An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
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.
A structured AI Agent crash course with a complete learning path, practical projects, interview prep, LangChain/LangGraph/Coze/Dify/MCP/skills/RAG coverage, deployment, and fine-tuning guidance.
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Use when searching academic papers, looking up citations, finding authors, or getting paper recommendations using the Semantic Scholar API. Triggers on queries about research papers, academic search, citation analysis, or literature discovery.
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A production-focused agent framework that handles the full stack from single agents to multi-agent teams to workflow pipelines. Notable for clean MCP integration patterns (stdio, SSE, and streamable HTTP transports all supported), built-in persistence with SqliteDb or PostgresDb, and agentic memory that lets agents decide when to store context. The Learning...
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This is a Chinese language guide to LangGraph 1.0 that covers the full stack: ReAct agents, state graphs, middleware for budget control and content filtering, human-in-the-loop workflows, memory systems, and multi-agent supervision patterns. It includes 11 chapters with working examples for RAG, web search, MCP server integration, and parallelization. The a...
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Domain expertise for Ai2 Asta MCP tools (Semantic Scholar corpus). Intent-to-tool routing, safe defaults, workflow patterns, and pitfall warnings for academic paper search, citation traversal, and author discovery.
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This is your go-to for building LLM applications that need more structure than raw API calls. It covers both LangChain's LCEL pipe syntax for composing chains and LangGraph for stateful agent workflows. The examples are practical: RAG pipelines with vector stores, structured output parsing with Pydantic models, and actual agent graphs with tools and conditi...
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Deploy ANYTHING to production on CreateOS cloud platform. Use this skill when deploying, hosting, or shipping: (1) AI agents and multi-agent systems, (2) Backend APIs and microservices, (3) MCP servers and AI skills, (4) API wrappers and proxy services, (5) Frontend apps and dashboards, (6) Webhooks and automation endpoints, (7) LLM-powered services and RAG...
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A collection of specialized AI agent personalities for Claude Code, Cursor, Aider, Windsurf, and other AI coding tools — covering engineering, design, marketing, sales, and more.
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This skill creates isolated swarm sub-workspaces and prepares task-specific prompts and context for parallel worker agents to execute immediately.
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This skill helps you implement WCAG 2.2 compliant interfaces and inclusive accessibility patterns across interfaces and forms.
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Browse Ads skills for Claude Code, Cursor, Codex and more AI coding agents.
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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.