accurate-grok-imagine
Precision prompting workflow for Grok Imagine xAI image generation and editing. Optimized for photorealistic composites, identity-preserving edits, reference-based compositing, anatomy and lighting repairs, and iterative refinement. Trigger on requests for accurate picture generation or editing with preservation requirements.
- License 许可
- MIT
- 最近更新
- 2026-11-02
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01 前言 Front Matter
- name
- accurate-grok-imagine
- description
- Precision prompting workflow for Grok Imagine xAI image generation and editing. Optimized for photorealistic composites, identity-preserving edits, reference-based compositing, anatomy and lighting repairs, and iterative refinement. Trigger on requests for accurate picture generation or editing with preservation requirements.
02 资源文件 1
- 脚本scripts/smart_summarize.py3.1 KB
03 SKILL.md 正文
accurate-grok-imagine
Precision prompting workflow for Grok Imagine / xAI image generation and editing, optimized for photorealistic composites, identity consistency, lighting coherence, anatomy repair, and iterative refinement.
Use this skill whenever the task involves:
- Editing an existing image with specific preservation requirements
- Creating a photorealistic person, portrait, scene, product, or event image
- Combining up to three reference images
- Maintaining identity, clothing, pose, environment, or camera consistency
- Fixing hands, faces, shadows, scale, lighting, or perspective
- Producing a structured Grok Imagine prompt instead of a loose one-sentence request
Do not use generic keyword stuffing such as “8k, masterpiece, ultra detailed” as the main strategy. Grok Imagine responds best to clear, natural-language editing instructions, reference-image anchoring, and structured decomposition.
Core Rules
1. Choose the correct workflow
Use text-to-image when:
- No source image exists
- The request is concept art, a fresh scene, a new portrait, a mockup, or a stylized generation
- Exact preservation is not required
Use image editing when:
- The user provides a base photo
- The composition, background, clothing, pose, or identity must be preserved
- The task involves inserting, removing, replacing, or modifying part of an image
Use multi-image editing when:
- One image supplies the background/composition
- Another supplies a person, face, outfit, object, or visual style
Universal Prompt Structure
Default Photorealistic Edit Template
Multi-Image Composite Template
Identity-Preservation Template
Person Insertion Into Group Photo Template
Lighting and Camera Language
Event photo
Portrait
Candid documentary
Vintage / archival
Product
04 同仓库更多 Skills
clarify-requirements
Resolve genuine pre-execution ambiguity by scanning repo context, generating 1-6 grounded options, and asking 1-3 focused questions via AskUserQuestion. NOT for mid-task use (injection risk); NOT when the goal is already unambiguous; use to disambiguate vague prompts before any file edits.
openmm-md
Run FREE, open-source, Windows-native GPU molecular dynamics via the openmm-md MCP (OpenMM + CUDA on the local NVIDIA GPU). Use for protein / protein-ligand MD when you want a free stack or are on Windows without a Schrodinger license. Covers the full workflow (prepare, solvate, minimize, equilibrate, production, analyze, mmgbsa) AND an honest decision guide vs Schrodinger Desmond, including how to run Desmond legitimately on Linux or a cloud GPU with a real license. This is a deliberately LESSER free alternative and does NOT replace the schrodinger MCP tools. Do NOT use it to pick a free tool when a validated FEP+, WaterMap, IFD-MD, or Prime MM-GBSA result is actually required.
visual-review
Take screenshots of web pages and UI using Playwright for visual review and iteration
status
Diagnostic status report — shows metaswarm installation state, project setup, and potential issues
start
Use when starting work on any task, when the user mentions metaswarm, or when the user wants to begin tracked development work
setup
Interactive project setup — detects your project, configures metaswarm, writes project-local files