Create, manage, and chat with AI workflows seamlessly
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.
This skill helps agents collaboratively paint on a shared 512x512 canvas, coordinating actions and conversations to create dynamic digital art.
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This skill helps you discover, preview, and install AI agents from Agentplace, streamlining discovery and setup of free and premium tools.
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This skill helps you monitor LLM costs, tokens, latency, and errors across agents, enabling proactive spending controls and performance insights.
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This skill composes, configures, and orchestrates custom agents with personalized traits and voices to boost productivity.
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This skill helps design, build, and deploy AI agents using architecture patterns, tooling, and memory strategies for safe production.
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This skill helps you build and deploy continuous autonomous agents with a visual flow editor and modular blocks for rapid automation.
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This skill helps you manage AI agent infrastructure including phone, email, compute, and domains with seamless x402 payments.
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This skill helps you build LLM-powered agents, chains, and RAG pipelines with LangChain, enabling tool calling, memory, and rapid prototyping.
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This skill helps you leverage LlamaIndex to build retrieval-augmented generation apps, ingest data, and query private knowledge efficiently.
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This skill helps you create, verify, and improve AGENTS.md files with progressive disclosure and concise root guidance.
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This skill helps you maintain AGENTS.md concisely by referencing local skills and applying minimal, header-driven documentation guidelines.
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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.