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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 helps economists conduct literature reviews by structuring searches, summarizing papers, and synthesizing findings to identify gaps.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps OpenClaw agents manage a fast lightweight local SQLite database with minimal RAM and storage usage.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Conduct comprehensive, systematic literature reviews using multiple databases (PubMed, bioRxiv, Semantic Scholar, OpenAlex). Creates documented searches, synthesizes findings thematically, verifies citations, and generates professional markdown reports with multiple citation styles (APA, Nature, Vancouver). Use when the user needs thorough literature resear...
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
系統性文獻搜尋、篩選、下載、整理。觸發:文獻回顧、找論文、搜尋文獻、systematic review、literature search、PubMed、找文章、搜paper、review、reference、citation、引用、參考文獻、背景調查、background。
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Search and retrieve scientific literature. Use when asked to find papers, research a topic, find citations, get paper abstracts, or conduct literature reviews. Accesses Semantic Scholar, arXiv, and other academic databases.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you orchestrate real-time voice rooms and token management with LiveKit for AI agents and human participants.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you set up LlamaIndex query engines and configure ReAct agents for RAG-powered workflows across knowledge bases.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Access and interact with Large Language Models from the command line using Simon Willison's llm CLI tool. Supports OpenAI, Anthropic, Gemini, Llama, and dozens of other models via plugins. Features include chat sessions, embeddings, structured data extraction with schemas, prompt templates, conversation logging, and tool use. This skill is triggered when th...
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.
- 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.