skills/43-wentorai-research-plugins/skills/domains/cs/SKILL.md
10 computer science skills. Trigger: algorithms, systems research, software engineering, security papers. Design: theory, complexity analysis, code-centric research, and security methods.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research cs-skillsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Select the skill matching the user's need, then read its SKILL.md.
| Skill | Description | |-------|-------------| | ai-security-papers-guide | AI security papers from top-4 security conferences | | algorithms-complexity-guide | Analyze algorithm complexity and computational efficiency for research | | code-llm-papers-guide | Survey and paper collection on LLMs for code generation | | dblp-api | Search computer science publications, authors, and venues via DBLP | | distributed-systems-guide | Distributed systems design patterns and analysis for CS research | | formal-verification-guide | Formal methods, theorem proving, and model checking for CS research | | gaussian-splatting-papers-guide | Curated papers and resources for 3D Gaussian Splatting | | llm-aiops-guide | Papers on LLMs for IT operations and AIOps research | | software-engineering-research | Guide to software engineering research topics and methodologies | | software-heritage-api | Archive and retrieve source code history via Software Heritage API |
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
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Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".