No Prompt
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.
Install
$ agentstack add skill-ilang-ai-ilang-openclaw-no-prompt ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-ilang-ai-ilang-openclaw-no-prompt) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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 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.
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 AIAI is better at writing prompts than you are. Let it.
What You Get
- Zero learning curve — Say what you want in your own words. AI does the rest.
- AI-to-AI communication — AI A writes the instruction, AI B executes it. Perfect handoff.
- Cross-platform — Instruction from ChatGPT works in Claude, Gemini, DeepSeek, Kimi, 豆包, 元宝.
- Better than hand-written prompts — Structured I-Lang instructions are more precise than human prose.
- 40-65% fewer tokens — Compressed instructions cost less to execute.
How to Use
- Copy the protocol text from this skill page
- Paste it into any AI conversation
- 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 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.
- 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
| 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 & 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 across major AIs.
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, iLang Inc., Canada.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: ilang-ai
- Source: ilang-ai/ilang-openclaw
- License: MIT
- Homepage: https://ilang.ai
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.