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Official three-skill methods, without platform operation

v1.7 learns from the official higgsfield-generate, higgsfield-soul-id, and higgsfield-product-photoshoot skills while preserving the project's existing delivery boundary. The Skill still produces local assets, manifests, prompts, review boards, edit/audio plans, and a portable offline package. It does not install a CLI, authenticate, upload, train, generate, poll, or spend credits.

What was adopted

  • Intent-first routing for image, video, audio, analysis, commercial, and product-photography tasks.
  • One explicit responsibility for every reference in deterministic order.
  • Short visible-fact model prompts, with QA and reconstruction evidence kept in sidecar JSON.
  • Soul source-photo quantity, variety, quality, rights, and consent checks.
  • Product truth locking and ten purpose-led Product Photoshoot modes.
  • Separate audio work orders tied to picture timing, edit rhythm, and mix role.

What was not copied

Soul training and provider reference IDs remain provider-only. Product Photoshoot's backend prompt enhancement remains provider-only. The package exports a short product intent and approved product truth; it never pretends to know or expose the backend-enhanced GPT Image 2 prompt.

Model names are dated advisories. A human later using the package must verify the current schema. The Skill does not treat a larger version number as a universal upgrade because reference roles, duration, resolution, audio, and editing behavior can differ.

Identity separation

The approved single-solve 3×2 Inspector remains the film's first identity authority. A real-person Soul-readiness record is different: it needs 5–20 unique, lawful, consented, user-provided photographs (8–12 ideal), with one person, clear eyes, sharp focus, varied angles, lighting, expressions, and distances. A generated Inspector is never counted as this real-photo set.

Product truth and modes

Before any campaign derivative, lock product geometry, label text, logo placement, color, material, scale, moving parts, required details, and allowed state changes. Then choose one mode from the real placement and objective: product_shot, lifestyle_scene, closeup_product_with_person, moodboard_pin, hero_banner, social_carousel, ad_creative_pack, virtual_model_tryout, conceptual_product, or restyle.

Files added to the same package

  • manifests/higgsfield-methods.json — local evidence and preparation facts.
  • method-routing.json — task family, reference roles, prompt budget, and dated capability advice.
  • soul-id-prep.json — lawful real-photo readiness, no training.
  • product-photoshoot-prep.json — product truth plus short intent, no enhanced provider prompt.
  • audio-work-orders.json — shot-linked sound and rhythm responsibilities.

All execution flags are fixed to false and validated.

See the full method reference.