This skill helps you conduct structured multi-step research, orchestrating subagents and long-context analysis to deliver synthesized, actionable insights.
Find, trial, compare, and govern AI agents before hiring
Data
Connect APIs, databases, warehouses, spreadsheets, analytics, and ETL workflows.
What team job or business role does the user need filled?
Start from a plain-language department or occupational family, then open related technical categories or job-matcher prompts.
- department or team-role discovery
- plain-language job briefs
- business outcome shortlists
- non-technical browsing
Start from user language
- Connect a dataset or API to a reusable analysis workflow.
- Evaluate extraction, transformation, and retrieval candidates.
Sandbox-first next steps
Data candidates
Showing 12 of 4771. Adjust filters to narrow the review list without losing job context.
Build agents specialized in conducting thorough research, gathering information from multiple sources, and synthesizing findings. Covers research planning, source evaluation, and report generation. Use when automating market research, competitive analysis, literature reviews, or intelligence gathering.
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This skill guides you through complex, multi-step research, planning tasks, coordinating subagents, and delivering synthesized data-driven insights.
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This skill performs structured, multi-step research by planning, decomposing, and coordinating subagents to deliver data-driven insights.
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This skill enables deep research by planning multi-step projects, coordinating subagents, and synthesizing large-context analysis into actionable reports.
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This skill enhances an existing plan by assigning parallel research agents to each section, delivering depth, best practices, and concrete implementation
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This skill helps you evaluate LLM applications using Deepeval's pytest-based metrics and tracing to ensure quality and safety.
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The Secure AI Platform
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Deepgram's voice AI platform provides APIs for speech-to-text, text-to-speech, and language understanding.
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This skill generates comprehensive, hierarchical AGENTS.md documentation across the codebase to guide AI agents through structure and dependencies.
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Deepnote's AI Copilot, with its efficient and contextual code suggestions, is paving the way for a future of AI-powered data exploration in notebooks.
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Agentic Automation for Enterprises
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Role-family pages stay focused on plain-language job review; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
4771 candidates for Data. Open matching profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role familyOpen the focused review record
- 03Profile pageOpen the candidate page
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-family candidates, job brief context, and finalist profile resources before action.