Generate consistent hand-drawn image prompts with Hand Drawn Styles
Apply verified hand-drawn style recipes to a subject so an agent can output clean, reusable prompts or production JSON call packages for image generation.
npx skills add agentskillexchange/skills --skill generate-consistent-hand-drawn-image-prompts-with-hand-drawn-styles
Use Hand Drawn Styles when an agent needs to turn a user’s subject, text, and aspect-ratio request into a consistent hand-drawn image prompt or formal JSON call package. The workflow is bounded: choose one of the maintained styles, fill the recipe placeholders, preserve required references for styles that need anchors, and output a copy-ready prompt or renderer output for the user’s image model. Invoke this instead of manually prompting an image product when repeatable style selection and recipe fidelity matter more than freeform image generation. That scope boundary, hand-drawn prompt and call-package generation from a maintained skill recipe library, keeps this from being just an image model or prompt collection listing.
What this skill actually does
Inputs and prerequisites: Agent runtime that can read custom instructions, Hand Drawn Styles skill package, optional Python 3 renderer, target image generation model for final image creation.
Setup notes: Download the latest hand-drawn-skill.zip release, unpack it while preserving the hand-drawn/ directory structure, place it in the target agent’s skills or rules directory, then run python3 -B scripts/check_skill.py to verify the install.
Source and verification boundary: use https://github.com/threerocks/hand-drawn-styles as the canonical reference before running the workflow; keep commands, API calls, CLI usage, and generated outputs reviewable against that upstream source.
Framework fit: publish this as a Multi-Framework workflow only when the operator can invoke the documented toolchain directly, rather than treating the upstream project as a generic product listing.