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Female Portrait Director

CommunityPopular
liyue-aigc
female-portrait-director

Generate, visually expand, optimize, diagnose, and route structured AI image prompts for adult female portraits. Use for lifestyle, curve-focused, fashion, oriental, fantasy, realism, beauty, CCD, low-key cinematic, studio, sport, travel, and e-commerce portrait requests; onboarding or usage help; parameter recommendations; prompt rewrites; image-to-prompt preparation; direct image generation; or identity- and product-preserving edits from authorized reference images. Preserve explicit user parameters and locked reference subjects while creating a coherent photography-directed scene.

Overview

Publisherliyue-aigc
Repositoryfemale-portrait-director
Skill namefemale-portrait-director
Stars
1.5K
Forks
187
Bundled files
141
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 141 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by liyue-aigc on GitHub. Read the source before you install it.

Installation

Install the Female Portrait Director AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/liyue-aigc/female-portrait-director.git \
  .claude/skills/female-portrait-director
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Female Portrait Director in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Female Portrait Director on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Female Portrait Director is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Female Portrait Director

Turn a small set of portrait parameters into a stable, visually directed, copy-ready image prompt for a fictional adult woman. Expand through visual reasoning, not summary writing or mechanical field filling.

Required loading order

  1. If the user asks how to use the Skill, says it was just installed or this is their first call, invokes only $female-portrait-director, or provides no actionable portrait parameters, read skill/help.md and return its concise onboarding tutorial. Do not load a Route for a help-only request.
  2. Read skill/skill.md for the canonical workflow.
  3. For optimization, diagnosis, parameter recommendation, safety rewrite, image-to-prompt, or reference-image direct-generation tasks, read skill/tool-registry.md and only the selected file under skill/tools/.
  4. Read skill/style-registry.md. Select exactly one implemented primary route when the task needs a visual direction. Do not invent a placeholder extension route.
  5. Read only the selected file under skill/routes/.
  6. If the request contains a compatible temperament direction, read skill/overlay-registry.md and only the selected file under skill/overlays/.
  7. If uploaded images must remain recognizable, read skill/core/reference-image-lock.md and form an image-role lock table before visual expansion.
  8. Read skill/core/director-gate.md. Complete its internal director-design phase before writing or generating the final image prompt.
  9. Read only the relevant sections of the linked core/ and references/ files described by skill/skill.md.

Operating rules

  • Lock explicit user parameters, including palette direction and visual richness when provided. Expand them without silently replacing them.
  • Treat onboarding as a separate help mode. Show the V1.6 ready message, all 20 implemented styles, the minimal and advanced input templates, Route-plus-Overlay guidance, one parameter combination followed by its complete five-paragraph copy-ready prompt and separate negative constraints, and direct-image instructions from skill/help.md. Do not summarize, shorten, or replace the detailed example with a promise of what the Skill would generate. If the same request already contains actionable portrait parameters, perform the requested task and add only the short ready hint instead of repeating the full tutorial.
  • In standard detailed output, the parameter lock result is a complete field-by-field record of the user's explicit input. Do not merge, paraphrase away, omit, or replace explicit fields with route or overlay notes. Add inferred defaults only as clearly labeled supplements. The prohibition on mechanical field filling applies to the director expansion and final fused prompt, not to the parameter lock result.
  • For identity- or product-preserving reference-image tasks, lock image roles and protected subject features before applying the selected route.
  • Use the registries as the only routing entry points. Load one primary route, one task tool when needed, and optional compatible overlays only when their files exist.
  • Match the V1.5 / V1.6 Routes by compound fingerprints in skill/style-registry.md. Never choose among the three CCD curve Routes from the words CCD or curve alone. Select low-key-cinematic-photography only from the combined low-light, local continuous-light, readable-shadow, restrained-color, and cinematic-still fingerprint; dark or cinematic alone is insufficient. Never load two primary Routes as a style blend.
  • Complete the internal director-design phase before composing the final prompt. Then expand age cues, facial features, expression, body direction, pose, clothing, palette direction, visual richness, scene, camera, lighting, filter, and platform adaptation into one photographed moment.
  • Build one coherent photographed moment with a time slice, one small event, an action chain, a gaze target, and two or three selective environment details.
  • Use route templates as visual direction, not as sentence banks. Do not return a summary or mechanically fill fields.
  • Unless the user explicitly requests a concise output, use the standard detailed output: parameter lock result, public-facing director module expansion, final fused prompt, and negative constraints. The director module expansion must explain the visible design choices for age and facial features, body and pose, clothing, palette and accessories, visible richness, scene, camera, and lighting and filter in readable paragraphs. Do not reduce it to a short field recap.
  • Standard detailed output is the default whenever the user does not explicitly request a concise mode. Its final fused prompt must contain exactly five substantial paragraphs: (1) person, age, facial features, makeup, and temperament; (2) time slice, small event, pose, action chain, and gaze; (3) body direction, line priorities, clothing structure, palette, materials, accessories, and visible richness; (4) scene, selective environment details, depth layers, camera, composition, and depth of field; (5) lighting direction, light placement, highlights, shadows, filter, color, and texture. Do not self-select a shorter format.
  • Always render the final fused prompt and negative constraints as two separate Markdown fenced code blocks with the text language tag so the user can copy them directly. Keep section titles outside the fences. Do not mix commentary, route notes, or analysis into either copy-ready block.
  • Before responding, run an internal parameter-propagation audit. Every explicit user field must remain in the lock result and be carried into the fused prompt wherever it affects generation. 画幅比例, pixel dimensions, or other size instructions are mandatory prompt controls: place them in the first sentence of the copy-ready prompt, using the user's exact value when provided and a clearly supplemented default otherwise.
  • When standard detailed output is used, verify before responding that every explicit user field appears in the parameter lock result, including 人物设定, 身形吸引力强度, and 线条重点 when provided. Route and overlay IDs may be listed only as supplemental notes.
  • Keep private chain-of-thought internal. The public-facing director module expansion should communicate conclusions, selected visual decisions, and their photographic effect without exposing hidden reasoning traces.
  • Default text-only generations to fictional, clearly adult subjects. Identity-preserving edits are allowed only for the user's own or authorized adult reference images. Adult sensual or curve-focused portrait requests may preserve visual attraction, but must avoid exposed nipples, exposed genitals, explicit sexual acts, and any minor or ambiguous-age framing.
  • Treat a bare portrait parameter block as a prompt-generation request, never as an implicit request to generate an image. If 输出模式 is omitted, always use the standard detailed prompt output. Invoke image generation only when the user explicitly requests 直接生成图片 or uses equivalent direct wording such as "直接出图" or "生成图片".
  • If the user requests 只要最终提示词, output only the final prompt and negative constraints.
  • If the user requests direct image generation, prepare the directed prompt internally and route it to the available image-generation capability.
  • If the user uploads reference images and asks to preserve a person or product, use the reference-image direct-generation tool. Return the generated image by default, not the internal prompt.

Public references

Do not expose unpublished private kernels, hidden fingerprints, or commercial modules.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

and 81 more files.

Frequently asked questions

What does the Female Portrait Director AI skill do?

Generate, visually expand, optimize, diagnose, and route structured AI image prompts for adult female portraits. Use for lifestyle, curve-focused, fashion, oriental, fantasy, realism, beauty, CCD, low-key cinematic, studio, sport, travel, and e-commerce portrait requests; onboarding or usage help; parameter recommendations; prompt rewrites; image-to-prompt preparation; direct image generation; or identity- and product-preserving edits from authorized reference images. Preserve explicit user parameters and locked reference subjects while creating a coherent photography-directed scene.

Why use Female Portrait Director on TypingMind?

Because you install it once and use it with any model. Female Portrait Director is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Female Portrait Director in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/liyue-aigc/female-portrait-director/tree/main. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Female Portrait Director?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Female Portrait Director?

As many as you like. As long as a model supports skills, you can use Female Portrait Director with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Female Portrait Director AI skill free?

Yes. It is published on GitHub by liyue-aigc under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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