com um clique
unsloth
Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
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Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
Poll RSS, JSON APIs, and GitHub with watermark dedup.
ASCII video: convert video/audio to colored ASCII MP4/GIF.
Plan, set up, and monitor a multi-agent video production pipeline backed by Nastech Kanban. Use when the user wants to make ANY video — narrative film, product/marketing, music video, explainer, ASCII/terminal art, abstract/generative loop, comic, 3D, real-time/installation — and the work warrants decomposition into specialized profiles (writer, designer, animator, renderer, voice, editor, etc.) coordinated through a kanban board. Performs adaptive discovery to scope the brief, designs an appropriate team for the requested style, generates the setup script that creates Nastech profiles + initial kanban task, then helps monitor execution and intervene when tasks stall or fail. Routes scenes to whichever Nastech rendering / audio / design skill fits each beat (`ascii-video`, `manim-video`, `p5js`, `comfyui`, `touchdesigner-mcp`, `blender-mcp`, `pixel-art`, `baoyu-comic`, `claude-design`, `excalidraw`, `songsee`, `heartmula`, …) plus external APIs for TTS, image-gen, and image-to-video as needed.
Play Pokemon via headless emulator + RAM reads.
Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).
Public-records OSINT investigation framework — SEC EDGAR filings, USAspending contracts, Senate lobbying, OFAC sanctions, ICIJ offshore leaks, NYC property records (ACRIS), OpenCorporates registries, CourtListener court records, Wayback Machine archives, Wikipedia + Wikidata, GDELT news monitoring. Entity resolution across sources, cross-link analysis, timing correlation, evidence chains. Python stdlib only.
| name | unsloth |
| description | Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM. |
| version | 1.0.0 |
| author | Orchestra Research |
| license | MIT |
| dependencies | ["unsloth","torch","transformers","trl","datasets","peft"] |
| platforms | ["linux","macos"] |
| metadata | {"nastech":{"tags":["Fine-Tuning","Unsloth","Fast Training","LoRA","QLoRA","Memory-Efficient","Optimization","Llama","Mistral","Gemma","Qwen"]}} |
Comprehensive assistance with unsloth development, generated from official documentation.
This skill should be triggered when:
Quick reference patterns will be added as you use the skill.
This skill includes comprehensive documentation in references/:
Use view to read specific reference files when detailed information is needed.
Start with the getting_started or tutorials reference files for foundational concepts.
Use the appropriate category reference file (api, guides, etc.) for detailed information.
The quick reference section above contains common patterns extracted from the official docs.
Organized documentation extracted from official sources. These files contain:
Add helper scripts here for common automation tasks.
Add templates, boilerplate, or example projects here.
To refresh this skill with updated documentation: