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Agent Skill · 待分类

comfyui-prompt-engineer(comfyui 提示工程师)

用于辅助提示词、系统指令、Agent 行为约束和工作流模板的整理。它适合让 Agent 规范任务边界、统一输出格式、拆分操作步骤或优化提示词可复用性。使用时需要保留真实业务约束,不要把示例当硬规则;涉及自动执行、外部工具或高风险操作时,应在提示词中明确确认步骤、权限边界和失败处理方式。

comfyui-prompt-engineer 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在待分类类的 11,209 个 Skill 里排第 895。

总安装 6,744周安装 281GitHub Stars 50下载 2,248核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:comfyui-prompt-engineer(comfyui 提示工程师)
来源仓库:https://github.com/mckruz/comfyui-expert
仓库路径:skills/comfyui-prompt-engineer
安装命令:
npx skills add https://github.com/mckruz/comfyui-expert --skill comfyui-prompt-engineer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/mckruz/comfyui-expert --skill comfyui-prompt-engineer

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

comfyui-prompt-engineer 根据模型和身份方法生成优化提示词,适配不同响应风格。针对 FLUX.1 系列调整 CFG 值和标签使用策略,避免冗余描述。结构化提示词包含主体、场景、光影和风格要素,提升生成质量。输出基于经验规则,实际效果需通过实验验证调整。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/comfyui-prompt-engineer

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/mckruz/comfyui-expert --skill comfyui-prompt-e…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

comfyui-prompt-engineer 怎么安装?

在终端执行 npx skills add https://github.com/mckruz/comfyui-expert --skill comfyui-prompt-engineer。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

comfyui-prompt-engineer 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

comfyui-prompt-engineer 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

comfyui-prompt-engineer 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

comfyui-prompt-engineer 用的人多吗?

公开数据是累计安装 6,744 次,近一周安装 281 次,下载 2,248 次,GitHub 50 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

comfyui-prompt-engineer 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
comfyui-prompt-engineer

comfyui 提示工程师 · 本页

6,74450只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

ComfyUI Prompt Engineer

Generates optimized prompts tailored to specific models and identity methods. Different models respond differently to prompts.

Model-Specific Prompt Rules

FLUX.1 (dev/schnell/Kontext)

  • Style: Natural language descriptions work best
  • CFG: 3.5-4 (very low)
  • Quality tags: Minimal - FLUX doesn't need "masterpiece, best quality"
  • Length: Medium (50-100 words)
  • Structure: {subject description}, {setting}, {lighting}, {camera/style}

Good FLUX prompt:

photorealistic portrait of a woman with auburn hair and green eyes, freckles across
her nose and cheeks, wearing a cream knit sweater, sitting in a cafe with warm ambient
lighting, shallow depth of field, shot on Sony A7IV, 85mm lens

Bad FLUX prompt (too many quality tags):

masterpiece, best quality, 8k uhd, highly detailed, photorealistic portrait...

SDXL (RealVisXL, Juggernaut, etc.)

  • Style: Quality tags at front help significantly
  • CFG: 7-9
  • Quality tags: Include masterpiece, best quality, photorealistic
  • Length: Medium-long (50-150 words)
  • Structure: {quality tags}, {trigger word}, {subject}, {details}, {setting}, {style}
  • Weighted syntax: Supported (important:1.3) or ((very important))

Good SDXL prompt:

masterpiece, best quality, sage_character, photorealistic portrait of a woman,
detailed skin texture with freckles, emerald green eyes, auburn copper hair,
natural lighting from window, indoor setting, shallow depth of field,
RAW photo quality, 8k uhd, film grain

SD 1.5

  • Style: Tag-based works best
  • CFG: 7-8
  • Quality tags: Essential
  • Length: Shorter (30-80 words)
  • Structure: {quality}, {trigger}, {subject}, {details}, {style tags}

Wan 2.1/2.2 (Video)

  • Style: Concise motion descriptions
  • CFG: 5-7
  • Quality tags: Minimal
  • Length: Short (20-50 words)
  • Focus: Describe the motion, not just the appearance
  • Structure: {subject}, {action/motion}, {setting}, {quality}

Good Wan prompt:

young woman with auburn hair, talking naturally with gentle hand gestures,
seated at a modern desk, soft studio lighting, high quality

AnimateDiff

  • Style: Same as base model (SD1.5/SDXL) but add motion keywords
  • Motion keywords: Include camera/subject motion description
  • Length: Same as base model

With Identity Methods

InstantID Prompts

Key adjustments:

  • DO NOT describe specific facial features (the model provides them)
  • DO describe everything else: clothing, pose, setting, lighting
  • Keep CFG at 4-5
photorealistic portrait, wearing black leather jacket, standing in an alley,
dramatic side lighting, urban setting, moody atmosphere, 8k quality

PuLID Prompts

Key adjustments:

  • Can include some facial descriptions (PuLID is more tolerant)
  • Method "neutral" for realistic, "fidelity" for exact match
  • CFG 5-7
sage_character, photorealistic portrait, green eyes visible, natural makeup,
professional headshot, neutral grey background, studio lighting

IP-Adapter FaceID

Key adjustments:

  • Describe the style you want, not the face
  • weight_type "style transfer" for 3D→realistic
  • Standard CFG for base model
photorealistic portrait, DSLR photo quality, natural skin texture,
warm indoor lighting, bokeh background, professional photography

FLUX Kontext (Editing)

Key adjustments:

  • Describe the EDIT, not the full image
  • Be specific about what to change
  • Mention what to preserve
Change the outfit to a formal black evening dress while keeping the face,
hair, and pose exactly the same. Add subtle jewelry.

With Character LoRA

Key adjustments:

  • ALWAYS include trigger word first
  • Don't describe features the LoRA has learned
  • Focus on what varies: pose, clothing, setting, lighting
sage_character, standing on a rooftop at sunset, wind blowing hair,
wearing casual summer dress, city skyline behind, golden hour lighting,
cinematic composition

Negative Prompt Templates

Universal Negative (SDXL/SD1.5)

(worst quality:1.4), (low quality:1.4), blurry, deformed, bad anatomy,
bad hands, extra fingers, missing fingers, extra limbs, fused fingers,
text, watermark, signature, jpeg artifacts, username, error

Photorealism Negative

3d render, cartoon, anime, illustration, painting, drawing, cgi,
plastic skin, smooth skin, airbrushed, video game, doll, mannequin,
oversaturated, artificial lighting

Video Negative (Wan/AnimateDiff)

static, frozen, jerky motion, low quality, blurry, distorted face,
bad anatomy, glitch, artifacts, flickering, jittery, unnatural movement

FLUX Negative (keep minimal)

blurry, low quality, distorted, deformed, ugly, watermark, text

Prompt Construction Workflow

  1. Get character profile from projects/{project}/characters/{name}/profile.yaml
  2. Get target model from inventory/user preference
  3. Apply model rules from above
  4. Add identity method modifiers if applicable
  5. Include trigger word if LoRA is being used
  6. Draft positive + negative pair
  7. Review against past successes in character's generation_history
  8. Adjust CFG recommendation based on method stack

Reference

  • references/prompt-templates.md - Full template library with examples
  • references/workflows.md - CFG and sampler settings per workflow
  • Character profiles in projects/ for trigger words and feature descriptions

平台分布

Codex

33.22%
按下载量换算747

Claude

30.46%
按下载量换算685

Cursor

20.74%
按下载量换算466

Gemini CLI

9.62%
按下载量换算216

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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