Academic Research Skills

Problem

Many research-agent tasks cannot be covered by a single prompt. Literature organization, writing support, and workflow decomposition are often split across different tools. academic-research-skills packages a set of academic research-related skills into 4 sub-skill files, allowing an agent to load the relevant instructions by task stage instead of stuffing all requirements into one long system prompt.

How It Works

The collection is intended for multi-agent platforms. The listed compatible platforms include:

• Claude Code
• Codex
• Hermes Agent
• OpenClaw
• QClaw
• WorkBuddy

A practical usage pattern is: identify which stage of an academic research workflow the task belongs to, then select the matching sub-skill file; feed its constraints into the prompt or workflow; and mark terms, variables, or output fields where needed to make retrieval and reuse easier. Because the sub-skills are split into files, a team can replace one instruction file independently without changing the overall structure.

Boundaries

It is useful for engineers and researchers who want to decompose academic research workflows into reusable instructions, especially when running tasks on the listed agent platforms. It is not a database, paper repository, or citation manager, and it does not guarantee compliance with a specific institution's formatting rules. Results depend on the content of each sub-skill file, model capability, and the quality of external materials.