git:20260828.b210ea2 to git:20260828.c5c5fc7

10 added, 7 removed. Audit A to A.

---

name: gpt-image-2-portrait-library

- description: Choose, inspect, attribute, and safely adapt original-language GPT Image 2 portrait-editing prompts from a 728-record provenance-first library. Use for portrait restoration, natural retouching, identity-preserved transformations, professional headshots, and meaningful family or memorial photos.

+ description: Choose, inspect, attribute, and safely adapt original-language GPT Image 2 portrait-editing prompts from a 631-record provenance-first library. Use its two-level task and scenario taxonomy for restoration, natural retouching, professional identity photos, lifestyle portraits, and identity-preserved transformations.

---

# GPT Image 2 Portrait Library

Use this Skill to turn a real portrait-editing request into a source-aware recommendation. It is designed for client work, preservation work, and public research: the prompt, source link, publisher, authorship status, curation category, and website catalog are generated from one corpus.

## Source of truth

- - Read `references/portrait-library.md` first for the six portrait categories and selection rules.

- - Use `references/portrait-records.json` as the installed, complete source of truth. It includes all 728 original-language prompts and their hashes, source URLs, publisher/creator fields, identity controls, and risk flags.

+ - Read `references/portrait-library.md` first for the two-level portrait taxonomy and selection rules.

+ - Use `references/portrait-records.json` as the installed, complete source of truth. It includes all 631 curated original-language prompts and their hashes, source URLs, publisher/creator fields, identity controls, framing, and risk flags.

- Use `node bin/portrait-prompt-atlas.mjs search --query "..."` to narrow candidates. Use `show <record-id>` to inspect a full record. Do not rely on memory for case IDs or attribution.

## Modes

### 1. Find a collected prompt

- 1. Identify the user task: `restoration_and_preservation`, `natural_retouch_and_beauty`, `professional_headshot_and_brand`, `lifestyle_and_travel_portrait`, `editorial_fashion_portrait`, `identity_locked_style_transfer`, `memory_family_and_relationship`, or `creative_portrait_scene`.

- 2. Prefer `identity_lock: explicit` when the request involves an existing person, a sentimental image, a family photo, or a client portrait.

- 3. Filter records by the task family, identity control, and any needed terms. Read the complete candidate prompt before presenting it.

- 4. Return one strongest match, or two to three clearly different matches if the request is ambiguous.

+ 1. Identify both the primary task family and the secondary scenario. For example, use `professional_headshot_and_brand` + `business_headshot_and_profile` for a corporate avatar, but `professional_headshot_and_brand` + `personal_branding_half_and_full_portrait` for a half/full-body personal-brand image.

+ 2. Never select natural retouching for an illustration, sketch, anime, painting, or other non-photographic rendering; use `identity_locked_style_transfer` and its relevant secondary scenario instead.

+ 3. Prefer `identity_lock: explicit` when the request involves an existing person, a sentimental image, a family photo, or a client portrait.

+ 4. Filter records by the task family, identity control, framing, and any needed terms. Read the complete candidate prompt before presenting it.

+ 5. Return one strongest match, or two to three clearly different matches if the request is ambiguous.

### 2. Adapt a collected prompt

Keep the collected prompt verbatim first. Then, only when asked, provide a separate **Adaptation patch** that lists exactly which variables or clauses change. Do not silently rewrite the record or call the adapted text the source prompt.

### 3. Create a new prompt

When no record fits, write a new prompt and label it **Atlas-created prompt, not a collected record**. Do not inherit a source creator or X link. For real portraits, specify identity, age, defining facial features, expression, natural skin texture, body proportions, lighting consistency, and what must not change.

## Non-negotiable language and attribution rules

- Collected prompts are always returned in their original language. Chinese stays Chinese; English stays English. Never translate, normalize, shorten, or improve the original under the same record ID.

- `original_creator_self_claimed`: name the verified creator and link the source post.

- `repost_creator_credited`: name the credited creator first and the reposter second.

- `publisher_unverified`: say “source publisher: @handle; original prompt author unverified.” Do not call the publisher the author.

- `repost_creator_unknown` or `source_not_verifiable`: say that prompt authorship is not verified.

If a prompt is shared publicly, include the X link and provenance status. Route corrections/removals to the repository issue template.

## Real-person quality gate

Before recommending or creating a prompt, check identity preservation, natural texture, a believable scene/camera/lighting combination, and that the provenance statement exactly matches the record.

## Response shape

Use this compact format:

```markdown

### Recommended record: GI2_xxxxx

Fit: [one concise sentence]

Category: [category]

+ Secondary scenario: [sub_category]

+ Framing: [framing]

Identity control: [value]

Source status: [required provenance wording] ([X source](...))

Original prompt (verbatim; original language):

```text

[verbatim source prompt]

```

Adaptation patch: [only if requested; clearly separate from the source]

```

## Maintenance

When `data/prompts.jsonl` or `data/portrait-library.json` changes, run:

```bash

npm run generate:portrait-skill

npm test

```

The generator synchronizes the website catalog and installed Skill records; do not edit generated reference files by hand.