unsloth
Skill1.3k starsChanged 8 months agoMITView on GitHub
Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 4 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 36
Use view to read specific reference files when detailed information is needed.
- Distinctive: line 41
Start with the getting_started or tutorials reference files for foundational concepts.
- Distinctive: line 44
Use the appropriate category reference file (api, guides, etc.) for detailed information.
- Distinctive: line 59
Add helper scripts here for common automation tasks.
- Distinctive: line 62
Add templates, boilerplate, or example projects here.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Unsloth Skill
Comprehensive assistance with unsloth development, generated from official documentation.
When to Use This Skill
This skill should be triggered when:
- Working with unsloth
- Asking about unsloth features or APIs
- Implementing unsloth solutions
- Debugging unsloth code
- Learning unsloth best practices
Quick Reference
Common Patterns
Quick reference patterns will be added as you use the skill.
Reference Files
This skill includes comprehensive documentation in references/:
- llms-txt.md - Llms-Txt documentation
Use view to read specific reference files when detailed information is needed.
Working with This Skill
For Beginners
Start with the getting_started or tutorials reference files for foundational concepts.
For Specific Features
Use the appropriate category reference file (api, guides, etc.) for detailed information.
For Code Examples
The quick reference section above contains common patterns extracted from the official docs.
Resources
references/
Organized documentation extracted from official sources. These files contain:
- Detailed explanations
- Code examples with language annotations
- Links to original documentation
- Table of contents for quick navigation
scripts/
Add helper scripts here for common automation tasks.
assets/
Add templates, boilerplate, or example projects here.
Notes
- This skill was automatically generated from official documentation
- Reference files preserve the structure and examples from source docs
- Code examples include language detection for better syntax highlighting
- Quick reference patterns are extracted from common usage examples in the docs
Updating
To refresh this skill with updated documentation:
- Re-run the scraper with the same configuration
- The skill will be rebuilt with the latest information
<!-- Trigger re-upload 1763621536 -->Trending
More talk lately.thin dataabout the whole repository
Who's talking about OpenRaiser/NanoResearch
- ProSkillsMD/proskills“[Candidate] openraiser/nanoresearch/skills/nanoresearch-planning - nanoresearch-planning”GitHub · Oct 10, 2026
- ProSkillsMD/proskills“[Candidate] openraiser/nanoresearch/skills/nanoresearch-ideation - nanoresearch-ideation”GitHub · Oct 10, 2026
- ProSkillsMD/proskills“[Candidate] openraiser/nanoresearch/skills/nanoresearch-experiment - nanoresearch-experiment”GitHub · Oct 10, 2026
- sudosubin/agents.nix“agent-skills.github.openraiser.nanoresearch: init at 0-unstable-2026-03-19”GitHub · Sep 30, 2026
- xlibraries/agent-hub“Agent Hub — Phase 5 — Research + RAG Systems”GitHub · May 24, 2026
The biggest 5 of 6 mentions linking to the repository that our crawl found. Each line is their own headline.
See all 6
Talked about on GitHub (6 times).
On GitHub · 6
- Oct 10, 2026[Candidate] openraiser/nanoresearch/skills/nanoresearch-planning - nanoresearch-planning — ProSkillsMD/proskills0 reactions · 1 comment
- Oct 10, 2026[Candidate] openraiser/nanoresearch/skills/nanoresearch-ideation - nanoresearch-ideation — ProSkillsMD/proskills0 reactions · 1 comment
- Oct 10, 2026[Candidate] openraiser/nanoresearch/skills/nanoresearch-experiment - nanoresearch-experiment — ProSkillsMD/proskills0 reactions · 1 comment
- Sep 30, 2026agent-skills.github.openraiser.nanoresearch: init at 0-unstable-2026-03-19 — sudosubin/agents.nix0 reactions
- May 24, 2026Agent Hub — Phase 5 — Research + RAG Systems — xlibraries/agent-hub0 reactions
1 more on GitHub
- Apr 18, 2026Audit candidate: OpenRaiser/NanoResearch — xiaolai/nlpm0 reactions · 2 comments
Other versions4 projects use a version of this.
Word for word · 3
- yuchenmiao04/My_skills★ 8100% same
- Clay-HHK/claude-skills★ 1100% same
- mhiskall282/Securing-the-Digital-Mine-UNESCO-Project★ 1100% same
Edited · 0
None found.
Wrote their own version · 1
- magnus919/agent-skills★ 162same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository17 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- nanoresearch-experimentSkill
- nanoresearch-ideationSkill
- nanoresearch-planningSkill
- nanoresearch-writingSkill
- autoresearchSkill
- academic-plottingSkill
- huggingface-accelerateSkill
- brainstorming-research-ideasSkill
- creative-thinking-for-researchSkill
- evaluating-llms-harnessSkill
- ml-paper-writingSkill
- ml-training-recipesSkill
- peft-fine-tuningSkill
- ray-dataSkill
- skypilot-multi-cloud-orchestrationSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

