Open source alternatives to fine-tuning-expert
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G
github-ops
Launchgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
- O
opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
- A
andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
- M
microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
- O
od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G
github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
More AI Skills apps
modelcontextprotocol/server-memory
Knowledge graph-based persistent memory for maintaining context
netdata/netdata#Netdata
Discovery, exploration, reporting and root cause analysis over Netdata metrics
Learn Claude Code
by shareAI-lab - A really interesting analysis of how coding agents like Claude
About fine-tuning-expert
fine-tuning-expert
Fine-tuning LLMs, training custom models
fine-tuning-expert is an agent skill from the jeffallan claude-skills collection that helps a coding agent fine-tune large language models and adapt foundation models to specific tasks. It covers configuring parameter-efficient adapters such as LoRA and QLoRA, preparing data, training and evaluating, and deploying the result. Its workflow has checkpoints at each stage. Dataset preparation validates and formats the data, and the workflow requires the dataset validation script to report no errors before training begins. For method selection, LoRA is preferred for most tasks, QLoRA when GPU memory is limited, and full fine-tuning only for small models. During training the agent configures hyperparameters and watches the loss curves, and validation loss must fall, with a plateau or rise treated as a sign of overfitting. Evaluation benchmarks the tuned model against the base model on a held-out set and edge cases, collecting perplexity, task metrics such as BLEU or ROUGE, and latency. Deployment merges the adapter weights, quantises the model and measures inference throughput before serving. The skill is useful for ML engineers adapting open models. It is listed on skills.sh, where the page shows install counts and GitHub stars for the collection. Its Gen Agent Trust Hub audit is marked as failing, which the FAQ lists, and Socket shows a warning. Install it with npx skills add https://github.com/jeffallan/claude-skills --skill fine-tuning-expert.
- Price
- Free
- Made by
- jeffallan
- Category
- AI Skills
- Website
- github.com/jeffallan/claude-skills/fine-tuning-expert