Find, trial, compare, and govern AI agents before hiring
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 automatically selects the best external research tool to verify technical details and surface accurate, sourced results.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill checks and configures feature flag infrastructure using OpenFeature with pluggable providers across projects.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill checks and configures Sentry error tracking to align with project standards and environment-based DSNs.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you query, retrieve, and read Confluence pages and spaces via a Python CLI, with JSON output.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill synchronizes and migrates documentation to Confluence by automating page creation, updates, and format conversions across spaces.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill lets Claude perform real actions across apps like sending emails, creating issues, posting messages, and updating data.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill connects your agent to external platforms via Nango MCP to perform tasks like listing contacts or querying records.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Extract, govern, and ship structured content from your codebase. Browse Contentrain MCP Server for Claude, Cursor, VS Code, and other AI agents.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill orchestrates multi-source context retrieval from limitless, research, and pieces to inform decisions beyond the current codebase.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill performs comprehensive code reviews for quality, security, and standards adherence across diffs, plans, and architecture decisions.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you implement consumer-driven contract testing with Pact in Python, generating and verifying pact files and ensuring provider compatibility.
- Fit
- 66 / 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.