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no-prompt没有提示

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

6,680

周安装

284

GitHub Stars

公开资料未说明

下载量

2,340
OpenClaw

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

MIT-0

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:no-prompt(没有提示)
来源仓库:https://github.com/adsorgcn/no-prompt
安装命令:
openclaw skills install no-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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install no-prompt

简介

停止学习提示工程,用简单语言生成完美指令。

  • 适合优化 Agent 行为约束和工作流模板。
  • 使用 I-Lang 生成跨 AI 平台的通用指令。
  • 避免过度工程化,保持自然语言表达。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • no-prompt 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
no-prompt
description
Stop learning prompt engineering. Tell AI what you want in plain language — AI writes the perfect instruction for you in I-Lang. Copy it to any other AI, it executes perfectly. Zero prompt skills needed. Text-to-text translator only, no code, no install, no credentials.
version
1.0.0
author
ilang-ai
homepage
https://ilang.ai
tags

No Prompt

Stop learning prompt engineering. You don't need 58 techniques. You don't need courses. You don't need to study.

Just tell your AI what you want in plain language. It writes the perfect structured instruction for you. Copy that instruction to any other AI. Done.

This skill is a text-to-text translator only. It does not execute commands, access files, or call external services.

The Idea

Old way:  Human learns prompt engineering → writes optimized prompt → sends to AI
No Prompt: Human says what they want → AI writes I-Lang instruction → copy to any AI

AI is better at writing prompts than you are. Let it.

What You Get

  1. Zero learning curve — Say what you want in your own words. AI does the rest.
  2. AI-to-AI communication — AI A writes the instruction, AI B executes it. Perfect handoff.
  3. Cross-platform — Instruction from ChatGPT works in Claude, Gemini, DeepSeek, Kimi, 豆包, 元宝.
  4. Better than hand-written prompts — Structured I-Lang instructions are more precise than human prose.
  5. 40-65% fewer tokens — Compressed instructions cost less to execute.

How to Use

  1. Copy the protocol text from this skill page
  2. Paste it into any AI conversation
  3. AI responds — ready to generate instructions

Three Ways to Use

Way 1: Generate instructions for yourself

Say: "I want to summarize a long article into 5 key takeaways in professional tone"

AI returns:

[SUM|key=takeaways,cnt=5,ton=pro]=>[OUT]

Copy this. Use it anytime you need the same task. Works on every AI.

Way 2: AI-to-AI handoff

Tell AI A: "Write me an I-Lang instruction that makes another AI compare two business strategies and recommend the better one"

AI A returns:

[CMP|key=strategy]=>[EVAL|ton=pro]=>[RANK]=>[OUT|fmt=md]

Paste into AI B. AI B executes it perfectly. Two AIs, one language.

Way 3: Build a personal instruction library

Ask AI to generate I-Lang instructions for tasks you do repeatedly. Save them. Reuse forever.

  • Weekly report: [SUM|sty=executive,ton=formal,fmt=md]=>[OUT]
  • Code review: [EVAL|key=bugs,quality]=>[SUM|sty=bullets]=>[OUT]
  • Email draft: [DRAFT|ton=pro,len=short]=>[OUT]
  • Meeting notes: [SUM|key=decisions,action_items,sty=bullets]=>[OUT]
  • Translation: [TRANSLATE|lang=zh,ton=natural]=>[FMT|fmt=md]=>[OUT]

Comparison

FeaturePrompt engineering coursesPrompt optimizer toolsNo Prompt
Learning timeWeeks/monthsHoursZero
Cost$50-500Free-$20/moFree
Install requiredNoOften yesNo
Remembering techniques58+ techniquesTool-dependentAI remembers for you
Cross-platformDependsUsually singleEvery AI
Token efficiencyVariesStandard40-65% savings
Who writes the promptYouTool assists youAI writes it for you

Before & After

Before (you writing a prompt manually):

I need you to act as an expert analyst. Please carefully read through the following two business proposals. Compare them point by point across these dimensions: cost, timeline, risk, team requirements, and expected ROI. Then provide your professional recommendation with detailed reasoning for which proposal is stronger overall.

After (AI-generated I-Lang):

[CMP|key=cost,timeline,risk,team,ROI]=>[EVAL|ton=pro]=>[RANK]=>[OUT|fmt=md]

85% fewer tokens. More precise. Works on every AI.

Tested Platforms

ChatGPT ✅ · Claude ✅ · Gemini ✅ · DeepSeek ✅ · Kimi ✅ · 豆包 ✅ · 元宝 ✅

Links

  • Protocol & tools: https://ilang.ai
  • Full dictionary: https://github.com/ilang-ai/ilang-dict
  • Research: https://research.ilang.ai

License

MIT — Free to use, share, and build on.

© 2026 I-Lang Research, Eastsoft Inc., Canada.

适合场景

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能力 3

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能力 4

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能力 5

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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

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按下载量换算2,274

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