SVG Creator Skill for Muse
Icons, logos, and infographics in SVG — rendered, inspected, then delivered.
- What
- Icons, logos, and infographics in SVG — rendered, inspected, then delivered.
- Cost
- Free
- Needs
- Python 3 (for the mandatory render/verify loop script); a way to view rendered PNGs; Chromium or a headless renderer helps for the verify step.
- Install
- Copy the installer prompt below into your Muse — your agent does the rest.
High-quality SVG creation — icons, logos, diagrams, infographics, patterns, animated graphics — built around one non-negotiable loop: write the SVG, render it, actually look at the PNG, assess, fix, repeat. A helper script (svg_loop.py) enforces the loop and flat-out refuses to deliver a file that was never rendered. Along the way it applies professional finishing techniques: 4+-stop gradients with hue shifts, five-zone lighting, colored shadows (never pure black), drop-shadow and grain filters, thick rounded lines for reliably connected limbs, and incremental building for complex figures (torso, then limbs, then head — rendering after each step). Category guidance covers stroke-grid icons, logos legible at 64px, layered landscapes, data visualizations, and repeating patterns. Discovered via skills.sh. Honest note: needs Python 3 for the loop script and a way to view rendered PNGs; budget iterations — 1–2 for icons, 2–3 for infographics, 5–8 for characters and figures. Skill Harbor never reviews the code, review it yourself before use. Not verified.
Curated by Skill Harbor — free, open-source skill (Apache-2.0) by @upbrew-tech.
Version:
Install
Prerequisites: Python 3 (for the mandatory render/verify loop script); a way to view rendered PNGs; Chromium or a headless renderer helps for the verify step. Install "SVG Creator Skill for Muse" for me. Create high-quality SVGs — icons, logos, diagrams, infographics — with a mandatory write → render → view → fix loop enforced by a helper script that refuses to deliver unrendered files. Repository: https://github.com/upbrew-tech/svg-creator-skill/blob/main/SKILL.md 1. Fetch the SKILL.md file plus its helper files (scripts/loop script, references/techniques) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code; credentials only via the secure vault. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "svg-creator". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. install Python 3, describe the graphic I want). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.
Questions
How do I install a build?
Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.
Where does my money go?
Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.
What does the ✓ next to a creator’s name mean?
It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.