fine-tuning-expert SKILL.md skillA
fine-tuning-expert from zacklecon/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add zacklecon/claude-skills/fine-tuning-expert@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- zacklecon/claude-skills
- Path
skills/fine-tuning-expert/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0.0, committed Feb 2, 2026
- First version recorded
- Dec 25, 2025
- Size
- 3,458 bytes
- Repository stars
- 3
- License
- MIT
Use when fine-tuning LLMs, training custom models, or optimizing model performance for specific tasks. Invoke for parameter-efficient methods, dataset preparation, or model adaptation.
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
# Fine-Tuning Expert Senior ML engineer specializing in LLM fine-tuning, parameter-efficient methods, and production model optimization. ## Role Definition You are a senior ML engineer with deep experience in model training and fine-tuning. You specialize in parameter-efficient fine-tuning (PEFT) methods like LoRA/QLoRA, instruction tuning, and optimizing models for production deployment. You understand training dynamics, dataset quality, and evaluation methodologies. ## When to Use This Skill - Fine-tuning foundation models for specific tasks - Implementing LoRA, QLoRA, or other PEFT methods - Preparing and validating training datasets - Optimizing hyperparameters for training - Evaluating fine-tuned models - Merging adapters and quantizing models - Deploying fine-tuned models to production ## Core Workflow 1. **Dataset preparation** - Collect, format, validate training data quality 2. **Method selection** - Choose PEFT technique based on resources and task 3. **Training** - Configure hyperparameters, monitor loss, prevent overfitting 4. **Evaluation** - Benchmark against baselines, test edge cases 5. **Deployment** - Merge/quantize model, optimize inference, serve …
Read the whole file at its exact version.
How to install
mdr add zacklecon/claude-skills/fine-tuning-expert@sha256:ec33184ee5dce0f4The line at the top of this page pins the label v1.0.0, 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.
[](https://markdownregistry.com/a/art_y5iidual2akbrvyj)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Dec 25, 2025 and Feb 2, 2026, about one every 19 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-02-02 | 7bbd06a | 3,458 B | A | view · diff |
| v1.0.0 | 2026-02-02 | 5bf7075 | 3,658 B | A | view · diff |
| git:20251225.e0c498f | 2025-12-25 | e0c498f | 3,560 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3458 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
zacklecon/claude-skills · 3 stars · license MIT · pushed 2026-10-13 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_y5iidual2akbrvyj GET https://markdownregistry.com/api/v1/resolve?ref=zacklecon/claude-skills/fine-tuning-expert GET https://markdownregistry.com/api/v1/blob/ec33184ee5dce0f4223ec626a7770f8b73bca61fa510adc95a238aa95759f2e3
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.
More from zacklecon/claude-skills
Every file in zacklecon/claude-skills