Novel Storyboard
eternityspring/shuohao-skills
给 AI 短剧出分镜:三层结构——段(一次视频生成,≤15 秒)→ 分镜(段内 2–5 秒的剪切,认领剧本节拍) → 分镜图(每切一张关键帧:主分镜图钉 0.00 秒,子分镜图钉各自切点)。
Pre-production story-and-character development for Higgsfield projects — the upstream layer that decides WHAT to prompt before any model runs.
$ npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-character-design -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-character-design --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-character-design .claude/skills/higgsfield-character-design && 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-character-design" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-character-design into .claude/skills/higgsfield-character-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-character-design", 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-character-designType 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-character-design -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-character-design --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-character-design .agents/skills/higgsfield-character-design && 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-character-design" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-character-design into .agents/skills/higgsfield-character-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-character-design", 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-character-design -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-character-design --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-character-design .cursor/skills/higgsfield-character-design && 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-character-design" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-character-design into .cursor/skills/higgsfield-character-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-character-design", 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-character-design--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-character-design -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-character-design --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-character-design .gemini/skills/higgsfield-character-design && 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-character-design" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-character-design into .gemini/skills/higgsfield-character-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-character-design", 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-character-designInstalls 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-character-design -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-character-design .github/skills/higgsfield-character-design && 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-character-design" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-character-design into .github/skills/higgsfield-character-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-character-design", 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-character-design -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-character-design --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-character-design .opencode/skills/higgsfield-character-design && 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-character-design" agent skill from https://github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skills/higgsfield-character-design into .opencode/skills/higgsfield-character-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-character-design", 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.
higgsfield-character-designPre-production story-and-character development for Higgsfield projects — the upstream layer that decides WHAT to prompt before any model runs.
Higgsfield Character Design is an agent skill from OSideMedia/higgsfield-ai-prompt-skill. Pre-production story-and-character development for Higgsfield projects — the upstream layer that decides WHAT to prompt before any model runs. Use when the user wants to build a character, design a world, develop a story or premise, create a character sheet / character bible / story bible, lock a visual style or 'visual DNA', plan a multi-shot narrative with consistent characters, or says things like 'help me design a character', 'build the world', 'I need a backstory', 'make this character consistent across…
Its SKILL.md is about 6.4k 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 Comics and storyboards and Creative writing and fiction. 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.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 7075497. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Higgsfield Character Design loads about 6.4k tokens when it runs. Until then it costs about 193 tokens; SKILL.md has 3,507 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.
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.
The full file from OSideMedia/higgsfield-ai-prompt-skill at commit 7075497, republished under its MIT licence (© OSideMedia). 3,507 words, ~6,435 tokens.
.claude/skills/higgsfield-character-design/SKILL.md (or your agent's skills folder).The rest of this skill library answers "how do I prompt this?" This skill answers the question upstream of it: "what am I prompting, and why this and not generic AI slop?" It is the pre-production layer — premise, world, character, story, and a locked visual style — that you build before writing a single generation prompt, then hand off to higgsfield-prompt and the model guides.
Attribution. The framework, worksheet structure, and the "world first" method are adapted from Higgsfield's official Character Design materials by @vavavinca. We reuse the schemas and method; all examples here are original. Credit Vinca when sharing.
Routing aids — read the linked sections for the actual method.
../../templates/character-design/ — hand them to the user or fill them together →../../templates/ad-asset-prep.md →higgsfield-prompt →A world is a system of constraints. Decide what the world will not let a character do, and you have decided who they have to become. So the order is not negotiable — each step locks an output the later steps depend on, and you don't loop back to relitigate it:
1. PREMISE one arguable sentence, no characters yet
2. WORLD six dimensions, filled before anyone is cast
3. CHARACTER 9 questions + a relationship web
4. STORY SPINE 10–20 beats, "therefore / but", never "and then"
5. STYLE SHEET palette + lighting + materials + a FORBIDDEN list (the Visual DNA)
6. HAND OFF feed the locked sheets into higgsfield-prompt + a modelThe failure mode this prevents is the common one: open Higgsfield → generate a cool image → realize there's no story or consistency → quit. Build the bible first; the image is the receipt, not the recipe.
If the user arrives mid-stream ("I already have a character"), don't force them back to step 1 — locate where they are, check the upstream outputs exist (a character with no world is the usual gap), and fill the missing layer.
One sentence, no character names. It states an arguable claim about people or the world, not a plot. Four fields, then a pressure test (worksheet: ../../templates/character-design/premise.md).
Pressure test (all five): compresses to ONE sentence (no "and", no semicolon) · contains NO character names · is arguable · has a real counter-argument · names a feeling, not just an event.
Fill all six before casting anyone (worksheet: ../../templates/character-design/world-sheet.md). Each answer must be specific and must not change when characters arrive.
| Dimension | The question it answers | Original example |
|---|---|---|
| Physical | Look, sound, smell, climate, geography, architecture | "A tide-city built on stilts; the streets flood twice a day and everyone owns a boat before they own shoes." |
| Social | Who has power, how it passes | "Status is measured in dry land. The few who own ground above the tideline never have to row." |
| Economic | Currency, what's scarce, what people kill for | "Fresh water is the real currency; salt ruins everything, so sealed jars are inheritance." |
| Ideological | What's sacred, shameful, unspoken | "Drowning is shameful — it means you didn't read the water. Nobody says a drowned name aloud." |
| Historical | What everyone remembers or has forgotten | "The Great Surge took the old capital a century ago; half the city pretends it's coming back." |
| Sensory | The daily textures the body knows | "Rope-burned palms, the green smell of low tide, lantern oil, the constant give of a floor that moves." |
Done check: read it aloud — does it sound like one world (no contradictions)? Is every answer specific? Will it stay true once characters walk in? Lock it. See also Hard vs soft worldbuilding for how knowable the rules should be.
The framework's flagship artifact (worksheet: ../../templates/character-design/9-question-character-sheet.md). Header: name, age, world, archetype. Then, in order — vague answers are the enemy; only this character should be able to give them:
Characters reveal themselves in friction, never alone (worksheet: ../../templates/character-design/character-web.md). Map four spokes around the hero — Opponent (the primary opposite), Ally (who they lean on), Mentor (who taught them), Foil (the variation that exposes them). Characters can move through roles over the story (a mentor who becomes an opponent is a person; one stuck in a single bubble is a function). Diagnostic: if you can take one spoke away and the hero says the same line in every scene, the web is too thin.
10–20 numbered beats (worksheet: ../../templates/character-design/story-spine.md). Beat format:
Beat N: [character] [does / discovers / loses] [thing]. Result: [the next problem].Connect beats with "therefore" or "but" — never "and then" (that's a list, not a story). Mark the Midpoint Turn: which beat flips the premise against the lead. Stop when the premise is proven — don't pad to hit 20.
Lock the look once, then inject it verbatim into every prompt (worksheet: ../../templates/character-design/style-sheet.md). Two ways to build it: (A) let the model draft it from the World Sheet (the worksheet carries a ready-to-paste prompt), or (B) fill it by hand. Six constants:
#1B3A4B, #6FA8A0, …). Inject the hex, don't describe colors in prose.The Forbidden List is the most valuable field — name what the world is NOT. It's often more useful than the palette and it's your strongest anti-slop lever:
NO generic flooded-city teal-and-orange. NO neon. NO pristine surfaces — everything is salt-scarred. NO clear blue sky. NO photoreal celebrity faces. NO pure-black shadows; use deep indigo instead.
This Visual DNA — hex palette + forbidden list — is what gets pasted into prompts to keep a series consistent. See higgsfield-soul (Soul HEX) and higgsfield-style for how the color lock is applied at generation time.
This skill produces inputs; it does not generate. When the bible is locked, route forward:
higgsfield-prompt (MCSLA structure). Inject the Visual DNA (hex + forbidden list) verbatim, and pull the subject from the character's Silhouette + Contradiction, the action from the relevant Story Spine beat.model-guide.md / image-models.md. For a character who recurs across many shots, train a Soul ID / Soul Cast identity (higgsfield-soul) rather than re-rolling one-offs; for a single hero image that won't reappear, a one-off generation is fine.higgsfield-cinema (Cinema Studio) for shot-by-shot continuity; the Story Spine beats become the shot list.[EMPIRICAL — Joey story-bible-builder skill (2026-08-16), re-derived 2026-08-22] A bible that lives in a
chat transcript gets re-explained every session, drifts a little each time it is retyped,
and is the reason "the same" character comes back subtly different a week later. Write it
out once as a single dense canon document and reuse the file — one artifact that every
later prompt reads from, rather than context reassembled from memory.
Two ways it gets used, and they want slightly different shapes:
Keep it in workspace/input/ so it is found the way every other supplied document is
(root ../../SKILL.md § Working Folders). For anything recurring, give each character a voice
lock and a movement lock — one line each, fixed wording, reused verbatim — so speech
register and physical signature stay pinned the way the Visual DNA pins the look. The locks
fix the words, not where they go: the movement lock is copied verbatim wherever that
movement can happen and transformed, not deleted, where it cannot
(../higgsfield-acting/SKILL.md § Scene adaptation, ../shared/house-rulings.md P3-4); the
voice lock goes into the audio field each time on Seedance 2.0 and into the role sentence on
2.5 — whether once per prompt or once per project is OPEN (../higgsfield-acting/SKILL.md
§ Voice, ../shared/house-rulings.md P2-2).
Build it by interview, not by questionnaire dump. Scope first (how big is this — one short, or a series?), then the spine (premise, thesis, timeline, aesthetic), then factions, locations and world rules, then characters, then relationships and ensemble dynamics, then the structural engines, then the production rules. Ask in that order and each answer constrains the next; ask everything at once and you get a pile of unrelated facts that contradict each other three sections later.
Only build the part that is needed. A single hero image does not need a faction table. Scope the interview to the work in front of you and leave the rest unbuilt — an unfinished bible is normal, an invented one is not.
[FIELD — AI-vs-VFX, 2026-08-08] The sections above decide what is on the sheet. These
are the construction laws for the sheet as an artifact — the flaws they prevent are the
ones you otherwise pay for in every downstream generation that references it.
Plain grey background, always. Not a set, not an environment, not a gradient. A sheet
built on a busy background makes the downstream model decide which pixels are the character
and which are the world, and that decision costs re-rolls. Grey is the credit-saver. Shade,
the one-hex-per-project rule and every source's reason: ../../templates/ad-asset-prep.md
§ Design for win rate (the canonical home).
Creature and non-human sheets carry two head close-ups: mouth open and mouth closed. A creature detailed enough to be interesting is detailed enough to glitch between expressions — a jaw that reshapes the skull when it opens. Two close-ups at the same angle, one closed and one in a full roar, pin both extremes. The canonical layout is three panels: full body, head closed, head open.
The face-lock crop. A three-panel human sheet gives the model three faces to average —
front full-body, back full-body, close-up — and at full-body scale the face is only a few
dozen pixels, so averaging drags identity toward generic. Crop the heads out of the
full-body panels. The full-body frames keep doing their real job (build, silhouette,
wardrobe); the close-up becomes the single source of truth for the face. (The Hell Grind
sheet removes only the front figure's head — both variants leave one readable face; the
canonical statement is ../../templates/ad-asset-prep.md § Design for win rate.)
Scale between two subjects — a landmark sentence, a size-ref asset, or both. Relative
size is the first thing to drift, and vague words do not fix it — "tiny compared to the
enormous creature" returns a different size every generation, and worst on wides. A true,
visible body landmark does hold: near-human props take a computed anchor sentence, and one
feature anchored a thirty-metre giant (about 16× a human) with a landmark sentence and the
human in frame (../higgsfield-seedance-2-5/VFX-PIPELINE.md § Stage 2,
../higgsfield-seedance/HELL-GRIND.md § Solutions born under deadline). An extreme ratio
no true landmark can express needs its own asset; where both are possible, stack the
landmark sentence and the size-ref (../shared/house-rulings.md P2-5). Build a size-ref
frame: merge the
two character sheets plus a frame whose scale was right into one image showing them
together, write the proportion in human-height comparisons ("wingspan as wide as twenty
humans lying head to toe"), save it as its own named asset, and attach it to every shot
containing both. Add the asymmetry lock — if scale is uncertain, render the smaller
subject smaller, never larger — because an undersized subject reads as distance while an
oversized one reads as fake.
Fix a flawed sheet; don't rebuild it. A warped logo or a colour cast on an otherwise
good sheet is a one-line edit on the model that holds inputs best (Nano Banana 2), not a
re-prompt: change the logo to the one in image two. Re-prompting re-rolls everything that
was already right. On the character's identity base, mask only the changed region back
onto the untouched original (../higgsfield-soul/SKILL.md § The Untouched Base,
../shared/house-rulings.md P2-3). Model routing per asset class: ../../image-models.md § Routing by
Asset Class.
[EMPIRICAL — community workflow] Adapted from a community casting-director system prompt. It works in the field; it is not a platform guarantee.
The bible tells you who the character is; the generated stills tell you they look right. Neither tells you how they move, speak, and react — and that is what every scene generation you are about to pay for depends on. So before spending on real scenes, run one cheap audition video and watch the character act. This is the same thesis as ../../templates/ad-asset-prep.md's generate-many → test-in-motion → lock-the-winner loop, applied to a person instead of a product: consistent-looking is not the same as castable.
Six steps, in order — the user chooses at step 5; never skip ahead to the final prompt:
../higgsfield-seedance/ENGINE-RULES.md rule 1 — describe by role, build and visible markers). Pull straight from the 9 questions — Silhouette and Contradiction do most of the work here.Divergence rule: if the user comes back and picks a different role type, rebuild the acting logic from scratch — new objective, new tactics, new beat pattern. A mentor read is not a villain read with softer adjectives; the same beats reworded is the audition-room version of slop.
quiet, transactional, barely controlled.../higgsfield-facs/SKILL.md — AU codes, not emotion labels.../higgsfield-soul/SKILL.md (Soul ID / Soul Cast) so every real scene starts from the version that can act — the lock-the-winner step of the ../../templates/ad-asset-prep.md loop.Three fast tests for killing slop, usable at any step:
How knowable should the world's rules be? Decide with three questions (worksheet note in world-sheet.md):
Hard worlds reward consistency in your prompts (repeat the same physical rules); soft worlds reward atmosphere over explanation. This choice changes how literal your World Sheet's Physical/Historical dimensions should be at generation time.
Fillable worksheets in ../../templates/character-design/ (hand them to the user or fill collaboratively):
| Worksheet | Step |
|---|---|
premise.md | 1 — theme + counter-argument + pressure test |
world-sheet.md | 2 — six dimensions + hard/soft check |
9-question-character-sheet.md | 3 — the flagship character schema |
character-web.md | 3 — Opponent / Ally / Mentor / Foil map |
story-spine.md | 4 — beats + midpoint turn |
style-sheet.md | 5 — Visual DNA + Forbidden List (+ AI-draft prompt) |
higgsfield-prompt — turns the locked sheet into an MCSLA generation prompt (the primary hand-off)higgsfield-soul — Soul ID / Soul Cast for recurring-character consistency; Soul HEX for the palette lockhiggsfield-cinema — Cinema Studio multi-shot sequences; Story Spine → shot listhiggsfield-style — applying the Visual DNA / forbidden list at generation timemodel-guide.md · image-models.md — picking the model for the character/scene© OSideMedia, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/higgsfield-character-design of OSideMedia/higgsfield-ai-prompt-skill.
Open the folder on GitHubat commit 7075497
Higgsfield Character Design 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 Character Design this skillOSideMedia/higgsfield-ai-prompt-skill | 713 | — | ~6.4k | Automated safety check: Pass | MIT | |
| Novel Storyboardeternityspring/shuohao-skills | 4.3k | — | ~1.8k | Automated safety check: Notes | Apache-2.0 | |
| Storyboard Managerailabs-393/ai-labs-claude-skills | 455 | 1 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Novel Storyboardsuihe1/short-drama-production | 181 | — | ~2.1k | Automated safety check: Notes | Apache-2.0 | |
| Adaptationdanjdewhurst/story-skills | 286 | 1 repos | ~3.5k | Automated safety check: Notes | MIT | |
| Film Crewguaardvark/guaardvark | 257 | — | ~727 | Automated safety check: Pass | MIT |
eternityspring/shuohao-skills
给 AI 短剧出分镜:三层结构——段(一次视频生成,≤15 秒)→ 分镜(段内 2–5 秒的剪切,认领剧本节拍) → 分镜图(每切一张关键帧:主分镜图钉 0.00 秒,子分镜图钉各自切点)。
ailabs-393/ai-labs-claude-skills
Assist writers with story planning, character development, plot structuring, chapter writing, timeline tracking, and consistency checking.
suihe1/short-drama-production
将剧本与导演意图转成生成段、逐镜时间、参考素材计划和可校验分镜报告;使用官方 h3-prompt-writing 编写 H3 提示词,可导出投产包。用于技术分镜、镜头表和分镜修订;生成视频须另有明确任务与成本授权,不负责最终选片或剪辑。
danjdewhurst/story-skills
This skill should be used when the user asks to "make an audiobook", "narration script", "narrator", "ACX", "Findaway", "pronunciation guide", "how long is the audiobook", "adapt to a screenplay"…
guaardvark/guaardvark
Run Guaardvark's five-role Film Crew locally: screenwriter, casting (Cast Library LoRAs), cinematographer storyboards, keyframe renders, editor.
Narcooo/inkos
Drives long-form fiction, scripts, storyboards, interactive films and long-document translation through InkOS, with every change made by a typed action.
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…
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…
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…
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…
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…
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.
Categories
Pre-production story-and-character development for Higgsfield projects — the upstream layer that decides WHAT to prompt before any model runs. Higgsfield Character Design is an agent skill from OSideMedia/higgsfield-ai-prompt-skill. Pre-production story-and-character development for Higgsfield projects — the upstream layer that decides WHAT to prompt before any model runs.
Higgsfield Character Design fits situations like: the user wants to build a character; develop a story; create a character sheet / character bible / story bible; lock a visual style.
Run `npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-character-design -a claude-code`. Or copy the skill folder (skills/higgsfield-character-design in OSideMedia/higgsfield-ai-prompt-skill) into .claude/skills/higgsfield-character-design in your project. Claude Code loads it when a task matches its description.
Run `npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-character-design -a codex`. Or copy the skill folder (skills/higgsfield-character-design in OSideMedia/higgsfield-ai-prompt-skill) into .agents/skills/higgsfield-character-design in your project. Codex loads it when a task matches its description.
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-character-design -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-character-design, .gemini/skills/higgsfield-character-design, .github/skills/higgsfield-character-design and .opencode/skills/higgsfield-character-design in your project.
SKILL.md names no scripts, command-line tools or credentials: Higgsfield Character Design is instructions for the agent only.
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.
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.
Higgsfield Character Design is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 6.4k tokens (SKILL.md is roughly 26k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Higgsfield Character Design: Novel Storyboard (eternityspring/shuohao-skills, 4.3k stars), Storyboard Manager (ailabs-393/ai-labs-claude-skills, 455 stars), Novel Storyboard (suihe1/short-drama-production, 181 stars) and Adaptation (danjdewhurst/story-skills, 286 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.