Summary
If you're doing computational research and want to automate the grunt work from hypothesis to LaTeX paper, this is worth checking out. It chains together specialized agents to handle data analysis, methodology development, literature search, and journal-formatted writing. Built on AG2 and LangGraph, so you get proper multiagent orchestration. You can let it run the full pipeline or drop in at any stage with your own ideas or results. The Journal.APS formatting is nice if you're publishing in physics. Requires Python 3.12+ and API keys for your LLM provider. The GUI exists but the programmatic workflow is where this shines for reproducible research pipelines.
Install to Claude Code
npx -y skills add davila7/claude-code-templates --skill denario --agent claude-codeInstalls into .claude/skills of the current project.
Plug Mailtrap into your AI workflow and let it handle the email.
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Agent, run crypto. Access onchain data & trade routes via 1inch.
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Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
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Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
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Integrate web data into your AI product. One API to scrape website & brand data.
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belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
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Files
SKILL.md
Select a file.
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →First SeenJun 3, 2026
