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Agent Skill · 研究检索

replit-prompt(重新提示)

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。

replit-prompt 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 47,767。

总安装 720周安装 30GitHub Stars 12下载 240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: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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

来源仓库内路径:skills/replit-prompt

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/sergio-bershadsky/ai --skill replit-prompt;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

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

replit-prompt 怎么安装?

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

replit-prompt 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。

replit-prompt 需要什么权限?

权限级别是调用外部服务。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。

replit-prompt 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。

replit-prompt 用的人多吗?

公开数据是累计安装 720 次,近一周安装 30 次,下载 240 次,GitHub 12 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。

replit-prompt 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。

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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
replit-prompt

重新提示 · 本页

72012调用外部服务未明确通过

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

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

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

调用外部服务

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。目前只有一个公开来源,建议同时核对源仓库。

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