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prompt-export及时导出

Agent Skill

用于辅助前端页面、组件、样式和交互逻辑的开发与维护。它适合让 Agent 生成或审查 React、Next.js、Vue、Tailwind、CSS 等相关代码,整理组件结构,或定位布局和性能问题。使用时需要结合项目现有设计系统、路由和构建方式,避免只生成孤立片段;涉及页面改动时,应配合本地预览和构建检查确认视觉效果。

总安装

523

周安装

22

GitHub Stars

4

下载量

183
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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:prompt-export(及时导出)
来源仓库:https://github.com/abhsin/designskills
仓库路径:skills/prompt-export
安装命令:
npx skills add https://github.com/abhsin/designskills --skill prompt-export
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/abhsin/designskills --skill prompt-export

简介

用于辅助前端页面、组件、样式和交互逻辑的开发与维护。

  • 适合让 Agent 生成或审查 React、Next.js、Vue、Tailwind、CSS 等相关代码。
  • 通过安装命令添加,需结合项目现有设计系统和路由使用。
  • 涉及页面改动时,应配合本地预览和构建检查确认视觉效果。
  • prompt-export 属于AI 工具类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Prompt Export

Transform design artifacts into a sequenced prompts.md file that guides coding agents through incremental development.

Why This Exists

Breaks development into sequenced prompts with checkpoints, preventing agents from losing focus or making assumptions.

Input Requirements

This skill expects upstream context from one or more of:

  • Problem framing document
  • PRD
  • UX spec (flows, screens, interactions)
  • Any combination of the above

If the user hasn't completed upstream work, suggest they start with problem-framing or prd-generation first.

Workflow

Step 1: Gather Artifacts

Ask the user to provide their design artifacts. Accept any format—markdown, docs, images of sketches, bullet points.

Step 2: Extract Key Elements

From the provided artifacts, identify:

ElementSource
Project overviewProblem statement, target user
Core featuresPRD, solution scope
User flowsUX spec
Screen/component descriptionsUX spec
Interactions & statesUX spec
Tech preferencesUser input or infer from context
ConstraintsMVP scope, what's out
Success criteriaProblem framing, PRD

Step 3: Clarify Gaps

If critical information is missing, ask targeted questions:

  • "What tech stack do you want? (React, vanilla JS, etc.)"
  • "Any specific libraries or frameworks to use or avoid?"
  • "Mobile-first, desktop-first, or responsive?"
  • "Any authentication or data persistence needs?"

Keep questions minimal—infer where possible.

Step 4: Decompose Into Prompts

Break the project into a logical sequence. Typical prompt sequence:

  1. Project setup — scaffold, dependencies, config
  2. Data/state foundation — types, schemas, state structure
  3. Core component(s) — one prompt per major component or screen
  4. Feature implementation — one prompt per feature
  5. Integration — connect components, wire up flows
  6. Polish — error states, loading states, edge cases
  7. Final review — cleanup, optimization, documentation

Adapt based on project complexity. Simple projects might be 3-4 prompts. Complex ones might be 10+.

Step 5: Generate prompts.md

Output a single file the user can reference as they work through Claude Code.

Output Format

Automatically save the output to prompts.md (in project root) using the Write tool while presenting it to the user.

# [Project Name] — Development Prompts

## Context
[2-3 sentences: what this is, who it's for, core problem it solves]

**Tech stack:** [framework, styling, key libraries]
**Key constraints:** [what's in/out of scope]

---

## Prompt 1: Project Setup
> [Prompt text the user pastes into Claude Code]

**Goal:** [What this accomplishes]
**Checkpoint:** [How to verify it worked before moving on]

---

## Prompt 2: [Name]
> [Prompt text]

**Goal:** [What this accomplishes]
**Checkpoint:** [How to verify]

---

## Prompt 3: [Name]
> [Prompt text]

**Goal:** [What this accomplishes]
**Checkpoint:** [How to verify]

---

[Continue for all prompts...]

---

## Final Checklist
- [ ] [Success criterion 1]
- [ ] [Success criterion 2]
- [ ] [Success criterion 3]

Prompt Writing Guidelines

Each prompt should:

  • Be self-contained — agent shouldn't need to read previous prompts
  • Reference existing files — "In src/components/Header.jsx, add..."
  • Specify acceptance criteria — what "done" looks like
  • Stay focused — one logical unit of work

Good prompt:

"Create a TaskList component in src/components/TaskList.jsx that displays an array of tasks. Each task shows a title, due date, and completion checkbox. Clicking the checkbox toggles completion state. Use Tailwind for styling. The component receives tasks as a prop."

Bad prompt:

"Build the task management features."

Adaptation Guidelines

Simple project (3-5 prompts):

  • Setup → Core UI → Features → Polish

Medium project (5-8 prompts):

  • Setup → Data layer → Screen 1 → Screen 2 → Feature A → Feature B → Integration → Polish

Complex project (10+ prompts):

  • Consider grouping into phases with phase summaries
  • Add dependency notes ("Run after Prompt 3")
  • Include rollback hints for risky steps

Handoff

After presenting the prompts, inform the user:

"Work through these prompts sequentially with Claude Code—each builds on the last. Check the checkpoint before moving to the next prompt."

Offer to:

  • Adjust prompt granularity (more/fewer steps)
  • Reorder sequence
  • Add detail to specific prompts

Note: File is automatically saved to prompts.md in the project root.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

27.68%
按下载量换算51

Gemini CLI

19.97%
按下载量换算37

Antigravity

18%
按下载量换算33

OpenCode

12.01%
按下载量换算22

Codex

8.36%
按下载量换算15

windsurf

3.71%
按下载量换算7

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。

来源信息

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