Create professional profile headshots of the configured subject from one to three reference photos. The skill generates and critiques image variants, then stages approved results for review, with framing suited to uses such as LinkedIn profiles and publication bios.
Generates professional AI headshots of the principal via Nano Banana Pro from 1-3 reference images, staged to Downloads for review. USE WHEN headshot, profile picture, avatar, photo of me, LinkedIn photo, profile image, new headshot, portrait, generate my photo, professional photo, casual headshot, update profile pic. NOT FOR general art or diagrams (Art), non-headshot images of the principal (Art with reference images), video avatars (HyperFrames), headshots of anyone else.
Run score Not tested
See how to installHeadshot creates AI profile headshots based on one to three reference photos of the configured subject. You can specify details such as square or portrait framing, lighting, clothing, and background; images are usually generated at 2K resolution. The results go through a critique and review process, then are staged as options or a selection sheet. Generated images are saved in the configured user data rather than in the skill itself. The skill is intended for profile photos, LinkedIn, author bios, and similar uses where a photo of the person is needed.
Use it to refresh a profile image or prepare a portrait with framing suited to a particular use. It can adjust the look or aspect ratio based on approved reference photos without arranging a new photo shoot. It is not for general illustrations or diagrams, video avatars, or headshots of other people.
First-time use requires a configuration file and approved reference photos. Before generation, the skill checks the configuration, photo availability, and GOOGLE_API_KEY. It uses Nano Banana Pro and reads the API key from the environment settings. Use photos only of yourself or people who have agreed to likeness use. Results are delivered for review after critique; the subject chooses an image before it is made public.
This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.
AI checked the SKILL.md for operations that need care and for setup requirements. The score comes only from actually running the skill (hands-on test).
Not counted in the score. Rated by AI (OpenAI Codex) as of Oct 28, 2026. Treat it as a guide and read the original before installing.
Review the instructions the agent will receive before you install.
Generates professional AI headshots of the principal with Tools/Headshot.ts, which calls the Gemini image model named geminiImage in LIFEOS/TOOLS/models.ts. Matches facial structure from approved reference photos (which ones go in is the CreateHeadshot rule), and defaults to 2K resolution and 1:1 square (3:4 for portrait). A real photoshoot is slow and expensive to redo every time the look needs to change, and generic AI image tools drift off the actual face; anchoring generation to approved reference photos keeps the output recognizably the subject, at the size and ratio each use (LinkedIn, profile pics, publication bios) needs.
| Intent | Trigger | File |
|---|---|---|
| CreateHeadshot | "headshot", "profile picture", "LinkedIn photo", "professional photo", "update profile pic" | Intents/CreateHeadshot.md |
| File | Read when |
|---|---|
References/ReferenceLibrary.md | choosing references: the approved pool, scene plates, energy-matching rules, growing the pool |
Setup.md | first-time setup, or Headshot.ts check exits non-zero |
Tools/ | Tools/headshot.help.md holds the full CLI flag reference |
Everything about the subject lives in <configRoot>/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/Headshot/Config.md (configRoot is $CLAUDE_CONFIG_DIR when set, else ~/.claude): the directory of approved reference photos with a sentiment for each, the default look (attire, backdrop, mood), and optional scene plates. This skill body is generic and ships no photos or looks; first-time setup is Setup.md.
Tools/Headshot.ts check verifies the config, that the listed photos exist, and that GOOGLE_API_KEY is set. Run it before any generation; when it exits non-zero, stop and report what it printed, which points at Setup.md.LIFEOS/USER/CUSTOMIZATIONS/SKILLS/Headshot/generated-headshots/, never into the skill tree. API keys come from the env file: GOOGLE_API_KEY (from <configRoot>/.env).Nothing this skill produces reaches the owner as a first draft. The artifact goes through Skill("ArtDirection"): a direction council before new or large work, then the cross-vendor critique panel (skills/ArtDirection/Tools/Critique.ts) scores it against the rubric and names defects, then this skill iterates on those defects until the bar or reports the shortfall. Hand-over is skills/ArtDirection/Tools/Deliver.ts, which refuses without a passing critique. Record the owner's verdict with skills/ArtDirection/Tools/Calibrate.ts.
generated-headshots/; a copy reaches ~/Downloads/ only through Deliver.ts after a passing critique. This replaces the 2026-03-22 rule to output there first, as all Art outputs once did.Example 1: LinkedIn Profile Update
User: "Generate a headshot for my LinkedIn profile"
→ CreateHeadshot
→ A critiqued 2K 1:1 headshot in the default look, delivered to ~/Downloads, original kept under generated-headshots/
Example 2: New profile image for a public site
User: "Make me a new profile picture for the site"
→ CreateHeadshot
→ A labeled pick sheet of 2-4 critiqued variants; nothing on the site changes until the principal picks one
Example 3: Specific Style Request
User: "I need a headshot with professional lighting, 3:4 ratio"
→ CreateHeadshot
→ A 3:4 portrait-format headshot with the requested lighting, delivered after a passing critique
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