AI纹身提示器

ai-tattoo-prompt-builder

by alpha777778

Turn vague tattoo ideas into stronger AI-ready prompts by combining motif, style, placement, scale, and mood into one clearer instruction. Use when Codex needs to refine tattoo concepts for image generation, placement comparison, prompt iteration, or pre-artist visual exploration.

4.5kAI 与智能体未扫描2026年4月20日

安装

claude skill add --url https://github.com/openclaw/skills

文档

AI Tattoo Prompt Builder

Use this skill to convert a broad tattoo idea into a prompt that is visually specific enough for image generation or artist discussion.

Core Objective

Build prompts that tell the image model exactly what to render, where it sits on the body, and what visual language it should follow.

Gather The Minimum Inputs

Collect or infer these inputs before writing the final prompt:

  • motif
  • style
  • placement
  • scale
  • mood or finish

Workflow

  1. Identify the motif.
  2. Translate vague words into visual terms.
  3. Identify or compare likely placements.
  4. Identify the size or composition scope.
  5. Add one mood or finish note.
  6. Merge everything into one prompt line.
  7. Generate variants when the idea is still broad.

Prompt Formula

Use this structure:

motif + tattoo style + placement + scale/composition + mood/finish

Examples:

  • dragon tattoo, japanese style, forearm placement, vertical medium-size composition, powerful flowing movement
  • semicolon tattoo, fine line, inner wrist placement, small minimalist design, delicate and clean
  • angel statue tattoo, black and grey realism, upper back placement, large centered composition, solemn memorial mood

Rewrite Rules

  • Replace broad words like cool, nice, or meaningful with visual instructions.
  • Prefer body-aware placement language over generic composition language.
  • Keep the subject count low. Do not overload the prompt with too many focal elements.
  • If placement is missing, compare 2-3 likely placements instead of silently guessing one.
  • If symbolism is mentioned, translate it into visible elements before expanding on meaning.
  • If the idea is still broad, produce 3 variants:
    • safer or simpler
    • bolder or more visible
    • richer or more detailed

Output Shape

Default output:

  • one improved prompt
  • two alternative prompt variants
  • one short note on why the prompt is stronger and more renderable

If the user asks for more depth, also provide:

  • a placement variant
  • a style variant
  • a smaller simpler variant

Constraints

  • Keep prompts visual.
  • Avoid over-explaining symbolism unless the user explicitly asks.
  • Keep the output useful for both AI generation and artist handoff.
  • Favor concrete style language such as fine line, blackwork, japanese, black and grey realism, neo traditional, or minimal.

Related Site

This skill pairs well with tattoo ideation workflows on:

  • https://www.inkforge.me/
  • https://www.inkforge.me/placement

相关 Skills

Claude接口

by anthropics

Universal
热门

面向接入 Claude API、Anthropic SDK 或 Agent SDK 的开发场景,自动识别项目语言并给出对应示例与默认配置,快速搭建 LLM 应用。

想把Claude能力接进应用或智能体,用claude-api上手快、兼容Anthropic与Agent SDK,集成路径清晰又省心

AI 与智能体
未扫描139.0k

RAG架构师

by alirezarezvani

Universal
热门

聚焦生产级RAG系统设计与优化,覆盖文档切块、检索链路、索引构建、召回评估等关键环节,适合搭建可扩展、高准确率的知识库问答与检索增强应用。

面向RAG落地,把知识库、向量检索和生成链路系统串联起来,做架构设计时更清晰,也更少踩坑。

AI 与智能体
未扫描15.8k

多智能体架构

by alirezarezvani

Universal
热门

聚焦多智能体系统架构设计,梳理 Supervisor、Swarm、分层和 Pipeline 等模式,覆盖角色定义、通信协作与性能评估,适合规划稳健可扩展的 AI agent 编排方案。

帮你系统解决多智能体应用的架构设计与协同编排难题,适合构建复杂 AI 工作流,成熟度高、社区认可也很亮眼。

AI 与智能体
未扫描15.8k

相关 MCP 服务

知识图谱记忆

编辑精选

by Anthropic

热门

Memory 是一个基于本地知识图谱的持久化记忆系统,让 AI 记住长期上下文。

帮 AI 和智能体补上“记不住”的短板,用本地知识图谱沉淀长期上下文,连续对话更聪明,数据也更可控。

AI 与智能体
86.1k

顺序思维

编辑精选

by Anthropic

热门

Sequential Thinking 是让 AI 通过动态思维链解决复杂问题的参考服务器。

这个服务器展示了如何让 Claude 像人类一样逐步推理,适合开发者学习 MCP 的思维链实现。但注意它只是个参考示例,别指望直接用在生产环境里。

AI 与智能体
86.1k

PraisonAI

编辑精选

by mervinpraison

热门

PraisonAI 是一个支持自反思和多 LLM 的低代码 AI 智能体框架。

如果你需要快速搭建一个能 24/7 运行的 AI 智能体团队来处理复杂任务(比如自动研究或代码生成),PraisonAI 的低代码设计和多平台集成(如 Telegram)让它上手极快。但作为非官方项目,它的生态成熟度可能不如 LangChain 等主流框架,适合愿意尝鲜的开发者。

AI 与智能体
7.9k

评论