Convert academic multi-agent research papers into Aura OS skill configurations.
npx skills add https://github.com/zc6600/aura --skill paper2skill
Please help me install this Agent Skill. Skill: paper2skill Source: https://github.com/zc6600/aura/tree/main/skills/paper2skill Command: npx skills add https://github.com/zc6600/aura --skill paper2skill
This skill solves the challenge of manually implementing complex multi-agent research papers by automating the extraction of roles, tools, and interaction logic into functional code.
Run the paper2skill command by providing the path to your research paper and a name for the new skill you wish to generate.
High-intent search queries and answers about installing and using this skill.
To convert academic research papers into executable agent skills, this tool parses PDFs to extract agent personas, interaction topologies, and toolsets, then compiles them into functional Aura OS skill configurations and persona definitions.
Yes, you can generate multi-agent system code from a research paper by automatically extracting roles, tools, and interaction logic, which scaffolds the necessary tool interfaces and orchestration logic for rapid prototyping.
To turn multi-agent research into skill configurations, you need subagent, plan_task, write_file, and read_file capabilities to perform end-to-end skill compilation and generate structured orchestration logic.
It works with proprietary research methods by attempting to scaffold missing capabilities, generating mock tools or interface logic to facilitate the rapid prototyping of agentic workflows.
The best way to extract agent personas and interaction topologies from PDFs is through cognitive extraction, which automatically parses academic documents to identify required toolsets and generate structured system prompts.
A limitation is that tool synthesis attempts to scaffold missing capabilities by generating mock tools or interface logic, which may require manual refinement for proprietary research methods to function correctly in production.
marcusrbrownBuild agent-native systems with atomic primitives and prompt-driven orchestration.
tsuna44Validate Claude Code agent definitions for structural and operational correctness.
DalimovichCreate, train, and deploy reinforcement learning plugins for autonomous agents.
queeliusLaunch a multi-agent editorial review of research papers and update state files.
