Open source alternatives to vision-sft
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G
github-ops
Getgithub-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
Getopensource-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
Getandrej-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
Getmarkitdown-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
Getod-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
Getgithub-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
MCP Toolbox for Databases
MCP Toolbox for Databases enables your agent to connect to your database
About vision-sft
vision-sft
Fine-tune vision-language models
vision-sft is an agent skill from the wshobson/agents collection for supervised fine-tuning of vision-language models (VLMs), which take images and text together. It is used when a model needs adapting to a visual domain or task, and the training data is image and text demonstrations. The skill is part of the wshobson fine-tuning sequence. The routing step is assumed to have chosen supervised fine-tuning on image and text data and a vision-language base model, rather than preference pairs, a verifiable reward, or a text-only model. It specializes the text-only LoRA and QLoRA recipe for the parts of a vision-language model that process images, the vision tower and the projector that connects it to the language model. The lora-qlora-recipes skill covers the LoRA fundamentals such as rank, alpha and target modules, and should be read first if they are not familiar. The skill covers configuring the training run for these parts of the model. It applies when adapting a VLM to a visual domain, configuring a supervised run on image and text data, and deciding which parts of the model to train. As with other fine-tuning, the results should be measured against a baseline on images the model has not seen, to confirm the adaptation helped. The skill is installed with the skills CLI from the wshobson/agents repository. Its skills.sh page showed about 2.3K installs and passing results from three security audits at the time of the scan.
- Price
- Free
- Made by
- wshobson
- Category
- AI Skills
- Website
- github.com/wshobson/agents/vision-sft