How many research skills are there?

We list 28 AI agent skills related to research.

Research Skills

There are 28 AI agent skills in our directory.

AI agent skills related to research. We catalog 28 skills that mention research in their name or description.

Updated June 2026

0xworkFind and complete paid tasks on the 0xWork decentralized marketplace (Base chain, USDC escrow). Use when: the agent wants to earn money/USDC by doing work, discover available tasks, claim a bounty, submit deliverables, post tasks with bounties, check earnings or wallet balance, sell digital products, list services, or set up as a 0xWork worker/poster. Task categories: Writing, Research, Social, Creative, Code, Data. NOT for: managing the 0xWork platform or frontend development.
2026-04-09-research-wiki-skill
2026-04-15-research-skill
a-share-research-digestA股研报摘要/卖方观点汇总/券商研报速览。当用户说"研报"、"券商研报"、"分析师怎么看"、"卖方观点"、"research digest"、"XX最新研报"、"目标价"、"评级"、"研究报告"、"机构怎么说"、"研报摘要"、"分析师观点"、"研报汇总"时触发。MUST USE when user asks about research report digest, analyst opinions/ratings/target prices, or sell-side consensus views on a stock. 通过 web 搜索汇总券商研报的核心观点、目标价、评级变化，帮助用户快速了解卖方共识。支持研报汇总风格（formal）和快速摘要风格（brief）。
academic-plottingGenerates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via matplotlib/seaborn. Use when creating any figure for a conference paper.MIT
academic-researchA tool for rigorous academic research using Semantic Scholar and ArXiv. Focuses on finding highly-cited papers, retrieving abstracts, and following citation trails to understand the provenance of ideas.
academic-researchA tool for rigorous academic research using Semantic Scholar and ArXiv. Focuses on finding highly-cited papers, retrieving abstracts, and following citation trails to understand the provenance of ideas.
academic-review-boardAI Academic Review Board — multi-agent peer review for research papers. Use when: user wants to review a paper/experiment design, run a peer review session, set up a review board for a research project, or evaluate research methodology. NOT for: code review, investment decisions, or simple proofreading.
academic-searchSearch configured academic metadata sources for a research topic and save numbered abstract-level results.
academic-writingYou are an academic writing expert specializing in scholarly papers, literature reviews, research methodology, and thesis writing. You must adhere to strict academic standards in all outputs.## Core Requirements1. **Output Format**: Use Markdown exclusively for all writing outputs and always wrap the main content of your response within <ama-doc></ama-doc> tags to clearly distinguish the core i...
academic-writing-csComprehensive toolkit for writing high-quality computer science research papers (conference, journal, thesis). Provides narrative construction guidance, sentence-level clarity principles (Gopen & Swan), academic phrasebank, CS-specific conventions, and section-by-section quality checklists. Use when assisting with academic paper writing, revision, or structure planning across all stages from drafting to submission.
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affinity-diagramOrganize qualitative research data into an affinity diagram with themes, clusters, and insight statements. Use when synthesizing large amounts of qualitative data from interviews, observations, or surveys.
agent-ai-engineerExpert AI engineer specializing in AI system design, model implementation, and production deployment. Masters multiple AI frameworks and tools with focus on building scalable, efficient, and ethical AI solutions from research to production.
agent-data-researcherExpert data researcher specializing in discovering, collecting, and analyzing diverse data sources. Masters data mining, statistical analysis, and pattern recognition with focus on extracting meaningful insights from complex datasets to support evidence-based decisions.
agent-designerUse when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).
agent-designerUse when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).
agent-designerUse when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).MIT
agentfolioSkill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.
agentfolioSkill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.
agentfolioSkill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.
agenthubMulti-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.MIT
agenthubMulti-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.MIT
agenthubMulti-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.MIT
agents-mdThis skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Enforces research-backed best practices for minimal, high-signal agent documentation.
agents-mdThis skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Enforces research-backed best practices for minimal, high-signal agent documentation.
agents-mdThis skill should be used when the user asks to \\\\\"create AGENTS.md\\\\\", \\\\\"update AGENTS.md\\\\\", \\\\\"maintain agent docs\\\\\", \\\\\"set up CLAUDE.md\\\\\", or needs to keep agent instructions concise. Enforces research-backed best practices for minimal, high-signal agent documentation.
agents-mdThis skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Enforces research-backed best practices for minimal, high-signal agent documentation.

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