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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 performs a structured codebase QC audit across languages and generates a standardized PASS/WARN/FAIL report highlighting tests, linting, and docs.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Systematic refactoring of codebase components through a structured 3-phase process. Use when asked to refactor, restructure, or improve specific components, modules, or areas of code. Produces research documentation, change proposals with code samples, and test plans. Triggers on requests like "refactor the authentication module", "restructure the data laye...
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Techniques for analyzing existing codebases to reverse-engineer requirements and understand business logic. Use when conducting brownfield analysis or understanding existing system capabilities.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Refactors at Scale | Automate, Transform, and Optimize Your Codebase
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you install and configure CodeRabbit authentication for SDK/CLI, enabling secure API access and smooth project setup.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps secure CodeRabbit integration by managing API keys, enforcing least privilege, and auditing access across environments.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides you through CodeRabbit SDK upgrades, detects breaking changes, and ensures a smooth migration with tests and rollback steps.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Cohere Command A+ is an open-source LLM optimized for agentic, multilingual, and reasoning-heavy tasks. It supports vision inputs and is designed for efficie…
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you optimize vector search and RAG with Cohere embeddings, covering embed-v4 and input_type best practices for accurate retrieval.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill provides Go developers with Cohere API usage guidance, covering chat, streaming, embeddings, reranking, and tool integration for rapid app
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps Java/Kotlin developers integrate Cohere APIs efficiently, with examples for chat, embeddings, reranking, streaming, tools, and error handling.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you build and optimize Cohere LangChain RAG pipelines and tool workflows by providing integrated chat, embeddings, and retriever examples.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review links
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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.