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 helps you diagnose and fix failing GitHub PR checks by inspecting logs and drafting a fix plan before applying changes.
- Fit
- 75 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
This skill helps you research companies or people using web search and enrichment to surface actionable sales intel for outreach.
- Fit
- 75 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
This skill researches a prospect and drafts a personalized outreach email and LinkedIn messages using enrichment and CRM when available.
- Fit
- 75 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
This skill crafts a prioritized daily briefing for sales, auto-synced with calendar, CRM, and email to boost focus and outcomes.
- Fit
- 75 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
Review a contract against your organization's negotiation playbook — flag deviations, generate redlines, provide business impact analysis. Use when reviewing…
- Fit
- 75 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
This skill generates a structured feature spec or PRD from a problem statement or idea, outlining goals, success metrics, and phased scope.
- Fit
- 75 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
This skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent…
- Fit
- 75 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Structured code review for security, performance, correctness, and maintainability across PR diffs and file changes. Audits security risks including SQL injection, XSS, CSRF, authentication flaws, and credential exposure Identifies performance issues like N+1 queries, memory leaks, algorithmic complexity, and resource leaks Checks correctness for edge cases...
- Fit
- 75 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Create a well-formed git commit from current changes using session history for
- Fit
- 75 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Create a pull request with Conventional Commits formatting, a templated body, and local verification. Use when the user asks to create a PR, open a PR, submit…
- Fit
- 75 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Django performance code review. Use when asked to "review Django performance", "find N+1 queries", "optimize Django", "check queryset performance", "database…
- Fit
- 75 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides users through a three-stage co-authoring workflow for documentation, ensuring clarity, structure, and reader readiness.
- Fit
- 75 / 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.