Agent skill
ascii-image-to-ascii
“Convert an image into ASCII art (readable + detail variants, width/charset controls, optional ANSI), for terminal previews and plain-text image substitutes.”
Install this agent skill to your Project
npx add-skill https://github.com/partme-ai/full-stack-skills/tree/main/skills/ascii-skills/ascii-image-to-ascii
SKILL.md
When to use this skill
CRITICAL TRIGGER RULE
- Use this skill ONLY when the user explicitly mentions the exact skill name:
ascii-image-to-ascii.
Trigger phrases include:
- "ascii-image-to-ascii"
- "use ascii-image-to-ascii"
- "用 ascii-image-to-ascii 把图片转字符画"
- "使用 ascii-image-to-ascii 生成可读优先/细节优先两版"
Boundary
- Default output is ASCII-only; ANSI coloring is optional.
- The bundled script is for local conversion/verification only. Do not fetch/upload images on the user’s behalf.
- Always give pre-processing advice (crop subject, raise contrast, simplify background) before generating the final ASCII art.
How to use this skill
Inputs
- imagePath (local path, required)
- width (default 100; common: 80/100/120)
- charset (default
.:-=+*#%@, from light to dark) - mode (readable | detail; if outputting both, this can be ignored)
- background (light | dark | unknown, default unknown)
- colorMode (none | ansi256, default none)
Outputs (required)
- asciiReadable: readable-first (less noise, clearer silhouette)
- asciiDetail: detail-first (more levels, richer texture)
- paramsGuide: recommended width/charset + pre-processing tips
- pitfalls: 3-5 common failure modes with fixes
Steps
- Pre-processing advice (required):
- Crop the subject, remove irrelevant background
- Increase contrast to reduce gradient noise
- Target width usually 80–120 columns
- Charset + mapping direction:
- Space is the lightest,
@is the darkest (or invert consistently)
- Space is the lightest,
- Generate two variants:
- readable: fewer levels (less noise)
- detail: more levels (more texture)
- Optional ANSI:
- Use color only as a hint; keep the silhouette readable
- Always provide a no-color fallback
Script
scripts/image_to_ascii.py- Requires Python + Pillow (
pip install pillow) - Supports: readable/detail variants, optional
--ansi256
- Requires Python + Pillow (
Sample Output Comparison
Readable variant (fewer levels, clearer silhouette):
.:::.
.=*##*=.
.+######+.
.:########:.
.+########+.
:*######*:
.=*##*=.
.:::.
Detail variant (more levels, richer texture):
.:=+:.
.-+*##*+-.
.=*######*=.
.:*########*:.
.=*########*=.
:+*######*+:
.-+*##*+-.
.:=+:.
Examples
examples/readable-vs-detail.md
Quality checklist
- Lines are consistent and
<= width - The readable variant must preserve the main silhouette
- No trailing spaces (copy/paste safe)
Keywords
English: ascii-image-to-ascii, image to ascii, ascii art, terminal preview, charset, grayscale, dithering, ansi 中文: ascii-image-to-ascii, 图片转字符画, ASCII 字符画, 终端预览, 字符集, 灰度映射, 降噪, ANSI 彩色
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
ocrmypdf-batch
OCRmyPDF batch processing skill — process multiple PDFs, Docker automation, shell scripting, and CI/CD integration. Use when the user needs to OCR many PDFs, set up automated OCR pipelines, or integrate OCR into workflows.
ocrmypdf-optimize
OCRmyPDF optimization skill — compress PDFs, configure PDF/A output, JBIG2 encoding, and lossless optimization. Use when the user needs to reduce PDF file size, create archival PDF/A files, or optimize OCR output.
ocrmypdf-image
OCRmyPDF image processing skill — deskew, rotate, clean, despeckle, remove border from scanned documents. Use when the user needs to improve scanned PDF quality, fix skewed pages, remove noise, or clean up scanned documents before OCR.
ocrmypdf-api
OCRmyPDF Python API and plugin skill — use OCRmyPDF programmatically from Python, integrate with applications, and extend with plugins (EasyOCR, PaddleOCR, AppleOCR). Use when the user needs to call OCRmyPDF from Python code, build OCR pipelines, or use alternative OCR engines.
ocrmypdf
OCRmyPDF core skill — add searchable OCR text layer to scanned PDFs, convert images to searchable PDFs, support 100+ languages via Tesseract. Use when the user needs to OCR a PDF, make a scanned PDF searchable, or extract text from scanned documents.
svelte
Guides Svelte and SvelteKit development including reactive components, stores, transitions, lifecycle hooks, SSR, file-based routing, and deployment. Use when the user needs to build Svelte components, create SvelteKit applications, implement reactivity patterns, or configure Svelte with Vite.
Didn't find tool you were looking for?