Builds and preserves consistent character designs using genmedia: reference sheets, expression sheets, outfit variations, identity-preserving edits, and character-to-video workflows.
How this skill is triggered — by the user, by Claude, or both
Slash command
/fal-ai-community-skills:character-designThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Use this skill when the user wants to create, refine, or preserve a character.
Use this skill when the user wants to create, refine, or preserve a character. Load the reference files when needed:
references/anchor-system.mdreferences/prompt-patterns.mdreferences/examples.mdLoad model-routing alongside this skill for default endpoint choices.
The main objective is consistency. Keep the character anchor stable and change only the requested scene, expression, outfit, camera, or action.
Only ask for missing inputs that affect identity or model routing.
model-routing defaults unless the user names a model
or the job needs a quality/cost tradeoff decision.Start from routed endpoint IDs.
genmedia models --endpoint_id openai/gpt-image-2 --json
genmedia models --endpoint_id fal-ai/nano-banana-pro/edit --json
genmedia models --endpoint_id bytedance/seedance-2.0/image-to-video --json
genmedia models --endpoint_id veed/fabric-1.0 --json
Use text search only as fallback discovery for an unsupported role:
genmedia docs "consistent character generation" --json
genmedia models "image editing character consistency" --json
Inspect schema before each endpoint run.
genmedia schema <endpoint_id> --json
genmedia pricing <endpoint_id> --json
Upload references.
genmedia upload ./character-reference.png --json
genmedia upload ./costume-reference.png --json
Run stills or sheets with download.
genmedia run <endpoint_id> \
--prompt "<anchor + variable prompt>" \
--image_url "<reference url if supported>" \
--download "./outputs/characters/{request_id}_{index}.{ext}" \
--json
Run video async.
genmedia run <endpoint_id> \
--prompt "<anchor + shot action>" \
--image_url "<approved character frame if supported>" \
--async \
--json
genmedia status <endpoint_id> <request_id> \
--download "./outputs/characters/{request_id}_{index}.{ext}" \
--json
Use only schema-supported fields. If the model supports seed, reference image, image strength, multiple image inputs, or negative prompt, use them deliberately and record what was used.
Create a short immutable anchor before generating.
CHARACTER ANCHOR:
[name or codename], [age range], [face shape], [eye shape and color],
[nose and lips], [skin tone and distinguishing marks], [hair color, texture,
style], [body build and posture], [signature clothing or silhouette],
[style target]
Then add a variable block for the current shot.
SHOT VARIABLE:
[expression], [pose/action], [outfit changes if allowed], [environment],
[camera/framing], [lighting], [mood]
Never rewrite the anchor casually. If a result changes identity, strengthen the anchor or switch to a reference/edit workflow instead of adding more style words.
openai/gpt-image-2.fal-ai/nano-banana-pro or
fal-ai/nano-banana-2.fal-ai/flux-2/klein/9b.openai/gpt-image-2 first;
if editing an existing image, inspect openai/gpt-image-2/edit.fal-ai/nano-banana-pro/edit,
then openai/gpt-image-2/edit, then
fal-ai/bytedance/seedream/v5/lite/edit.bytedance/seedance-2.0/image-to-video for final quality.xai/grok-imagine-video/image-to-video.veed/fabric-1.0,
veed/fabric-1.0/text, or fal-ai/creatify/aurora.Reject or retry when:
Return downloaded paths and include the anchor used so future prompts can reuse the same identity.
npx claudepluginhub fal-ai-community/skillsScans a codebase for architectural friction, presents candidates as a visual HTML report with before/after diagrams, and guides you through deepening refactors.