Ask the Same Question Across Languages
Run identical analysis prompts in Arabic and English to catch what each language reveals
Kimi handles Arabic well, but direct translation of English prompts often produces different analysis structures and misses cultural context in the source material. You end up with two versions that look similar but highlight different findings, making it hard to trust either one.
That is the gap this drop closes. It is a data & analysis skill built for Kimi, and it takes about ten minutes to set up the first time. After that it runs in under a minute.
Who should use it
Analysts working with Arabic reports, contracts, or market research who need consistent outputs in both languages
How it works
The skill file does five things, in this order.
1. Write the analysis frame first. Define the exact categories, themes or metrics you want extracted before you touch any language-specific wording.
2. Build the Arabic prompt natively. Write the Arabic version from scratch using natural phrasing, not by translating the English prompt word for word.
3. Specify output format identically. Use the same section headers, numbering and table structure in both prompts so you can compare outputs directly.
4. Run both, then compare gaps. Feed the same file to both prompts and look for what each language version caught or missed.
5. Ask Kimi why they differ. Paste both outputs into a new thread and ask Kimi to explain discrepancies, especially where cultural or legal nuance matters.
What comes back
Two analysis reports with matching structure but language-specific insight, plus a short reconciliation note explaining where and why they diverge
The mistake to avoid
Arabic corporate documents often layer formal tone over key details that English prompts tune out as boilerplate. Running the Arabic prompt separately lets Kimi weigh those phrases properly instead of skimming them as filler.
Running it
Paste the prompt block into a new Kimi chat and attach your files in the same message. Kimi's long context means you should upload everything at once rather than in batches, splitting the input is what causes it to lose cross-references between documents.
Where this fits
On its own, one skill saves an hour a week. The compounding happens when three or four of them run in sequence on the same input, the same transcript that produces a scope of work also produces the follow-up email and the project brief. That is the point at which it stops being a prompt and starts being an internal tool. If you want that wired into the systems your team already uses, that is the work 67 Digital does.
In the file
You are analysing a document to extract insights on {theme or metric}.
Structure your response exactly as follows:
1. Executive summary
2. Key findings (numbered list, minimum {number})
3. Data points (table with columns: {column names})
4. Risks or gaps identified
5. Recommendations
Focus on {specific angle, e.g. financial commitments, compliance requirements, market assumptions}.
Where the document uses formal or legal phrasing, interpret the substance behind the language rather than summarising the wording.
If any section lacks sufficient information in the source material, state that clearly instead of inferring.
Highlight any statements that conflict with each other or leave room for multiple interpretations.
Document title: {title}
[Paste or upload document content here]