skills/no-prompt/SKILL.md
Stop learning prompt engineering. Tell AI what you want in plain language — AI writes a structured instruction for you in I-Lang. Copy it to other AIs as a well-structured starting point. Zero prompt skills needed. Generates text instructions only, no code, no install, no credentials. Results may vary by model.
npx skillsauth add ilang-ai/ilang-openclaw no-promptInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
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 a structured instruction for you. Copy that instruction to another AI as a starting point. Done.
This skill generates structured I-Lang instructions only. It does not execute commands, access files, or call external services. Generated instructions are well-structured prompts for other AIs — results may vary by model, so review before use on sensitive tasks.
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.
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 across major AIs.
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 follows the structured format. 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.
[SUM|sty=executive,ton=formal,fmt=md]=>[OUT][EVAL|key=bugs,quality]=>[SUM|sty=bullets]=>[OUT][DRAFT|ton=pro,len=short]=>[OUT][SUM|key=decisions,action_items,sty=bullets]=>[OUT][TRANSLATE|lang=zh,ton=natural]=>[FMT|fmt=md]=>[OUT]| Feature | Prompt engineering courses | Prompt optimizer tools | No Prompt | |---------|--------------------------|----------------------|-----------| | Learning time | Weeks/months | Hours | Zero | | Cost | $50-500 | Free-$20/mo | Free | | Install required | No | Often yes | No | | Remembering techniques | 58+ techniques | Tool-dependent | AI remembers for you | | Cross-platform | Depends | Usually single | Major AIs | | Token efficiency | Varies | Standard | 40-65% savings | | Who writes the prompt | You | Tool assists you | AI writes it for you |
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 across major AIs.
ChatGPT ✅ · Claude ✅ · Gemini ✅ · DeepSeek ✅ · Kimi ✅ · 豆包 ✅ · 元宝 ✅
MIT — Free to use, share, and build on.
© 2026 I-Lang Research, iLang Inc., Canada.
tools
微信公众号写作助手。200+篇实战验证的爆文结构引擎。你投喂素材,它输出MD文件+封面图提示词+自查报告。内置17条写作基因、品牌简称、平台合规、10项自查清单。不接受无素材请求,不是内容生成器。
tools
Save 40-65% tokens on summarization tasks. Compress verbose summary prompts into structured one-line instructions. Text-to-text translator only — no CLI, no API key, no install, no external dependencies. Works on ChatGPT, Claude, Gemini, DeepSeek, Kimi. Instruction-only, zero dependencies.
development
Lazarus — Bring dead websites back to life. Recover Google-indexed content from defunct websites via Wayback Machine, then deploy with AutoCode. Only recovers content that was actually indexed — no garbage. 捡尸复活已倒闭网站,只捡被谷歌收录过的内容,配合AutoCode一键部署。
data-ai
Compress natural language prompts into I-Lang — AI-native structured instructions. 40-65% token savings. Output is text notation only — review before passing to execution agents.