b-open-io/gemskills/avatar-portrait

Claude Code and agent skill by b-open-io/gemskills

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

This skill should be used when the user asks to "create an avatar from a photo", "generate a portrait avatar", "make a profile image", "convert headshot to styled portrait", "team member avatar", "character-style avatar", or needs likeness-preserving avatars in any style (including pixel art).

Install

npx vskill@latest install b-open-io/gemskills/avatar-portrait

SKILL.md

Avatar Portrait

Generate stylized avatar portraits from reference photos using the generate-image script (OpenAI GPT Image 2.6 or Gemini, auto-picked), preserving recognizable likeness while applying a requested visual style.

When to Use

Use this skill when the user asks to:

  • Create avatars from photos
  • Generate team member profile images in a specific style
  • Convert headshots to stylized portraits (pixel, retro, illustrated, modern)
  • Create consistent character portraits that resemble real people

Core Principles

Balance Likeness and Style

The critical challenge is achieving BOTH:

  1. Recognizable likeness - Must look like the source person
  2. Chosen style fidelity - Clear style, not photorealistic unless requested

Common failures:

  • Too photorealistic = ignores requested style
  • Too stylized = loses resemblance to source person
Single Source Input

Use ONLY the subject's photo as input. Never use another person's image as a style reference - this causes face blending and loss of likeness.

Prompt Template

Generate a styled avatar portrait from the reference photo.
## INPUT IMAGE
[path to subject's photo] - USE ONLY THIS IMAGE
## CRITICAL: LIKENESS PRESERVATION
Capture the subject's EXACT features from the photo:
- Face shape and jawline
- Eye shape, spacing, and expression
- Nose shape and size
- Mouth/smile characteristics
- Hair texture, color, and style
- Facial hair pattern and coverage (if applicable)
The result must be RECOGNIZABLE as this specific person.
## STYLE REQUIREMENTS
- Style: [style requested by user, e.g. pixel art, painterly, anime, low-poly]
- Keep style cues consistent across linework, shading, and color treatment
- Stylized but maintains individual features
- NOT photorealistic unless explicitly requested
## APPEARANCE
- [Describe clothing from photo or as specified]
- [Describe expression]
- [Describe any accessories]
## BACKGROUND
- [Describe background style and colors]
- Background style should match the character style
## TECHNICAL
- NO TEXT on the image
- 512x512 output
- Portrait orientation, head and shoulders
- Square format
## OUTPUT
Save to: [output path]

Example: Individual Avatar

For a team member named Dan with a reference photo showing short dark hair, beard, black v-neck:

Generate a styled avatar portrait from the reference photo.
## INPUT IMAGE
/path/to/dan-photo.png - USE ONLY THIS IMAGE
## CRITICAL: LIKENESS PRESERVATION
Capture Dan's EXACT features from the photo:
- His specific face shape and jawline
- His eye shape and expression
- His nose shape
- His smile characteristics
- Short dark hair - exact texture and style from photo
- Full dark beard - exact pattern and coverage
The result must be RECOGNIZABLE as Dan.
## STYLE REQUIREMENTS
- Style: retro 16-bit pixel art
- Visible pixels but NOT a pixelated photo filter
- Clean lines, rich colors, consistent shading
- Stylized but maintains individual features
## APPEARANCE
- Black v-neck shirt
- Warm smile showing teeth
- Friendly, approachable expression
## BACKGROUND
- California sunset cityscape
- Warm oranges, pinks, teals
- Pixel art style matching the character
## TECHNICAL
- NO TEXT on the image
- 512x512 output
- Portrait orientation, head and shoulders
## OUTPUT
Save to: /path/to/output/dan-pixel.png

Context Discipline

Do not read generated avatar images back into context. The script outputs only the file path. Ask the user to visually inspect the result and provide feedback for iteration. To inspect programmatically, optimize the image first (via the optimize-images skill).

Iteration Workflow

  1. First attempt: Generate with detailed prompt
  2. Review: Check both likeness AND style
  3. Adjust if needed:
  • If too photorealistic: Emphasize "stylized pixel art character"
  • If likeness lost: Strengthen feature descriptions from source
  • If wrong features: Be more specific about what to capture

Common Issues

Face doesn't match source
  • Ensure ONLY the subject's photo is used as input
  • Add more specific feature descriptions
  • Reference exact details visible in the photo
Too photorealistic
  • Emphasize the style family and key style cues
  • Request "stylized" and "illustrated feel"
  • Add explicit anti-photorealism language unless photorealism was requested
Too cartoonish / loses likeness
  • Strengthen the likeness preservation section
  • List specific features to capture
  • Emphasize "RECOGNIZABLE as this person"

Reference Files

For background style references:

  • `references/background-styles.md` - Common background approaches for avatars

Provider support

Generate through skills/generate-image/scripts/generate.ts with --input <photo>. Reference-image input works on OpenAI (gpt-image-2.6-sunburst via the edits endpoint) and Gemini (Nano Banana Pro). With OPENAI_API_KEY set, auto-pick uses OpenAI; add --style <id> and it routes to Gemini because style tiles are Gemini reference images. Force a provider with --provider openai|gemini. xAI cannot take reference images, so it cannot make likeness avatars.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
2
7-day trend score
5

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 29 Mar 2026, 7 months ago.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/b-open-io/gemskills/avatar-portrait/badge)](https://verified-skill.com/skills/b-open-io/gemskills/avatar-portrait)

Something wrong with this skill or its page? Tell us.