OSideMedia/higgsfield-ai-prompt-skill — Claude AI skill for cinematic Higgsfield AI prompts — 20 sub-skills covering Cinema Studio 2.5/3.0/3…

Description and use

**Brief Summary (2‑3 sentences)**
OSideMedia’s **higgsfield‑ai‑prompt‑skill** is a Claude‑compatible skill that supplies a library of 20 sub‑skills and 17 ready‑made cinematic prompt templates for the Higgsfield AI pipeline (Cinema Studio 2.5‑3.5, MCSLA, Seedance 2.0, Kling 3.0, etc.). It streamlines the creation of consistent, high‑quality prompts—handling character‑ID continuity, motion‑control cues, element‑based composition, and the DISCIPLINE production framework—so developers can add sophisticated AI‑driven media generation without building a prompt system from scratch.

**Value**

• **Accelerated prototyping:** Plug‑and‑play sub‑skills let teams prototype narrative‑media features in hours rather than weeks.
• **Consistency & quality:** Built‑in Soul ID tracking, seed‑based modes, and production benchmarks enforce repeatable results across runs.
• **Reusable assets:** The 17 templates (three categories) and the Elements system serve as a reusable prompt library for any downstream RAG or agent workflow.

**Practical Adoption Path**

1. **Clone / install** the Python package (pip install higgsfield‑ai‑prompt‑skill) and configure the Claude API key.
2. **Select a sub‑skill** (e.g., cinema_studio_3_0 or seedance_2_0) via the provided SDK or CLI and feed it your domain data (script fragments, character bios, etc.).
3. **Generate prompts** using the high‑level generate_prompt() call; iterate with the built‑in benchmark utilities to tune quality.
4. **Integrate** the generated prompts into your existing RAG, agent, or media‑generation pipeline (e.g., feeding them to a diffusion model or a video‑synthesis service).

**Production Readiness**

• **Activity & adoption:** 170 ★, 35 forks, recent commits (last updated 2026‑06‑27), and a well‑documented Python API indicate a healthy open‑source project.
• **Ecosystem fit:** Exposes clear API/CLI hooks, language metadata, and topic tags, making it straightforward to embed in CI/CD or micro‑service architectures.
• **Risk profile:** No glaring licensing or security flags, though a final review of the license and maintainer responsiveness is advisable before a full‑scale rollout. Overall, the skill is mature enough for a serious pilot in production environments.

Problem

OSideMedia/higgsfield-ai-prompt-skill helps add AI capability without starting from a blank model stack.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Evidence

Claude AI skill for cinematic Higgsfield AI prompts — 20 sub-skills covering Cinema Studio 2.5/3.0/3.5, MCSLA formula, Soul ID character consistency, Seedance 2.0 prompt modes, Kling 3.0 Motion Control, Elements system, DISCIPLINE framework, production benchmarks, and 17 templates across 3 categories.

Source