higgsfield-stack

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Use when the user mentions the Higgsfield CLI (binaries `higgsfield` / `higgs` / `hf`, `higgsfield auth login`, `higgsfield generate create`, the `@higgsfield/cli` npm package), the Higgsfield MCP custom connector (`mcp.higgsfield.ai/mcp`), Higgsfield's bundled skills (`higgsfield-generate` / `higgsfield-soul` / `higgsfield-product-photoshoot` invoked as `/higgsfield:generate` etc.), or asks how this skill coexists with those tools (`do I need both`, `how does this work with the CLI/MCP/skills`).

AI & Automation 224 stars 47 forks Updated today MIT

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Skill Content

# Higgsfield Stack — Coexistence With Official Tooling ## What this sub-skill is for "The Higgsfield stack" means Higgsfield's own official execution tooling: their command-line interface (CLI), their custom MCP connector for claude.ai and the Claude desktop app, and their three bundled skills (`higgsfield-generate`, `higgsfield-soul`, `higgsfield-product-photoshoot`). Any one of those tools — or any combination — may be present in the user's environment alongside this prompt skill. This sub-skill documents how the two surfaces coexist, what each one owns, and how a clean handoff looks. The core principle is a layer split. This skill is the prompt-construction + production-discipline layer: MCSLA structure, named platform vocabulary, model selection criteria, Seedance preflight, Cinema Studio depth, Soul Character Anchor Block, Two-Tool Refinement Pipeline guidance, anti-bombast register, shared negative constraints. Their stack is the execution layer: authentication, file uploads, job submission, polling, retries, returning a result URL. Different jobs, no overlap. Our skill never invokes their CLI; their stack never invents prompt logic. The user gets one prompt from us and one execution path from them. --- ## The three official surfaces | Surface | What it is | Detection signals | Best fit | |---|---|---|---| | **Higgsfield CLI** | Binary distributed at https://github.com/higgsfield-ai/cli. Binary names: `higgsfield`, `higgs`, `hf`. Install via `curl -fsSL https://ra...

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Author
OSideMedia
Repository
OSideMedia/higgsfield-ai-prompt-skill
Created
4 months ago
Last Updated
today
Language
Python
License
MIT

Integrates with

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