The LLM Automatic Computer Framework
Find, trial, compare, and govern AI agents before hiring
Research
Search, retrieve, synthesize, and preserve knowledge with traceable sources.
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
- Create a sourced research brief from public material.
- Find comparable tools and preserve citation links.
Sandbox-first next steps
Research candidates
Showing 12 of 4731. Adjust filters to narrow the review list without losing job context.
This skill guides you through installing, configuring, and operating Label Studio for efficient data labeling on your local server.
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This skill helps you design and publish robust .NET libraries with multi-targeting, clean APIs, and NuGet packaging best practices.
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Use this skill for ANY coding question involving LangChain products (LangChain, LangGraph, LangSmith SDK). Covers agent development patterns, primitives,…
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$22
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Local LangChain AI documentation reference. Use when asked about LangChain, LangGraph, agents, chains, prompts, memory, tools, retrieval, RAG, vector stores, document loaders, or building LLM applications.
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This skill helps you install and configure LangChain authentication for Python or Node projects, enabling secure API access and quick verification.
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This skill streamlines LangChain local development with hot reload, testing fixtures, and rapid iteration to boost productivity.
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This skill provides production-ready LangChain SDK patterns for reliable chains, memory, and error handling to accelerate integration and standardize code.
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This skill guides you through upgrading LangChain versions and migrating APIs, ensuring safe, verifiable migrations across imports, chains, memory, and agents.
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This skill orchestrates DuckDuckGo and Zai search with Ark and GLM extraction to deliver structured results and saves workflow data.
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Open Source LLM Engineering Platform
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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.
4731 candidates for Research. 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.