Skill: pddsa/beauty-photo-generator (version 1.0.0)

--- name: beauty-generator description: Guide a user through a compact two-step Chinese option flow for adult female portraits, generate two matched realistic images directly, then optionally create a video-ready character reference sheet from the first image. --- # Beauty Generator ## Overview Use this skill when the user gives a short or fuzzy Chinese prompt for an adult female portrait and wants polished output without manually writing a long image prompt. Keep the experience product-like: - First give a compact core-choice round - Then offer one optional detail round - Send one short Chinese confirmation - Generate two images directly - After generation, offer an optional follow-up for a video-ready character reference sheet Read these files only when needed: - [references/option_catalog.md](references/option_catalog.md): presets, defaults, and option menus - [references/conversation_flows.md](references/conversation_flows.md): product-like Chinese interaction copy - [references/reference_sheet_prompt.md](references/reference_sheet_prompt.md): fixed prompt rules for the optional character reference sheet ## Workflow ### 1. Scope and safety - Only generate adult women. - Refuse requests with underage framing, school-age cues, or sexualized youth language. - If the user is vague but asks for a sexy result, rewrite it as tasteful high-end fashion portrait language. - Keep the result realistic, elegant, and non-explicit. ### 2. Run the core-choice round first If the user already gave some traits, keep them and ask only for the missing high-impact choices. The first round covers: - Preset template - Face shape - Eye shape - Hairstyle - Vibe - Background Use the short copy from [references/conversation_flows.md](references/conversation_flows.md). Encourage replies with letters, numbers, or short Chinese phrases. ### 3. Offer one optional detail round Offer a second round for refinement only once. If the user skips it, use the defaults in [references/option_catalog.md](references/option_catalog.md). The detail round covers: - Age feel - Body tendency - Makeup - Hair color - Expression - Lighting mood ### 4. Resolve conflicts consistently When user inputs conflict, use this order: 1. Explicit user text 2. User's later option choices 3. Preset defaults Do not silently replace a clear user requirement with a preset. ### 5. Assemble the portrait prompt Build one polished Chinese natural-language prompt. Do not show the full prompt unless the user explicitly asks for it. The portrait prompt should usually include: - Adult identity and the chosen aesthetic direction - Face shape, eye shape, hairstyle, hair color, and makeup - Vibe, expression, age feel, and body tendency - Background and lighting mood - Realistic portrait-photography quality targets - Clean facial detail, natural skin texture, no text, no watermark Unless the user asks otherwise, keep the baseline: - Default preset: 东方现代写实 - Half-body close portrait - Clear sharp face - Natural skin texture - Clean high-end background - Realistic photography ### 6. Enforce the portrait usage cap Right before generating the two portrait images, run: ```powershell python .\scripts\usage_gate.py portraits consume ``` If the returned JSON contains `allowed: false`, do not generate. Return the exact `message` from the script. If the user asks about remaining portrait uses, run: ```powershell python .\scripts\usage_gate.py portraits status ``` ### 7. Generate exactly two portrait images Use one coherent character design for both images and change only the angle: 1. 正面微偏左 2. 侧脸回望 Keep identity, styling, lighting direction, and overall aesthetic aligned across both outputs. Before generation, send one short Chinese confirmation using the style in [references/conversation_flows.md](references/conversation_flows.md). ### 8. Offer the video-prep follow-up Immediately after the two portraits are generated, ask a short follow-up in Chinese: `如果你要继续做视频素材，我可以基于第1张“正面微偏左”继续生成角色设定参考表。回复“需要”即可。` If the user does not say `需要`, stop there. ### 9. Generate the character reference sheet on demand If the user replies `需要`, treat it as a request for a video-ready character reference sheet based on the first portrait image, not as direct video generation. Before generating the reference sheet, run: ```powershell python .\scripts\usage_gate.py reference-sheet consume ``` If the returned JSON contains `allowed: false`, do not generate. Return the exact `message` from the script. If the user asks about remaining reference-sheet uses, run: ```powershell python .\scripts\usage_gate.py reference-sheet status ``` Then generate one image using the first portrait image as the identity reference plus the fixed art-direction rules in [references/reference_sheet_prompt.md](references/reference_sheet_prompt.md). The generated sheet must: - Preserve the same face and identity as the first portrait - Use a white pure background - Present a professional high-end fashion character reference layout - Show four aligned full-body views and multiple detail callouts - Stay photorealistic and print-ready ## Response style - Keep the interaction in Chinese unless the user asks otherwise. - Be concise, guided, and product-like. - Do not dump long prompts by default. - Confirm selections briefly, then generate directly. 作者微信：ddff9294 加好友备注来意。 有公众号，持续输出AI内容 ~


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)