Create a stylized 6-box grid featuring a couple in various romantic poses and outfits, with each pose framed inside a unique cardboard box packaging.
npx skills add https://github.com/SamurAIGPT/Generative-Media-Skills --skill muapi-couple-grid-creator
Create a stylized 6-box grid featuring a couple in various romantic poses and outfits, with each pose framed inside a unique cardboard box packaging.
| Name | Type | Required | Default | Description |
|:---|:---|:---|:---|:---|
| couple_image | image_url | yes | — | A clear photo of the couple to maintain identity. |
If {{couple_image}} is not provided, ask the user to upload a photo of the couple.
Once the photo is available, submit the plan with ONE step to generate the stylized grid:
muapi image edit (model=qwen-image-edit-plus):{{couple_image}}Convert the above image into an 8k portrait of both faces. Both faces should be clearly visible inside separate packaging: brown square hollow cardboard boxes. There should be 6 big boxes fully occupying the frame in a grid layout. In each box, the couple's faces should be visible, striking different decent romantic poses. Each box should feature a different costume for the couple to differentiate the scenes, with both wearing decent western wear. The background inside each box should be solid black. Maintain strict identity consistency for both the man and the woman from the reference image. Cinematic tone, sharp focus, professional photography.Present the generated 6-box couple grid to the user.
couple grid, romantic grid, packaging grid, couple photo box, stylized couple portrait
muapi CLI commands. Use muapi auth configure first if MUAPI_API_KEY is unset.curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}' and poll with muapi predict wait <request_id>.{{input_name}} placeholders with the user's actual inputs before issuing each call.Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take samuraigpt/muapi-couple-grid-creator from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.