Open source alternatives to scientific-problem-selection
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
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About scientific-problem-selection

scientific-problem-selection
Should be used when scientists need help
Scientific-problem-selection is an agent skill that helps researchers choose and rescue research problems through a structured conversation. It is based on Fischbach and Walsh's framework for problem choice and decision trees in science and engineering, published in Cell in 2024. The skill opens with three entry points. You can pitch an idea for a new project and have it worked up together, share a problem in a project that has stalled and troubleshoot it, or ask a strategic question and walk through the decision tree to find the next move. Each path is collaborative and starts where the scientist is, rather than handing over a fixed checklist. The skill is useful for scientists who are unsure whether a question is worth pursuing or why a project keeps stalling. It is part of Anthropic's knowledge-work plugins.
- Price
- Free
- Made by
- anthropics
- Category
- AI Skills
- Website
- github.com/anthropics/knowledge-work-plugins/scientific-problem-selection










