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Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
Passed 15 of 18 test cases with the skill, and 11 of 18 without it.
and 5 more in the full report
8 fixed10 passed either way0 still failing4 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
A legacy workflow requests file searching via 'search_files' to match file paths using wildcard patterns. Which tool handles path pattern matching in this setup?
| Checked | Without skill | With skill |
|---|---|---|
| Uses glob_search for file path matching | Missed | Passed |
The instructions your model reads when the skill loads.
This skill is repo-local and stays inactive until explicitly activated.
When the original instructions refer to legacy tool names, use these Kheish mappings:
terminal => bashweb_extract => web_fetch, plus web_search when discovery is neededsearch_files => grep_search and glob_searchbrowser_* tools require a browser-capable surfaced tool or MCP; if none is available, use the closest available surface and say so explicitlyWhen the instructions mention local helper files, resolve them from ${KHEISH_SKILL_DIR}.
Comprehensive assistance with unsloth development, generated from official documentation.
This skill should be triggered when:
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This skill includes comprehensive documentation in references/:
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test cases passed, vs 11 / 18 without
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