Production-grade scaffold with AGENTS.md/SKILL.md, 10-stage DAG pipelines, and cryptographic provenance.
Reproducible Research is worth checking the docs before setup with trust notes worth reviewing. Check agent compatibility and use-case fit before adding it to your workflow.
Repository setup guidance
gh repo clone docxology/templateOpen or clone the template repository.
Move the relevant AGENTS.md content into your project root.
Update project-specific commands, environment rules, and sensitive areas.
Shows how serious academic workflows integrate AI agents with reproducibility guarantees.
Production-grade scaffold with AGENTS.md/SKILL.md, 10-stage DAG pipelines, and cryptographic provenance.
Looks usable, but maintenance, license, or security notes deserve a closer look.
Last commit was about 148 days ago.
12 GitHub stars indicate community interest.
1 open issues signal maintenance load.
MIT license detected.
Research pipeline automation
Reproducible workflows
Academic workflow — adapt for production use
12
Stars
2
Forks
1
Issues
MIT
License
An MCP server that exposes llms.txt files to IDEs for context-aware development.
Optimize markdown documentation for LLMs and RAG systems, reducing token consumption by 67-95%.
Turn OpenAPI, MCP, Doxygen, godoc, rustdoc, and Markdown into static documentation sites you own.
Production-grade scaffold with AGENTS.md/SKILL.md, 10-stage DAG pipelines, and cryptographic provenance.
Researchers, Data Scientists
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Academic workflow — adapt for production use
Similar or complementary options to evaluate include mcpdoc, llm-docs-builder, sourcey.
May 31, 2026
1 security/trust notes recorded.
Setup difficulty is 4/5.