Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →notque/translate
Document translation: quick/normal/refined modes with chunked parallel subagents and glossary support.
Passed 17 of 21 test cases with the skill, and 12 of 21 without it.
and 3 more in the full report
5 fixed13 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
Give me a rough translation of this vendor notice into Italian: 'Payment terms are net 30 days from invoice receipt.' Keep processing lightweight.
| Checked | Without skill | With skill |
|---|---|---|
| The execution selects quick mode based on the request for a rough translation. | Missed | Passed |
The instructions your model reads when the skill loads.
Translate documents across languages using one of three modes: quick (single-pass), normal (analyze-then-translate), or refined (full four-step with polish). Core principle: rewrite as a skilled native writer, not word-for-word conversion.
| Signal | Load These Files | Why |
|---|---|---|
| Any translation task | references/modes.md | Mode detection, chunking algorithm, parallel dispatch pattern |
| "technical", "specialized", "glossary", "terms", or domain vocabulary in request | references/glossary-template.md | Glossary build, chunk injection, term-preservation rules |
Goal: Identify mode, language pair, and document scale before any translation work.
Step 1: Infer mode from request language
| Request contains | Mode |
|---|---|
| "quick", "fast", "draft", "rough" | quick |
| "professional", "publication-quality", "polished", "refined" | refined |
| anything else | normal (default) |
Step 2: Detect language pair
Step 3: Load references
references/modes.md for all modes.references/glossary-template.md when the request contains "technical", "specialized", "glossary", "terms", or a domain-specific vocabulary word.Step 4: Assess document size
references/modes.md).test cases passed, vs 12 / 21 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.