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replit-prompt重新提示

Agent Skill

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。

总安装

720

周安装

30

GitHub Stars

12

下载量

240
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

2

许可证

unknown

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:replit-prompt(重新提示)
来源仓库:https://github.com/sergio-bershadsky/ai
仓库路径:skills/replit-prompt
安装命令:
npx skills add https://github.com/sergio-bershadsky/ai --skill replit-prompt
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/sergio-bershadsky/ai --skill replit-prompt

简介

用于辅助提示词和工作流模板的整理。replit-prompt 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中规范输出格式或拆分步骤。
  • 使用时需保留业务约束,避免将示例当作硬规则。
  • 涉及自动执行时应明确确认权限边界和失败处理。
  • 安装方式:通过 npx skills add 从 GitHub 仓库安装。

SKILL.md

Replit Prompt Generator

Transform requirements into optimized prompts for Replit Agent that maximize AI understanding and minimize iterations.

When to Use

  • User wants to build something with Replit Agent
  • User needs to convert an idea into a Replit-ready prompt
  • User wants to improve an existing Replit prompt
  • User is preparing to start a new Replit project

Core Principles (Replit's Official Guidelines)

1. Checkpoint — Structure Iteratively

Break large goals into smaller, testable steps. Use checkpoints between phases.

2. Debug — Provide Detailed Context

Include exact error messages, relevant code snippets, and steps already attempted.

3. Discover — Ask for Suggestions

Request tool/library recommendations when unsure about approach.

4. Experiment — Iterate on Prompts

Refine requests by adjusting wording or adding detail.

5. Instruct — Use Positive Goals

Frame as "do this" rather than "don't do that".

6. Select — Focused Context

Provide relevant context only; avoid overwhelming with unrelated information.

7. Show — Concrete Examples

Reduce ambiguity with code snippets, mockups, or reference apps.

8. Simplify — Concise Language

Use direct, short sentences. Avoid jargon.

9. Specify — Define Outputs

State expected outputs, constraints, data formats, and edge cases.

10. Test — Plan First

Outline features, data structures, and user flows before prompting.

Prompt Structure Template

When generating prompts for Replit, use this structure:

## Project Overview
[1-2 sentences: What is being built and its core purpose]

## Tech Stack
- Frontend: [specific framework/library]
- Backend: [specific framework/language]
- Database: [specific database]
- Authentication: [specific method]
- Additional: [any other required tools/APIs]

## Core Features
1. [Feature 1]: [specific description with expected behavior]
2. [Feature 2]: [specific description with expected behavior]
3. [Feature 3]: [specific description with expected behavior]

## UI/UX Requirements
- Design style: [modern/minimal/material/etc.]
- Color scheme: [specific colors or "neutral professional"]
- Layout: [sidebar/top-nav/dashboard/etc.]
- Responsive: [yes/no, breakpoints if specific]

## Data Model
[Describe main entities and their relationships]
- Entity1: field1, field2, field3
- Entity2: field1, field2 (relates to Entity1)

## User Flows
1. [Flow 1]: Step A → Step B → Step C → Result
2. [Flow 2]: Step A → Step B → Result

## Constraints
- [Constraint 1: e.g., "Must work offline"]
- [Constraint 2: e.g., "No external API calls except X"]

## Success Criteria
- [ ] [Specific testable criterion 1]
- [ ] [Specific testable criterion 2]
- [ ] [Specific testable criterion 3]

Procedure

Step 1: Gather Requirements

Ask the user about:

  1. What they want to build (core functionality)
  2. Who will use it (target users)
  3. How it should work (key user flows)
  4. Why (problem being solved)

If user provides vague input, ask clarifying questions:

  • "What should happen when a user clicks X?"
  • "Should data persist between sessions?"
  • "Any specific design/framework preferences?"

Step 2: Extract Technical Details

Determine from user input or ask about:

  • Preferred tech stack (or let Replit decide)
  • Authentication requirements
  • Data storage needs
  • Third-party integrations
  • Performance requirements

Step 3: Structure the Prompt

Transform gathered information into the structured template above.

Bad prompt transformation:

❌ Bad: "Make a website for my business"
✅ Good: "Create a portfolio website for a freelance photographer with:
- Home page with hero image carousel
- Gallery page with filterable photo categories
- Contact form with email integration
- About page with bio and testimonials
- Tech: React, TailwindCSS, EmailJS for form
- Design: Clean, minimal, lots of whitespace"

Step 4: Add Specificity

Enhance the prompt with:

  • Concrete examples: "Like Stripe's dashboard layout"
  • Specific behaviors: "Click 'Add' opens modal, not new page"
  • Edge cases: "If cart is empty, show 'Start shopping' CTA"
  • Validation rules: "Email must be valid format, password min 8 chars"

Step 5: Present Draft

Show the optimized prompt to the user:

## Replit Agent Prompt

**Optimized for:** [Build Mode / Plan Mode]
**Estimated complexity:** [Low / Medium / High]

---

[Generated prompt content]

---

**Recommendations:**
1. [Tip for using this prompt effectively]
2. [Suggested follow-up prompts after initial build]

Ready to copy to Replit?

Wait for user confirmation or modification requests.

Step 6: Provide Iteration Guidance

After delivering the prompt, advise on:

  • Using Plan Mode first for complex features
  • Setting up checkpoints between phases
  • Follow-up prompts for refinements

Output Format

## Replit Agent Prompt

**Mode:** Build / Plan
**Complexity:** Low / Medium / High

---

[Structured prompt following template]

---

## Next Steps

1. **Initial Build**: Copy prompt to Replit Agent
2. **After MVP**: [Suggested enhancement prompt]
3. **Testing**: [What to verify after build]

## Checkpoint Strategy

Phase 1: [Description] → Checkpoint
Phase 2: [Description] → Checkpoint
Phase 3: [Description] → Checkpoint

Bad vs Good Prompt Examples

IssueBad PromptGood Prompt
Vague"Fix my code""The login function in auth.js throws 'undefined user' on line 42 when email contains '+'"
No scope"Make a website""Create a 3-page portfolio: Home (hero, skills), Projects (grid with filters), Contact (form)"
Negative"Don't make it slow""Implement lazy loading for images, paginate lists to 20 items"
No detail"Add animation""Fade in hero text on page load over 0.5s, slide in cards from bottom on scroll"
Overwhelming"Build the entire backend""Implement user signup/login with JWT and a /api/profile GET endpoint"

Rules

  1. ALWAYS use positive framing — "Do X" not "Don't do Y"
  2. ALWAYS include tech stack — Even if "let Replit decide"
  3. ALWAYS define success criteria — Testable checkboxes
  4. ALWAYS break into phases — For anything beyond simple apps
  5. NEVER use vague terms — No "nice", "good", "fast", "modern" without specifics
  6. NEVER assume context — Replit Agent has no prior knowledge

Additional Resources

See reference files for detailed patterns:

  • references/examples.md — Full prompt examples for common app types
  • references/tech-stacks.md — Recommended tech stack combinations

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

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

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

Codex

33.07%
按下载量换算79

Claude

31.62%
按下载量换算76

Cursor

17.9%
按下载量换算43

Gemini CLI

8.7%
按下载量换算21

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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