This skill helps you bridge Hume EVI and LangGraph by orchestrating call lifecycle, transcripts, emotions, and Twilio webhooks for async agents.
Find, trial, compare, and govern AI agents before hiring
Finance
Analyze finance, trading, billing, reporting, and spreadsheet 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
- Analyze a reporting spreadsheet and flag anomalies.
- Compare finance or trading agents with sandbox-only evidence.
Sandbox-first next steps
Finance candidates
Showing 12 of 554. Adjust filters to narrow the review list without losing job context.
This skill faithfully reproduces Hummingbot CLI commands via Hummingbot API to enable AI agents to manage trading workflows with V2 strategies.
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This skill helps you manage personal and business insurance records locally, track policies, renewals, and claims without external dependencies.
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This skill helps agents track expenses, income, budgets, and savings with AI-driven insights to optimize personal finances.
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This skill helps you leverage LangChain prompt templates to design reusable prompts, boosting consistency and efficiency in building AI tools.
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Build multi-agent AI pipelines with Claude — no API key needed. Agents, orchestration, parallel workflows, structured output, tools, MCP, and more.
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AI-powered bookkeeping agent for real-time, accurate bookkeeping.
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AI-powered intelligent automation and no-code solutions for digital transformation.
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This skill dispatches multiple subagents to handle independent tasks in parallel, maximizing throughput when tasks have no shared state or sequential
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Build production-ready LLM applications with chains, agents, memory, tools, and RAG pipelines using the LangChain framework
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Implement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pipelines, embedding stores, vector search strategies, and knowledge-enhanced AI applications. Use when creating question-answering systems over document collections or AI assistants with external knowledge bases.
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Human-in-the-loop approval, custom middleware, and structured output patterns for LangChain agents. \n \n HumanInTheLoopMiddleware pauses execution before da…
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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.
554 candidates for Finance. 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.