Install
$ agentstack add skill-pixelab-ch-higgsfield-skills-05-fight-scenes ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
About
Higgsfield Fight Scenes Skill
What this skill does
Crafts production-ready fight scene and action sequence video prompts and routes them to the best Higgsfield model for cinematic combat output. On request, it assembles the full parameter set, surfaces the credit cost, and — after explicit user confirmation — generates the asset via the opt-in generation flow.
This skill masters translating explosive action choreography into vivid video prompts with cinematic precision, visceral impact, and rhythm that feels both dynamic and purposeful. It covers unarmed combat (15+ martial arts disciplines), weapon combat, fantasy/elemental fights, superhero battles, chase sequences, and multi-combatant coordination.
Model routing
Primary and fallback video models
| | cinematicstudio30 (primary) | kling30 (fallback) | |---|---|---| | Rationale | Dedicated cinematic pipeline; default for all fight scenes and action video | Use only when primary is unavailable, or user wants mode / sound control | | Aspect ratios | 16:9, 9:16, 1:1 | 16:9, 9:16, 1:1 | | Duration | 4–15 s (continuous range) | 3–15 s (continuous range; minimum is 3 s) | | Tunable params | None — pass only aspect_ratio and duration | mode {std, pro, 4k}; sound {on, off} | | Media roles | image, start_image, end_image | start_image, end_image only |
Important note on kling3_0 mode: 4k: The 4k option is a mode enum (a generation pipeline variant), NOT a claim about 4K output-file resolution. No video model in this skill outputs 4K files. Max resolution for fight-scene video generation is determined by the model's internal pipeline, not by the mode value.
Routing rule: Use cinematic_studio_3_0 by default. Only fall back to kling3_0 when (1) the primary model is unavailable, or (2) the user explicitly accepts kling3_0's constraints after being told what they give up: no image media role (only start_image/end_image), and a different cinematic pipeline aesthetic. Gains: mode control (std/pro/4k generation variant) and sound option. If the user has not been informed of these trade-offs, stay on cinematic_studio_3_0 and let them decide — never switch silently.
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 quick rule
Vertical 9:16 for TikTok / Reels / Shorts (hook in 2 s); 16:9 for YouTube and LinkedIn; 1:1 for Instagram feed (keep combatants center-weighted). Full per-platform table: [references/model-specs.md](references/model-specs.md).
Prompt-building workflow
- Gather intent — Confirm with the user: combat style (martial art, weapon type,
fantasy, superhero), setting/environment, tone (gritty, stylized, anime, cinematic), combatant descriptions, target platform, aspect ratio, and desired duration.
- Select model — Apply the routing table above. Choose
cinematic_studio_3_0by
default; select kling3_0 only when a routing trigger applies.
- Build the prompt — Use the craft principles in the references below:
- Opening hook (2-second action attention-capture technique) from
[references/hooks.md](references/hooks.md)
- Choreography language, combat style, camera work, impact effects, environments from
[references/choreography.md](references/choreography.md)
- Master template and worked fight-scene prompts from
[references/examples.md](references/examples.md)
- Present for review — Show the assembled prompt and all parameters to the user for
review and refinement before any generation call. The user must approve the prompt text, model, aspect ratio, and duration.
Opt-in generation
Generation costs Higgsfield credits and requires explicit user confirmation before any generate call is made. 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: cinematic_studio_3_0
Media upload: Conditional — only when the user supplies a start_image or end_image reference. This skill is NOT a mandatory-I2V skill; T2V is the default path. When the user provides a reference image, run the higgsfield:media_upload → higgsfield:media_confirm atomic pair before generating.
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, aspect ratios, durations, routing rationale, re-verify directive, and kling3_0 mode:4k clarification for cinematicstudio30 and kling30 | | [references/choreography.md](references/choreography.md) | Choreography philosophy, 15+ combat style encyclopedia (unarmed, weapon, fantasy), 30+ choreography keywords, 20+ camera techniques, impact effects encyclopedia, environment and arena guide, multi-character coordination patterns | | [references/hooks.md](references/hooks.md) | 2-second hook framework with 10+ fight-scene hook techniques, prompt integration templates, hook pairing guide by fight type, and hook escalation principle | | [references/examples.md](references/examples.md) | Master prompt template, 5 full production-quality fight-scene prompts (martial arts rain duel, fantasy sword/magic, chase-to-street-fight, anime superhero battle, samurai sunset duel), common-mistakes fix table |
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: pixelab-ch
- Source: pixelab-ch/higgsfield-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.