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Higgsfield Product 360

skill-pixelab-ch-higgsfield-skills-09-product-360 · by pixelab-ch

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Install

$ agentstack add skill-pixelab-ch-higgsfield-skills-09-product-360

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Higgsfield Product-360 Skill

What this skill does

Crafts production-ready product showcase video prompts and routes them to the best Higgsfield model for 360° turntable and multi-angle output.

A product photo is always required. This is a mandatory image-to-video (I2V) skill: every generation needs a user-supplied product image uploaded and confirmed via the media branch before calling higgsfield:generate_video. The confirmed image is attached as start_image.

This skill also handles product hero stills and mood-board frames via the still-image path (see below).


Model routing

Primary and fallback video models

| | seedance20 (primary) | cinematicstudio3_0 (fallback) | |---|---|---| | Rationale | Widest I2V feature set: genre, mode, resolution controls; all aspect ratios | Dedicated cinematic pipeline; use when primary is unavailable | | Aspect ratios | auto, 21:9, 16:9, 4:3, 1:1, 3:4, 9:16 | 16:9, 9:16, 1:1 only | | Duration | 4–15 s (continuous) | 4–15 s (continuous) | | Tunable params | resolution {480p, 720p, 1080p}; mode {std, fast}; genre {auto, action, horror, comedy, noir, drama, epic} | None — pass only aspect_ratio and duration | | Media roles | image, start_image, end_image, video, audio | image, start_image, end_image |

Routing rule: Use seedance_2_0 by default. Fall back to cinematic_studio_3_0 only when (1) the primary is unavailable, or (2) the user explicitly wants the cinematic pipeline. Note that cinematic_studio_3_0 does not support 4:3 or 3:4 aspect ratios.

MODEL-06 directive: If a parameter is rejected at generation time, call higgsfield:models_explore with the target model name to re-verify the live schema. Full parameter tables: [references/model-specs.md](references/model-specs.md).

Per-platform aspect ratio

Quick rule: 9:16 for TikTok / Reels, 16:9 for YouTube / e-commerce, 1:1 for Instagram feed, 3:4 for portrait product packaging (seedance20 only). Full table in [references/model-specs.md](references/model-specs.md).


Still-image path (MODEL-05)

For a product hero still or mood-board frame before committing to video, route to seedream_v4_5 (primary) or soul_cinematic (alternate) via higgsfield:generate_image.

  • seedreamv45: quality {basic, high}; aspect_ratio {1:1, 4:3, 16:9, 3:2, 21:9,

3:4, 9:16, 2:3}; supports 4K output (this image model legitimately outputs 4K — this does not apply to any video model).

  • soul_cinematic: quality {1.5k, 2k}; optional soul_id for style consistency;

same wide aspect-ratio set.

After generating a still, the output image can be passed as the start_image input for the video path above. Full parameter tables: [references/model-specs.md](references/model-specs.md).


Prompt-building workflow

  1. Gather intent — Confirm: product category, target platform, aspect ratio, desired

duration, brand mood (luxury, tech, lifestyle).

  1. Select model — Apply the routing table above. Choose seedance_2_0 by default.
  1. Build the prompt — Use the craft references below:
  • Opening hook (2-second attention-capture technique): [references/hooks.md](references/hooks.md)
  • Camera angles, rotation patterns, and per-category lighting: [references/angles.md](references/angles.md)
  • Worked example prompts by product category: [references/examples.md](references/examples.md)
  1. Present for review — Show the assembled prompt and all parameters to the user for

review and refinement before any generation call.


Opt-in generation

Generation costs Higgsfield credits and requires explicit user confirmation before any generate call. This skill never auto-generates.

Full step-by-step flow (confirmation gate, balance/cost surface, generate → poll → display): [../../shared/generation-flow.md](../../shared/generation-flow.md)

This skill's primary model: seedance_2_0

Media upload — MANDATORY (GEN-04):

A product photo is always required for video generation. Before calling higgsfield:generate_video:

  1. Ask the user to provide their product photo.
  2. Upload it: run higgsfield:media_upload → returns a pending_id.
  3. Confirm it: run higgsfield:media_confirm → returns a confirmed_id.
  4. Attach it in input_files with role start_image:

``json [{ "id": "", "role": "start_image" }] ``

Never pass a pending_id directly to input_files — it will be rejected. See [../../shared/generation-flow.md](../../shared/generation-flow.md) Step 2b for the full atomic-pair detail.

Tool signatures: [../../shared/mcp-tools.md](../../shared/mcp-tools.md)


Reference materials

| File | Contents | |---|---| | [references/model-specs.md](references/model-specs.md) | Per-model parameter tables for seedance20, cinematicstudio30, seedreamv45, soulcinematic; per-platform recommendations; verification annotation | | [references/angles.md](references/angles.md) | Hero angle selection by category, rotation speed and patterns, dynamic camera movements, multi-image angle strategy (3–9 photos), per-category lighting guide, material showcase techniques | | [references/hooks.md](references/hooks.md) | 12 hook styles with prompt phrasing, category matching table, advanced hook-stacking guidance | | [references/examples.md](references/examples.md) | Master template, 5 worked product-360 prompts (watch, sneaker, earbuds, fragrance, car seat covers), common mistakes and fixes |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.