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Research & Knowledge
Agents for research, retrieval, memory, knowledge bases, RAG, GraphRAG, and long-context synthesis.
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Collect and synthesize source-backed research.
- Build reusable knowledge assets.
- Preserve citations and assumptions for review.
Recommended trials and bundles
This skill enables dynamic prompt generation and optimization using templates, standards, and patterns to scale prompt engineering across agents.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
An AI Digital Studio built for software development, data analysis, creative exploration, and prompt automation.
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Expert in human behavior, personality theory, motivation, and cognitive patterns — builds psychologically credible characters and interactions grounded in cl…
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- 61 / 100
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This skill helps AI agents register and manage domains via a fast API, check availability, top up via USDC, and configure DNS records.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
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Review links
Pydantic is the most widely used data validation library for Python.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Use this skill for requests related to Pydantic AI framework - building agents, tools, dependencies, structured outputs, and model integrations.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you read, modify, and anonymize DICOM files with pydicom, enabling pixel data handling, metadata management, and format conversions.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
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Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis.
- Fit
- 61 / 100
- Trust
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- Install
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Review links
This skill helps you send and receive emails via agentmail API using Python scripts, enabling AI agents to manage inbox workflow.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Expert Python backend code reviewer that identifies over-complexity, duplicates, bad optimizations, and violations of best practices. Use when asked to review Python code quality, check for duplicate code, analyze module complexity, optimize backend code, identify anti-patterns, or ensure adherence to best practices. Ideal for preventing AI-generated code f...
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review links
Technical category pages stay focused on job browsing; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
4677 matching candidates for Research & Knowledge. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role categoryOpen the focused review record
- 03Agent inventoryBrowse the matching inventory
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-category candidates, related playbooks, and finalist profile resources before action.