dataset-publishing

Publish local dataset artifacts to a Hugging Face dataset repo. Use when uploading a JSONL dataset, pushing a filtered dataset variant, syncing a matching .metadata.json sidecar, or renaming a dataset file in the target repo. This skill is about USING the checked-in dataset publish script via CLI — never ad hoc Python.

Ir para a instalação

Repositório: ProfSynapse/Synaptic-Tuner
Última atividade na origem: 12 de junho de 2026 às 14:36
Idioma detectado do SKILL.md: inglês
Estrelas: 26
Forks: 3

Opções de instalação

Por padrão, está selecionado o prompt que primeiro revisa a origem. Você pode mudar para um comando direto ou baixar uma cópia local.

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.

Um comando direto ignora o prompt de revisão. Verifique a origem antes de executá-lo.

npx skills add https://github.com/ProfSynapse/Synaptic-Tuner --skill dataset-publishing

O comando permanece em uma só linha. Role horizontalmente para revisá-lo antes de copiar.

Prefere uma cópia local? Baixe os arquivos disponíveis atualmente no SkillsMP.

Revise os arquivos de origem

Leia o SKILL.md e os arquivos complementares exibidos pelo SkillsMP antes de decidir se vai instalar.

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2 arquivos

SKILL.md

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Voltar à pesquisa Voltar à instalação

fine-tuning

Complete reference for the fine-tuning pipeline (SFT, KTO, GRPO), cloud HF Jobs workflows, autonomous experiment search, checkpoint evaluation, and LoRA surgery. Covers training CLI flags, YAML configuration, model presets, dataset requirements, LoRA settings, training monitoring, hyperparameter search, and post-training optimization. Use when training models, configuring training runs, choosing hyperparameters, running cloud experiments, inspecting HF jobs, or troubleshooting training issues. This skill is about USING the training system via CLI and YAML — never modifying source code.

2026-07-22

transcript-distillation

Turn local agent transcripts (Claude Code, Codex CLI, or any format with an adapter) into high-quality fine-tuning rows. Use when someone wants to mine their own coding-agent conversation logs into an SFT/KTO/DPO/GRPO dataset — parse the logs, extract substantive turns, scrub secrets, score each session by outcome (tests passed / built clean / committed / PR'd), dedup, and tier by quality. Config-driven and format-pluggable; point it at a transcript directory and it produces deduped, quality-tiered JSONL. This skill is about USING the checked-in distill engine via CLI + YAML.

2026-07-02

upload-deployment

Complete reference for model upload and deployment. Covers HuggingFace upload, save strategies (LoRA, merged 16-bit, merged 4-bit), GGUF conversion, model merging, model cards, and the full upload workflow. Use when uploading models, creating GGUF files, merging LoRA adapters, or deploying to HuggingFace. This skill is about USING the upload/deployment tools via CLI — never modifying source code.

2026-06-24

Ver todas deste repositório

name	dataset-publishing
description	Publish local dataset artifacts to a Hugging Face dataset repo. Use when uploading a JSONL dataset, pushing a filtered dataset variant, syncing a matching .metadata.json sidecar, or renaming a dataset file in the target repo. This skill is about USING the checked-in dataset publish script via CLI — never ad hoc Python.
allowed-tools	Read, Bash, Write, Grep, Glob