Open source alternatives to bids
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
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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
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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
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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
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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
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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
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About bids

bids
Organizes, queries, validates, and converts Brain Imaging Data Structure
bids is an agent skill for organising, querying, validating and converting datasets that follow the Brain Imaging Data Structure, known as BIDS. BIDS is a community standard for organising neuroscience and biomedical research data, with a consistent file naming convention, directory hierarchy and metadata schema, so that people and software can read a dataset straight away. The skill follows the specification, reviewed against version 1.11.2. BIDS began with MRI but now covers 11 modalities, including PET, microscopy, EEG, MEG, intracranial EEG, EMG, near-infrared spectroscopy, motion capture, behavioural data and MR spectroscopy. The Python tools it uses are PyBIDS for querying and indexing datasets, and the bids-validator for compliance checking. Conversion from DICOM is usually done with HeuDiConv, dcm2bids or BIDScoin. The skill also notes that repository submission rules differ by modality and archive, so you should check the target archive before preparing a deposit. Use it when you are organising or checking a neuroscience dataset. The skill is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/bids










