AI Agent Skills for Research
Browse reusable agent skills for research, synthesis, documentation, knowledge capture, and evidence-backed AI workflows.
Reusable skills turn ad hoc prompting into repeatable research workflows.
This cluster is built for analysts, operators, and technical teams that need reusable instructions for discovery, summarization, due diligence, and knowledge capture.
Top matches for research agent skills
These listings are pulled from the live catalog using category and keyword relevance signals.
Gemini CLI
Open-source AI agent bringing Google Gemini directly to terminal with ReAct loop and MCP support
Qwen CLI
AI-powered command-line tool for code analysis and editing with Qwen3-Coder model and MCP integration
Cursor CLI
Command-line interface for Cursor IDE to open files and manage projects from terminal
ROSS
AI systems promise to scale a lawyer's capabilities and capacity. Lets walk through how ROSS' AI Search makes that a reality.
Luminance
AI for document review and legal risk analysis in due diligence.
CoCounsel Legal (Thomson Reuters)
Intelligent legal AI assistant for law firms and attorneys.
Spellbook
AI contract drafting and review tool for lawyers and legal teams.
Harvey
AI-powered assistant for advanced legal research and drafting.
Unitree AlienGo
Advanced robotic dog.
SEMrush Writing Assistant
AI writing for SEO.
ProWritingAid
AI writing coach.
Phind
AI search for developers.
Reusable skills for this workflow
Operational instructions and reusable agent workflows that complement the tools above.
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
Guidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Helps with aesthetic direction, typography, and making choices that don't read as templated defaults.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like "make me a GIF of X doing Y for Slack.
News and articles tied to this use case
Context pages that help explain launches, workflow shifts, and the surrounding market.
Learn to build a robust visual document retrieval pipeline using ColPali and late interaction scoring. Resolve dependencies and optimize AI search results today.
blog
Discover Zyphra's ZUNA, a 380M-parameter foundation model for EEG data. Explore how this Apache-2.0 release advances noninvasive BCI and AI.
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Zyphra has released ZUNA, a 380M-parameter foundation model tailored for EEG signals to advance brain-computer interfaces. This open-source model utilizes a masked diffusion auto-encoder to improve signal processing and noninvasive thought-to-text applications.
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Microsoft's Copilot bug exposed confidential emails, raising critical questions about AI security and data privacy for enterprise users.
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Hugging Face announces a strategic partnership with Google Cloud, aiming to accelerate open‑source AI development and democratize access to cutting‑edge models. The collaboration will leverage Google Cloud’s robust infrastructure to scale Hugging Face’s open model hub and support new AI tools for developers worldwide.
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DeepMind unveils SIMA 2, a Gemini‑driven generalist agent that can navigate and reason in complex 3D game worlds. The system interprets instructions, plans, explains its actions, and learns through self‑play across diverse environments. It pushes the boundaries of embodied AI in virtual settings.
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