higgsfield-image-shots SKILL.md skillA

higgsfield-image-shots from osidemedia/higgsfield-ai-prompt-skill is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add osidemedia/higgsfield-ai-prompt-skill/higgsfield-image-shots@v3.0.0

Pins v3.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
osidemedia/higgsfield-ai-prompt-skill
Path
skills/higgsfield-image-shots/SKILL.md
Versions recorded
4
Latest version
v3.0.0, committed Sep 27, 2026
First version recorded
Apr 18, 2026
Size
20,595 bytes
Repository stars
769
License
MIT

Use when the user wants to generate a cinematic still image on Higgsfield, asks about shot framing, camera angle, or composition for image prompts, needs a specific shot type (close-up, wide shot, cowboy shot, etc.), or is working with [img] reference-based image generation. Covers distance & size shots, camera angles, and camera movement keywords optimized for AI image models (Soul 2.0, Nano Banana, Seedream, GPT Image, Flux, etc.).

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Higgsfield Cinematic Image Prompting

## QUICK FACTS
*Generated-checked block (scripts/build_index.py verifies anchors). Read the linked sections for full context — these lines are routing aids, not the rules themselves.*
- Scope: still-image composition only; `[img 1]` is the Soul ID / uploaded reference token — replace with a character description or @ Element when no reference is used [→](#how-to-use-this-reference)
- Base pattern: [Shot keyword] of [img 1 or character description] + [pose/action] + [environment detail] + [lighting/atmosphere] [→](#how-to-use-this-reference)
- 10 framing sizes, EWS → Macro: EWS tiny-in-landscape, Wide full body, Full head-to-toe, MLS knees up, Cowboy mid-thigh up, Medium waist up, MCU chest up, CU face, ECU single detail, Macro texture [→](#distance--size--quick-reference)
- Framing keywords: "EWS, Vast, Landscape" / "Wide Shot, Full Body" / "Cowboy Shot" / "MCU" / "Close-Up" / "ECU" / "Macro" [→](#distance--size--quick-reference)
- 10 angles: Eye-Level, Low Angle, High Angle, Overhead, Worm's Eye, Dutch/Canted, OTS, POV, Selfie, Ground Level [→](#angles--quick-reference)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add osidemedia/higgsfield-ai-prompt-skill/higgsfield-image-shots@sha256:f4ef536527c491c8

The line at the top of this page pins the label v3.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_h6rdar4gyqtybeeb.svg)](https://markdownregistry.com/a/art_h6rdar4gyqtybeeb)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 4 versions of this file, between Apr 18, 2026 and Sep 27, 2026, about one every 54 days.

versioncommittedcommitsizeaudit
v3.0.0 latest2026-09-27 ba483ae 20,595 BA view · diff
v3.0.02026-07-06 05f2e09 20,584 BA view · diff
v3.0.02026-06-11 67902a7 20,576 BA view · diff
v3.0.02026-04-18 7504371 18,186 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (20595 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

osidemedia/higgsfield-ai-prompt-skill · 769 stars · license MIT · pushed 2026-09-27 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_h6rdar4gyqtybeeb
GET https://markdownregistry.com/api/v1/resolve?ref=osidemedia/higgsfield-ai-prompt-skill/higgsfield-image-shots
GET https://markdownregistry.com/api/v1/blob/f4ef536527c491c88ae7059dc31dabb86a36c19f603db47a13107f0f0d72b91d

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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