Datasets:

i-Lang
/

iLang-OpenClaw

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
name: string
version: string
description: string
author: string
homepage: string
repository: string
license: string
tags: list<item: string>
  child 0, item: string
input: string
output: string
saved: string
to
{'input': Value('string'), 'output': Value('string'), 'saved': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2281, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              name: string
              version: string
              description: string
              author: string
              homepage: string
              repository: string
              license: string
              tags: list<item: string>
                child 0, item: string
              input: string
              output: string
              saved: string
              to
              {'input': Value('string'), 'output': Value('string'), 'saved': Value('string')}
              because column names don't match

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🦞 I-Lang (I Language) Skills for OpenClaw

Like HTTP standardized the web, I-Lang standardizes how humans talk to AI.

[PROTOCOL:human-AI|compress=40-65%,compat=all-LLM]=>[ANSWER_ALL]=>[OUT]

🎯 One Line Summary

No CLI. No API key. No brew. No npm. No install. Copy a text block, paste into any AI, instant upgrade. Every skill is instruction-only with zero dependencies.

📦 Skills

🟢 everything-is-ok `v1.0.2` — 无所不能

Make any AI work better. Compress prompts, get complete answers, produce finished deliverables.

[SUM|sty=bullets,ton=pro,fmt=md]=>[OUT]    ← 75% fewer tokens, same result

→ Install on ClawHub

🟢 less-token `v1.0.2` — Save Tokens

Save 40-65% tokens on every summarization task. Compress verbose prompts into one-line instructions.

Verbose:    "Please summarize the key findings in professional bullet points"
Compressed: [SUM|key=findings,sty=bullets,ton=pro]=>[OUT]
Saved:      77%

→ Install on ClawHub

🟢 no-prompt `v1.0.0` — End of Prompt Engineering

Stop learning 58 prompt techniques. Tell AI what you want in plain language — AI writes the perfect structured instruction for you.

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

→ Install on ClawHub

🟢 ilang-compress `v2.3.1` — Original Compression

The original I-Lang compression skill. Translate any natural language prompt into I-Lang syntax.

→ Install on ClawHub

⚡ Quick Start

Step 1: Pick a skill above
Step 2: Copy the protocol text from its skill page
Step 3: Paste into any AI conversation
Step 4: Done. Your AI is upgraded.

No terminal. No config. No restart. Works inside OpenClaw and outside — any AI, any platform.

🔄 How It's Different

┌──────────────────────────────────────────────────────────────┐
│  Traditional Skills                                          │
│  brew install → config API key → restart agent → use         │
│  ❌ Single platform  ❌ Dependencies  ❌ Setup time           │
├──────────────────────────────────────────────────────────────┤
│  I-Lang Skills                                               │
│  copy text → paste into AI → use                             │
│  ✅ Every platform   ✅ Zero deps     ✅ 30 seconds           │
└──────────────────────────────────────────────────────────────┘

🔒 Security

All skills pass ClawHub security scan with Benign — High Confidence:

✅ Instruction-only — no code, no scripts, no binaries
✅ Zero credentials — no API keys, no env vars, no tokens
✅ Zero network access — no URLs fetched, no external calls
✅ Text-to-text translator — converts natural language to structured syntax, nothing more

✅ Compatible Platforms

Platform	Tested	Platform	Tested
ChatGPT	✅	Kimi	✅
Claude	✅	豆包	✅
Gemini	✅	元宝	✅
DeepSeek	✅	Any LLM	✅

📊 Before & After

Task	Before	After	Saved
Summarize document	67 words	`[SUM\|sty=bullets,ton=pro,fmt=md]=>[OUT]`	75%
Rewrite professionally	22 words	`[REWRITE\|ton=pro]=>[OUT]`	82%
Compare & recommend	58 words	`[CMP]=>[EVAL]=>[RANK]=>[OUT\|fmt=md]`	85%
Translate + format	38 words	`[TRANSLATE\|lang=zh]=>[FMT\|fmt=md]=>[OUT]`	68%

🌐 Ecosystem

Resource	Link
🌐 Protocol & Tools	ilang.ai
🔬 Research & Papers	research.ilang.ai
👁 AI See — Give AI Eyes	i.ilang.ai
📖 Full Dictionary	ilang-dict — 52 verbs, 28 modifiers, 14 entities

📜 License

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

Downloads last month: 49

Total file size:

31.5 kB

🦞 I-Lang (I Language) Skills for OpenClaw

🎯 One Line Summary

📦 Skills

🟢 everything-is-ok v1.0.2 — 无所不能

🟢 less-token v1.0.2 — Save Tokens

🟢 no-prompt v1.0.0 — End of Prompt Engineering

🟢 ilang-compress v2.3.1 — Original Compression

⚡ Quick Start

🔄 How It's Different

🔒 Security

✅ Compatible Platforms

📊 Before & After

🌐 Ecosystem

📜 License

🟢 everything-is-ok `v1.0.2` — 无所不能

🟢 less-token `v1.0.2` — Save Tokens

🟢 no-prompt `v1.0.0` — End of Prompt Engineering

🟢 ilang-compress `v2.3.1` — Original Compression