synthetic-data-finetuning-expert SKILL.md skillA

synthetic-data-finetuning-expert from roedyrustam/vibes-plug is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add roedyrustam/vibes-plug/synthetic-data-finetuning-expert@v4.2.1

Pins v4.2.1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
roedyrustam/vibes-plug
Path
skills/synthetic-data-finetuning-expert/SKILL.md
Versions recorded
7
Latest version
v4.2.1, committed Oct 8, 2026
First version recorded
Sep 10, 2026
Size
7,276 bytes
Repository stars
122
License
MIT

Expert guide for synthetic dataset generation, LLM-as-a-judge filtering, QLoRA fine-tuning (Unsloth), DPO alignment, and GGUF/Ollama export for local SLMs / Panduan ahli generasi data sintetis, fine-tuning QLoRA, DPO, dan ekspor GGUF/Ollama.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Synthetic Data & Fine-Tuning Expert (Custom Domain SLMs)

[English](#english) | [Bahasa Indonesia](#bahasa-indonesia)

---

<a name="english"></a>
## English

### Orchestration & Integration
Connects and orchestrates with domain skills like `local-slm-edge-ai-expert`, `ai-prompt-engineering-expert`, `python-programming-expert`, and `llm-finops-router` to build high-performance, cost-effective domain models.

### Description
Production-grade guide for generating synthetic training datasets, curating high-signal instruction pairs, executing Parameter-Efficient Fine-Tuning (QLoRA / LoRA) with **Unsloth** and Hugging Face TRL, performing Direct Preference Optimization (DPO), and quantizing custom Small Language Models (SLMs) to GGUF for edge or on-premise execution.

**Swarm Synergy:** Within the **AI Engineering Swarm**, this skill serves as the Model Specialization Lead. When frontier API costs or latency become prohibitive, it trains, aligns, and deploys hyper-efficient domain SLMs (1B–8B parameters) in Phase 4.

### Trigger Conditions
- Generating domain-specific synthetic training data from seed documents, codebases, or APIs.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add roedyrustam/vibes-plug/synthetic-data-finetuning-expert@sha256:e5275a2226eee49a

The line at the top of this page pins the label v4.2.1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_qwbz7tkffjloz5rl.svg)](https://markdownregistry.com/a/art_qwbz7tkffjloz5rl)

7 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 7 versions of this file, between Sep 10, 2026 and Oct 8, 2026, about one every 5 days.

versioncommittedcommitsizeaudit
v4.2.1 latest2026-10-08 e8e3cf1 7,276 BA view · diff
v4.2.02026-10-03 d8cca2a 7,276 BA view · diff
v4.1.02026-10-03 c9ad422 7,276 BA view · diff
v4.1.02026-10-03 8bb822a 7,346 BA view · diff
v4.0.02026-09-30 7be209a 7,349 BA view · diff
v3.0.02026-09-13 528c014 7,349 BA view · diff
git:20260910.6c68c3b2026-09-10 6c68c3b 7,178 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7276 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

roedyrustam/vibes-plug · 122 stars · license MIT · pushed 2026-11-07 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_qwbz7tkffjloz5rl
GET https://markdownregistry.com/api/v1/resolve?ref=roedyrustam/vibes-plug/synthetic-data-finetuning-expert
GET https://markdownregistry.com/api/v1/blob/e5275a2226eee49acea2f1e92c4225141f7da0d0a1312426227fe344abe93419

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in roedyrustam/vibes-plug

Other files named synthetic-data-finetuning-expert

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v4.7.0 · audit A · 122 stars

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