsfield-style/SKILL.md (or your agent's skills folder).
name
higgsfield-style
description
Use when the user asks about visual styles, aesthetics, color grades, film looks, or how to set the tone and atmosphere of a Higgsfield generation.
user-invocable
true
metadata.tags
higgsfield, style, VHS, cinematic, anamorphic, color, aesthetic
metadata.version
3.1.3
metadata.updated
2026-09-26
metadata.parent
higgsfield

Higgsfield Visual Styles

Core Platform Styles

These five styles are Higgsfield's named presets. Reference them by exact name.

Cinematic

Look: Polished, high-contrast, vivid colors, balanced exposure — modern blockbuster Best for: Drama, action, narrative films, commercials, any professional content Color tendency: Rich, saturated, clean Prompt phrase: "Style: Cinematic" Pair with: Kling 2.6/3.0, Dolly In, Arc, Crane Up

Example: A detective walks through a night market.
Style: Cinematic. Cold blue shadows, warm amber market stall light.
Shallow depth of field. 16:9.

VHS

Look: Retro videotape grain, color bleed, slight scanlines, analog imperfection Best for: 80s/90s nostalgia, horror, thriller, retro music videos, flashbacks Color tendency: Slightly washed out, warm yellows and reds, low contrast Prompt phrase: "Style: VHS" Pair with: Handheld camera, Wan 2.6 or Wan 2.5 (2.5 is not in the API catalog, 2026-09-26 — verify in the live UI), any horror preset

Example: Friends at a house party in 1987.
Style: VHS. Warm, grainy, slightly overexposed. 4:3 ratio.

Super 8MM

Look: Warm film grain, soft vignette, muted colors, home-movie feel Best for: Personal stories, romance, nostalgia, indie films, family moments Color tendency: Warm, golden, slightly faded Prompt phrase: "Style: Super 8MM" Pair with: Handheld, natural light descriptions, intimate scenes

Example: A couple dancing in a sunlit backyard in the 1970s.
Style: Super 8MM. Warm grain, soft vignette edges. 4:3.

Anamorphic

Look: Ultra-wide aspect ratio (2.35:1), horizontal lens flares, slight barrel distortion, epic scale — classic Hollywood widescreen Best for: Action, epic fantasy, war films, sweeping landscapes, high drama Color tendency: High contrast, deep blacks, rich highlights Prompt phrase: "Style: Anamorphic" or "Style: Anamorphic, 2.35:1 widescreen" Pair with: Crane Up, 360 Orbit, Super Dolly Out, Seedance 2.0 / Minimax Hailuo 2.3

Example: An army marches across a frozen plain at dawn.
Style: Anamorphic, 2.35:1. Deep blue-grey tones. Lens flare on the rising sun.

Abstract

Look: Non-representational, surreal color schemes, unconventional shapes, artistic Best for: Music videos, conceptual art, dream sequences, experimental content Color tendency: Vivid, unexpected, driven by concept not realism Prompt phrase: "Style: Abstract" Pair with: Wan 2.6 or Wan 2.5 (2.5 is not in the API catalog, 2026-09-26 — verify in the live UI), Portal, Multiverse, Glitch presets

Example: Fractured geometric shapes pulse to music in a void.
Style: Abstract. Electric blue and magenta on black. 1:1 ratio.

Color Grade Vocabulary

Use these in any prompt regardless of style preset:

MoodColor grade description
Cold thriller"Teal and orange, desaturated, high contrast"
Warm nostalgia"Golden hour amber, soft shadows, low contrast"
Cyberpunk"Neon magenta and cyan, deep shadows, HDR"
Horror"Sickly green-yellow, crushed blacks, desaturated"
Romance"Soft warm pink-gold, lifted shadows, dreamy"
Documentary"Neutral, natural light, no grade"
Epic fantasy"Rich jewel tones, deep shadows, volumetric light"
Noir"High contrast black and white, or near-monochrome"
Sci-fi cold"Ice blue and silver, stark white light"
Post-apocalyptic"Desaturated orange and brown, dust haze"

Lighting Vocabulary

TypeDescriptionBest for
Golden hourWarm directional light just after sunrise or before sunsetRomantic, epic, beautiful
OvercastSoft diffused light, no shadowsDocumentary, emotional, grounded
NeonColored artificial light from signs/screensCyberpunk, night scenes, urban
VolumetricLight rays visible through atmosphere (fog/dust)Fantasy, cinematic, atmospheric
Practical onlyAll light comes from sources visible in frame (lamps, fire, screens)Realism, noir, intimate
Side-litSingle strong light from one side creating deep shadowDrama, tension, portrait
BacklitSubject silhouetted or rimlit from behindMystery, romance, epic reveal
Low keyMostly dark with small pools of lightHorror, thriller, noir
High keyBright, even, minimal shadowsComedy, commercial, lifestyle

Cinematic Lighting Techniques

Specific lighting setups that AI models respond to well. Use these terms directly in your prompts for precise control over how light shapes the scene.

TechniqueEffectBest for
Rembrandt lightingTriangle of light on the shadowed cheek, one eye litPortrait drama, character intros, moody interviews
Butterfly / Paramount lightingOverhead light casting a shadow under the noseGlamour, fashion, beauty shots, classic Hollywood
Split lightingHalf the face lit, half in complete shadowDuality, inner conflict, villain reveals
Rim lighting / backlitEdge glow outlining the subject's silhouetteMystery, epic reveal, separation from background
Motivated lightingLight source visible or implied in the scene (lamp, window, fire)Realism, narrative grounding, naturalistic drama
Practical lightingIn-scene light sources (neon signs, candles, screens)Night scenes, cyberpunk, intimate realism
ChiaroscuroExtreme contrast between light and dark areasRenaissance feel, high drama, painterly compositions
High-keyBright, minimal shadows, even illuminationComedy, commercial, lifestyle, clean aesthetic
Low-keyDeep shadows dominate, small pools of lightNoir, thriller, horror, psychological tension
Golden hour / Magic hourWarm amber directional light, long soft shadowsRomance, beauty, epic landscapes, emotional beats
Blue hourCool steel-blue ambient light just after sunsetMelancholy, transition, quiet tension, urban solitude
Harsh midday sunHard overhead light, strong defined shadowsDesert, confrontation, exposed vulnerability
Overcast diffused / softboxEven soft light, no hard shadowsPortraits, documentary, grounded realism

Aspect Ratio Guide

RatioNameBest for
16:9WidescreenStandard video, YouTube, film
9:16VerticalTikTok, Instagram Reels, Shorts
2.35:1AnamorphicEpic cinema, maximum widescreen drama
1:1SquareInstagram posts, artistic
4:5PortraitInstagram feed, social portrait
4:3Classic TVRetro, VHS feel, vintage

Negative constraints: For texture/lighting artifacts (flickering textures, style ignored, over-lit output, color grade inconsistency) and their prevention phrases, see ../shared/negative-constraints.md — Texture/Lighting Artifacts section.


Style Best Practices (Cinema Studio 3.0 / Seedance 2.0)

These principles apply to Cinema Studio 3.0's generation engine (Business/Team plan only) and complement the style vocabulary above.

One Style Anchor Rule

ONE primary style anchor beats five adjectives. Beyond 2–3 style tokens, model attention dilutes and the output becomes generic.

Wrong: Style: cinematic, anamorphic, moody, atmospheric, dramatic lighting, film grain, desaturated, noir-inspired, high contrast, vintage feel

Right: Style: anamorphic, subtle grain, muted palette

Pick your anchor (the single most important style element), add 1–2 supporting tokens, stop.

"Cinematic" Does Nothing

Every generated video is "cinematic" by default. The word adds zero information. Replace it with a specific lens or contrast description:

  • "cinematic" → shallow depth of field, warm highlights, cool shadows
  • "cinematic look" → anamorphic, 2.35:1, horizontal lens flares
  • "cinematic quality" → 35mm film stock, natural grain, Kodak Portra palette
Style Transfer via @Reference

Visual style references beat descriptive text. One reference image/video carries more style information than 10 descriptor words:

Match the visual style, color grading, and film texture of @Video1.
A woman walks through autumn leaves in a park.
Camera: slow tracking alongside her.

Use style references for: color grading, film stock emulation, lighting mood, texture quality, era-specific looks.

CGI Material Contract

When prompting CGI or product renders, specify 2–4 material properties per surface to avoid the default "plastic sheen":

PropertyOptionsExample
Basemetal, glass, fabric, ceramic, wood, leatherbrushed stainless steel
Roughnessmatte, satin, glossy, mirrorsatin finish
Imperfectionscratches, dust, wear, fingerprints, patinafine scratches from use
Edgebeveled, sharp, rounded, chamferedsoft rounded edges

Example: A matte ceramic vase with hairline cracks and a subtle patina, soft rounded rim, resting on rough-hewn oak.

Period Control

Don't just name the decade — specify the materials and lighting of the era:

  • "1970s style" → Kodachrome warm tones, wood paneling, orange shag carpet, tungsten bulbs casting amber light
  • "1940s noir" → high-contrast black and white, Venetian blind shadows, fedora silhouettes, wet asphalt reflecting streetlamps
  • "1990s home video" → Hi8 camcorder grain, autofocus hunting, timestamp overlay, oversaturated greens

Show full SKILL.md (706 more words)Show less

Register Poles — the style dial has opposite ends

[FIELD — 13-project community harvest, 2026-07-18] — "photoreal cinematic" is not one register. Production projects sit at named poles of a dial, and the pole decides the whole camera grammar:

Register poleCamera grammarTexture stack
Film register (drama/romance features)Handheld breathing, off-level allowed, natural motion35mm grain, milky low contrast, gate weave, halation, "corners as bright as center"
Broadcast-TV register (early-2000s drama)Locked-off tripod, frontal compositions, held reaction beats, ONE camera move per shot maximumHeavy soft diffusion, blooming highlights, telecine grain, flat neutral daytime
Stop-motion / hand-animatedStepped motion — "true 12fps, animated on twos: each pose held two frames then snapping, never gliding" + constant painterly boilSplit-motion rule: atmosphere (snow, breath-vapor, smoke) moves SMOOTHLY while figures step on twos — an explicit constraint that fights the video model's default smoothness
Anime / celPer-shot named camera, fewer physics/skin blocks (the template contracts)"Cel-shaded 2D, clean flat fills, two-to-three value cel shading — not painterly, not 3D, no CGI smoothness"

The style-anchor slot swaps vocabulary by register. Same slot, different language: photoreal anchors on a DP/director look (short-form only — block prompts describe the look instead, per the seedance measurable-language rules) · anime anchors on an art era ("early 2000s retro anime, vintage cel proportions") · stop-motion anchors on medium physics ("12fps on twos, painterly boil"). Never carry one register's anchor into another.

One saturated accent color, reserved for the story. The corpus-wide color discipline: the plot-critical prop owns the only saturated accent in a muted grade (an acid-green device, a chartreuse remote LED) — and the same reservation works temporally ("golden hour is reserved for the twist"; everything before it stays flat neutral). State the reservation explicitly.


Style Recipes — eight proven shapes

[OFFICIAL — Higgsfield cinematic-prompt-builder skill, 2026-07] — starting recipes, each a distinct render contract. Combine and deviate freely; the load-bearing part of each is the is / is-NOT declaration and the shots-per-15s shape:

RecipeLook declarationStructure + signatureAudio
Live-action epic8K photoreal, anamorphic, fine grain — "photoreal, NOT 3D/game"Oner or multishot; one "hook" event triggers one held slow-mo beat, then snaps back; scale contrast (tiny figures vs vast subject)Diegetic; slow-mo drops to muffled vacuum + heartbeat, snaps back with a whoosh
3D animated featureVibrant glossy CGI, Pixar-quality stylized, subsurface fur/skin6 shots / 15s montage — "don't use one camera angle"; per-shot spoken lines with delivery described; land a visual gagLight score allowed; often still SFX-forward
Game cutsceneUE5 real-time in-engine render — "hyperreal but unmistakably GAME-rendered, NOT film"3 shots / 15s, hard cuts; screen-pinned HUD in a locked accent hex, every element enumerated with exact text — HUD never parallaxesNo music; SFX + subtle UI ticks
Gameplay footageAAA arcade (racing) — hyper-saturated engine render, "in-game, NOT a film plate"Rock-steady chase-cam locked to vehicle, NO slow-mo anywhere, live HUD (RPM, boost, minimap)Engine, gears, boost, tyre screech, UI beeps
FPV / POV onerOne unbroken take, photoreal macro, anamorphicBeats by timestamp in one paragraph; one named speed ramp (240fps bullet-time beat → snap to 24fps); macro brushes against surfacesSlow-mo swaps ambience for amplified rhythmic sound
Product / commercial8K editorial, deep black crush, per-section color worlds8–10 short sections, hard match-cuts on action; rapid 0.3s macro montage; resolves on a hero packshot (product in one third, dark negative space, slow dolly, particle drift, hold)No music/VO/text — product-handling SFX only
VFX composite (on a source clip)Photoreal practical-FX realism; composition + grade INHERITED from the sourceINPUT LOCK: plate preserved unchanged, camera inherited exactly; only additions = new element + its light + contact shadows; parallax-locked to an anchor planeNew element's diegetic sounds over preserved room tone
Kaiju / creature8K photoreal anamorphic, ORIGINAL design ("not based on any franchise")~6 cuts, per-cut OPTICS; the detail that opens CUT 1 is the one CUT 2 zooms into; containment rule ("stays at the sea surface, never airborne") grounds physics and scaleDiegetic only — rumble, roars, water-burst, subsonic boom

Full engine-side counterparts: the HUD recipe and INPUT LOCK live with worked patterns in ../higgsfield-seedance/SKILL.md and ../higgsfield-seedance-vfx/SKILL.md; the containment rule doubles as the build-safe construction law (../higgsfield-seedance/SKILL.md § Build-safe construction).


  • higgsfield-camera — Camera controls to pair with styles
  • higgsfield-mixed-media — Artistic style overlays (non-photorealistic)
  • higgsfield-moodboard — Moodboard + Soul Hex for project-level style locking
  • higgsfield-cinema — Cinema Studio built-in color grading suite
  • templates/ — Annotated genre-specific prompt templates with style examples

© 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-style of OSideMedia/higgsfield-ai-prompt-skill.

Open the folder on GitHubat commit 7075497

Compare with similar skills

Higgsfield Style 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.

Higgsfield Style compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Higgsfield Style this skillOSideMedia/higgsfield-ai-prompt-skill713—~3.9kAutomated safety check: PassMIT
Video Generationbytedance/deer-flow84k3 repos~1.4kAutomated safety check: PassMIT
Video Cover Imageitwanger/toBeBetterJavaer18k—~3.3kAutomated safety check: PassNone
Seedancesongguoxs/seedance-prompt-skill2.9k1 repos~2.5kAutomated safety check: PassNone
HyperFrames Video Entry Pointheygen-com/hyperframes60k3 repos~5.2kAutomated safety check: PassApache-2.0
Lanshu Create AI Presenter Videocclank/lanshu-create-ai-presenter-video2.6k—~3.6kAutomated safety check: PassMIT

Similar skills

  • 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.

    84k GitHub starsUsed in 3 repos~1.4k tokens
    Media & CreativeAuto-check passed
  • Video Cover Image

    itwanger/toBeBetterJavaer

    Generate matched 3:4, 16:9, and 4:3 short-video cover images from toBeBetterJavaer video scripts or AI/Java technical topics.

    18k GitHub stars~3.3k tokensUpdated today
    Media & CreativeAuto-check passed
  • Seedance

    songguoxs/seedance-prompt-skill

    This skill should be used when the user asks to "generate video prompts", "create Seedance prompts", "write video descriptions", mentions "Seedance", "seedance", "即梦", "即梦平台", "视频提示词", "视频生成"…

    2.9k GitHub starsUsed in 1 repo~2.5k tokens
    Media & CreativeAuto-check passed
  • HyperFrames Video Entry Point

    heygen-com/hyperframes

    Entry point for making, editing and rendering videos from HTML compositions with HyperFrames, routing each request to the right workflow.

    60k GitHub starsUsed in 3 repos~5.2k tokens
    Media & CreativeAuto-check passed
  • Lanshu Create AI Presenter Video

    cclank/lanshu-create-ai-presenter-video

    Turn a topic or finished script into a complete, publish-ready explainer video — led by an AI presenter from an authorized adult presenter image, or performed in one of nine visual explainer styles…

    2.6k GitHub stars~3.6k tokensUpdated 4 days ago
    Media & CreativeAuto-check passed
  • Video Shots

    eternityspring/reelbench-skills

    拉片:把一条成片拆成逐镜头的分析表——每个镜头的时长、景别、类别、运镜、画面. An agent skill from eternityspring/reelbench-skills.

    878 GitHub starsUsed in 1 repo~1.8k tokens
    Media & CreativeAuto-check: notes

More from OSideMedia/higgsfield-ai-prompt-skill

All 33 skills in this repo
  • Higgsfield

    OSideMedia/higgsfield-ai-prompt-skill

    A skill your agent uses whenever the user asks anything about Higgsfield AI — writing or refining video/image prompts, choosing a model (Kling, Veo, Wan, Seedance, Minimax Hailuo, DoP, Soul, Nano…

    713 GitHub stars~9.1k tokensUpdated 13 days ago
    Auto-check passed
  • Higgsfield Assist

    OSideMedia/higgsfield-ai-prompt-skill

    A skill your agent uses when the user asks about Higgsfield Assist (the built-in GPT-5 copilot), how to use the platform's native AI assistant, credit optimization strategies, plan selection, how to…

    713 GitHub stars~2.9k tokensUpdated 13 days ago
    Auto-check passed
  • Higgsfield Image Shots

    OSideMedia/higgsfield-ai-prompt-skill

    A skill your agent uses when the user wants to generate a cinematic still image on Higgsfield, asks about shot framing, camera angle, or composition for image prompts, needs a specific shot type…

    713 GitHub stars~5.1k tokensUpdated 13 days ago
    Auto-check passed
  • Higgsfield Mixed Media

    OSideMedia/higgsfield-ai-prompt-skill

    A skill your agent uses when the user asks about Mixed Media, wants to apply artistic preset styles to an image (Noir, Sketch, Paper, Canvas, Particles, Neon, etc.), combine multiple artistic…

    713 GitHub stars~2.3k tokensUpdated 13 days ago
    Auto-check passed
  • Higgsfield Moodboard

    OSideMedia/higgsfield-ai-prompt-skill

    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…

    713 GitHub stars~2.3k tokensUpdated 13 days ago
    Auto-check passed
  • Higgsfield Motion

    OSideMedia/higgsfield-ai-prompt-skill

    A skill your agent uses when the user wants to apply a named Higgsfield motion preset, asks about VFX presets, transformation effects, elemental effects, or transition presets.

    713 GitHub stars~5k tokensUpdated 13 days ago
    Auto-check passed

Questions about Higgsfield Style

What does Higgsfield Style do?

A skill your agent uses when the user asks about visual styles, aesthetics, color grades, film looks, or how to set the tone and atmosphere of a Higgsfield generation. Higgsfield Style is an agent skill from OSideMedia/higgsfield-ai-prompt-skill. Use when the user asks about visual styles, aesthetics, color grades, film looks, or how to set the tone and atmosphere of a Higgsfield generation.

When should I use Higgsfield Style?

Higgsfield Style fits situations like: the user asks about visual styles; how to set the tone and atmosphere of a Higgsfield generation.

How do I install Higgsfield Style in Claude Code?

Run `npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-style -a claude-code`. Or copy the skill folder (skills/higgsfield-style in OSideMedia/higgsfield-ai-prompt-skill) into .claude/skills/higgsfield-style in your project. Claude Code loads it when a task matches its description.

How do I install Higgsfield Style in Codex?

Run `npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-style -a codex`. Or copy the skill folder (skills/higgsfield-style in OSideMedia/higgsfield-ai-prompt-skill) into .agents/skills/higgsfield-style in your project. Codex loads it when a task matches its description.

Can I use Higgsfield Style 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-style -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-style, .gemini/skills/higgsfield-style, .github/skills/higgsfield-style and .opencode/skills/higgsfield-style in your project.

What does Higgsfield Style need to run?

SKILL.md names no scripts, command-line tools or credentials: Higgsfield Style is instructions for the agent only.

Does Higgsfield Style 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 Style 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 Style use?

Higgsfield Style 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 Style use?

About 3.9k tokens (SKILL.md is roughly 15k 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 Style?

Skills that share tags, products or a category with Higgsfield Style: 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 Style?

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.