Open source alternatives to ai-research-explore
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
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About ai-research-explore
ai-research-explore
Rigor Explore compatible skill slug for meaningful
ai-research-explore is an agent skill from the rigorpilot-skills collection for exploring candidate deep learning research ideas with scientific rigor. It is the Rigor Explore skill, and its installed name stays ai-research-explore for compatibility. The skill is meant for use after a researcher has picked a task family and explicitly authorized candidate-only work on top of a durable research anchor. It aims at meaningful and potentially novel research candidates while keeping comparability, reproducibility and an auditable record of the collaboration. The skill is careful about what it claims. It treats novelty and significance as hypotheses to be tested against the literature, ablation evidence and fair comparison, and it does not promise autonomous discovery, complete coverage of a benchmark, proof of novelty or a reproduction that will succeed. Before it works it points the assistant to shared operating principles and to the research-rigor and deep-learning experiment references, which matter when experiment details affect whether results can be compared. It suits researchers who want an agent to propose and check candidate ideas under explicit rules rather than run open-ended experiments. The skill's listing shows about 319,000 installs on skills.sh, with Gen Agent Trust Hub, Socket and Snyk each showing a warning. Install it with npx skills add https://github.com/lllllllama/rigorpilot-skills --skill ai-research-explore.
- Price
- Free
- Made by
- lllllllama
- Category
- AI Skills
- Website
- github.com/lllllllama/rigorpilot-skills/ai-research-explore