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Coding & Development
Agents for software engineering, IDE assistance, code generation, code review, and developer workflows.
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Build or modify application code.
- Review a repository before adopting an agent.
- Prepare a pull request with tests and implementation notes.
Recommended trials and bundles
This skill guides building LangChain 1.x and LangGraph architectures for agents, memory, and tool integration to create robust LLM applications.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you design advanced LangChain applications with agents, memory, and tool integration for scalable, multi-step LLM workflows.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you configure LangChain CI/CD pipelines with testing, linting, and deployment steps for robust projects.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you build production-ready LangChain workflows by composing LCEL chains, prompts, and parsers with type-safe, reusable templates.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you build autonomous LangChain agents with tools for tool calling, decision-making, and multi-step task execution.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you deploy LangChain apps to production using containers and cloud platforms for scalable, reliable operations.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables enterprise RBAC for LangChain apps with multi-tenant isolation, fine-grained permissions, and usage quotas to enhance security.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Build production LangChain agents with create_agent(), tools, and middleware patterns. \n \n Use create_agent() with model, tools list, and system prompt; co…
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Builds LLM-powered applications with LangChain.js for chat, agents, and RAG. Use when creating AI applications with chains, memory, tools, and retrieval-augmented generation in JavaScript.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Human-in-the-loop approval, custom middleware, and structured output patterns for LangChain agents. \n \n HumanInTheLoopMiddleware pauses execution before da…
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you plan and execute LangChain migrations with phased strategies, tooling, and validation to minimize risk.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
ALWAYS START HERE for any LangChain, Deep Agents, or LangGraph agent building project. Required starting point before choosing other skills or writing any…
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review links
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4637 matching candidates for Coding & Development. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
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- 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.