{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-07-28T06:20:51.496Z","headline":"用Claude和Python构建技能驱动的金融分析智能体","description":"本教程基于Anthropic的financial-services仓库，用纯Python复现其技能驱动架构。通过解析SKILL.md文件构建可搜索技能注册表，并创建可复用SkillAgent，将金融分析剧本注入Anthropic Messages API，支持迭代工具调用循环。","url":"https://www.aioga.com/news/cms3k7su000n8roiytkztsme7/","mainEntityOfPage":"https://www.aioga.com/news/cms3k7su000n8roiytkztsme7/","datePublished":"2026-07-27T18:08:24.000Z","dateModified":"2026-07-27T18:08:24.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://www.marktechpost.com/2026/07/27/designing-skill-driven-financial-analysis-agents-with-claude-python-mcp-connectors-and-automated-deliverables","https://aihot.virxact.com/items/cms3k7su000n8roiytkztsme7"],"canonicalUrl":"https://www.aioga.com/news/cms3k7su000n8roiytkztsme7/","directAnswer":{"@type":"Answer","text":"这篇教程以 Anthropic 的 financial-services 仓库为基础，用纯 Python 复现技能驱动的金融分析智能体架构，涵盖技能注册、工具调用、Python 计算以及文件化交付，并演示 DCF、可比公司分析和投资委员会备忘录等流程。","url":"https://www.aioga.com/news/cms3k7su000n8roiytkztsme7/","dateCreated":"2026-07-27T18:08:24.000Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"marktechpost.com source article","url":"https://www.marktechpost.com/2026/07/27/designing-skill-driven-financial-analysis-agents-with-claude-python-mcp-connectors-and-automated-deliverables","datePublished":"2026-07-27T18:08:24.000Z","provider":{"@type":"Organization","name":"marktechpost.com","url":"https://www.marktechpost.com/2026/07/27/designing-skill-driven-financial-analysis-agents-with-claude-python-mcp-connectors-and-automated-deliverables"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.virxact.com/items/cms3k7su000n8roiytkztsme7","datePublished":"2026-07-27T18:08:24.000Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.virxact.com/items/cms3k7su000n8roiytkztsme7"}}],"aggregationSource":"MarkTechPost（RSS）","originalPublisher":{"name":"marktechpost.com","url":"https://www.marktechpost.com/2026/07/27/designing-skill-driven-financial-analysis-agents-with-claude-python-mcp-connectors-and-automated-deliverables"},"article":{"id":"cms3k7su000n8roiytkztsme7","slug":"cms3k7su000n8roiytkztsme7","url":"https://www.aioga.com/news/cms3k7su000n8roiytkztsme7/","title":"用Claude和Python构建技能驱动的金融分析智能体","title_en":"Designing Skill-Driven Financial Analysis Agents with Claude， Python， MCP Connectors， and Automated Deliverables","summary":"本教程基于Anthropic的financial-services仓库，用纯Python复现其技能驱动架构。通过解析SKILL.md文件构建可搜索技能注册表，并创建可复用SkillAgent，将金融分析剧本注入Anthropic Messages API，支持迭代工具调用循环。","source":"MarkTechPost（RSS）","sourceUrl":"https://www.marktechpost.com/2026/07/27/designing-skill-driven-financial-analysis-agents-with-claude-python-mcp-connectors-and-automated-deliverables","aiHotUrl":"https://aihot.virxact.com/items/cms3k7su000n8roiytkztsme7","publishedAt":"2026-07-27T18:08:24.000Z","category":"技巧观点","score":72,"selected":true,"articleBody":["In this tutorial, we build an advanced workflow around Anthropic’s financial-services ：https://github.com/anthropics/financial-services repository and reproduce its skill-driven architecture in pure Python. We begin by installing the required libraries, cloning the repository, and programmatically mapping its agents, vertical plugins, partner integrations, managed-agent cookbooks, and financial analysis skills. We then parse the repository’s SKILL.md files into a searchable registry and construct a reusable SkillAgent that injects selected financial playbooks into the Anthropic Messages API while supporting an iterative tool-use loop for Python calculations and file generation. Using this architecture, we execute a synthetic discounted cash flow valuation, generate a WACC and terminal-growth sensitivity heatmap, perform comparable-company analysis with formatted Excel output, draft a private-equity investment committee memo, and inspect a managed-agent deployment specification without sending a live deployment request.","We install the required Python libraries, clone Anthropic’s financial-services repository, and prepare the Google Colab runtime for execution. We retrieve the Anthropic API key from Colab secrets, environment variables, or a secure interactive prompt. We then initialize the official Anthropic SDK and select the Claude model that powers the financial-analysis workflows.","We inspect the repository structure and identify its agent plugins, vertical plugins, partner integrations, managed-agent cookbooks, and available commands. We locate MCP configuration files and display the external financial data connectors defined in the repository. We then parse each SKILL.md file, extract its YAML metadata and methodology, and register every unique skill for searchable access.","We define tools that allow Claude to execute Python calculations and save generated deliverables inside the Colab environment. We build a persistent Python namespace so numerical models, tables, and intermediate variables remain available across multiple agent turns. We then create the SkillAgent class, inject selected financial playbooks into its system prompt, and manage the Anthropic Messages API tool-use loop.","We provide synthetic operating assumptions and instruct the DCF skill agent to construct a five-year unlevered cash-flow valuation. We use the Python execution tool to calculate enterprise value, equity value, implied share price, and a two-dimensional sensitivity matrix. We then extract the structured sensitivity results and visualize the relationship between WACC, terminal growth, and implied valuation through a heatmap.","We supply a synthetic peer set and calculate enterprise value, EV-to-revenue, EV-to-EBITDA, and price-to-earnings multiples. We convert the agent’s structured JSON response into detailed comparable-company and summary-statistics DataFrames. We then export the analysis to a multi-sheet Excel workbook and apply professional header formatting and automatic column sizing.","We apply the investment-committee memo skill to a hypothetical software buyout and calculate supporting return metrics with Python. We save the resulting memo as a Markdown deliverable and verify that the generated file exists in the output directory. We then inspect a managed-agent cookbook, display the deployment specification, and conclude by reviewing the generated artifacts and possible production extensions.","By completing this tutorial, we implement a practical Colab-based approximation of Anthropic’s financial-services skill and agent framework while preserving the repository’s methodology-driven approach to financial analysis. We combine structured skill discovery, dynamic system-prompt construction, persistent Python execution, API-based tool orchestration, and automated deliverable generation in a single reusable workflow. We also demonstrate how the same agent architecture supports multiple finance use cases, including DCF valuation, trading-comps analysis, sensitivity testing, Excel reporting, and investment committee memo preparation. From here, we extend the system by loading additional skills, combining multiple valuation playbooks, connecting to licensed financial data providers via MCP integrations, and replacing the tutorial sandbox with a governed production runtime in Claude Code, Cowork, or Managed Agents.","Need to partner with us for promoting your GitHub Repo OR Hugging Face Page OR Product Release OR Webinar etc.? Connect with us ：https://forms.gle/wbash1wF6efRj8G58","Sana Hassan, a consulting intern at Marktechpost and dual-degree student at IIT Madras, is passionate about applying technology and AI to address real-world challenges. With a keen interest in solving practical problems, he brings a fresh perspective to the intersection of AI and real-life solutions.","Build an Agentic Event Venue Operator [Full Codes]：https://pxllnk.co/twdn5","Thanks! Our team will contact you soon 🙌"],"articleImages":[{"sourceUrl":"https://www.marktechpost.com/wp-content/uploads/2026/07/blog6171-8-100x70.png","alt":"How Perplexity's pplx CLI Gives Coding Agents Live Web Search From the Command Line","afterParagraph":9,"url":"/media/articles/cms3k7su000n8roiytkztsme7/8cdd9bfb6f119048.png"},{"sourceUrl":"https://www.marktechpost.com/wp-content/uploads/2026/07/blog6171-6-100x70.png","alt":"KwaiKAT Team Releases KAT-Coder-V2.5","afterParagraph":9,"url":"/media/articles/cms3k7su000n8roiytkztsme7/2225a1a0a768ea5a.webp"},{"sourceUrl":"https://www.marktechpost.com/wp-content/uploads/2026/07/blog6171-4-100x70.png","alt":"FAIRChem v2 UMA for Multidomain Atomistic Simulation across Molecules, Catalysts, Materials, Vibrations, and Molecular Dynamics","afterParagraph":9,"url":"/media/articles/cms3k7su000n8roiytkztsme7/a8de8cc0d3522061.png"}],"mediaStatus":"ok","articleBodyZh":["在本教程中，我们围绕Anthropic的金融服务库：https://github.com/anthropics/financial-services 构建一个高级工作流，并在纯Python中重现其基于技能的架构。我们首先安装所需的库，克隆该库，并以编程方式映射其代理、垂直插件、合作伙伴集成、托管代理手册和金融分析技能。然后，我们将库中的SKILL.md文件解析为可搜索的注册表，并构建一个可重用的SkillAgent，将选定的金融操作手册注入Anthropic Messages API，同时支持Python计算和文件生成的迭代工具使用循环。使用此架构，我们执行合成折现现金流估值，生成加权平均资本成本（WACC）和终值增长敏感度热图，进行可比公司分析并输出格式化Excel，起草私募股权投资委员会备忘录，并检查托管代理部署规范，而无需发送实时部署请求。","我们安装所需的Python库，克隆Anthropic的金融服务库，并准备Google Colab运行时以执行操作。我们从Colab Secrets、环境变量或安全的交互式提示中获取Anthropic API密钥。接着，我们初始化官方Anthropic SDK，并选择驱动金融分析工作流的Claude模型。","我们检查库的结构，识别其代理插件、垂直插件、合作伙伴集成、托管代理手册以及可用命令。我们定位MCP配置文件，并显示库中定义的外部金融数据连接器。然后，我们解析每个SKILL.md文件，提取其YAML元数据和方法论，并注册每个唯一技能以便可搜索访问。","我们定义工具，使Claude能够执行Python计算并在Colab环境中保存生成的交付成果。我们构建一个持久的Python命名空间，以便数值模型、表格和中间变量在多次代理操作中保持可用。然后，我们创建SkillAgent类，将选定的金融操作手册注入其系统提示，并管理Anthropic Messages API的工具使用循环。","我们提供合成的运营假设，并指示DCF技能代理构建五年未杠杆现金流估值。我们使用Python执行工具计算企业价值、股权价值、隐含股价以及二维敏感性矩阵。然后，我们提取结构化的敏感性结果，并通过热力图可视化WACC、终端增长率和隐含估值之间的关系。","我们提供合成的可比公司集合，并计算企业价值、企业价值与收入比（EV/Revenue）、企业价值与息税折旧摊销前利润比（EV/EBITDA）以及市盈率（P/E）倍数。我们将代理的结构化JSON响应转换为详细的可比公司及统计汇总DataFrame。然后，我们将分析结果导出到多工作表Excel工作簿，并应用专业的表头格式及自动列宽调整。","我们将投资委员会备忘录技能应用于一个假设的软件收购案例，并用Python计算支持的回报指标。我们将生成的备忘录保存为Markdown交付文件，并验证生成的文件是否存在于输出目录中。随后，我们检查托管代理手册，显示部署规格，并最终审阅生成的工件及可能的生产扩展方案。","通过完成本教程，我们实现了基于Colab的Anthropic金融服务技能及代理框架的实用近似，同时保持仓库在金融分析方法上的指导性方法。我们在单一可复用的工作流中结合了结构化技能发现、动态系统提示构建、持久Python执行、基于API的工具编排及自动化交付生成。我们还展示了同一代理架构如何支持多种金融用例，包括DCF估值、可比交易分析、敏感性测试、Excel报告以及投资委员会备忘录编制。从这里开始，我们可以通过加载更多技能、组合多个估值操作手册、通过MCP集成连接授权金融数据提供商以及将教程沙箱替换为Claude Code、Cowork或托管代理的受控生产运行时来扩展系统。","想与我们合作推广您的GitHub仓库、Hugging Face页面、产品发布或网络研讨会等？请联系我们：https://forms.gle/wbash1wF6efRj8G58","Sana Hassan 是 Marktechpost 的咨询实习生，也是 IIT 马德拉斯的双学位学生，他热衷于将技术和人工智能应用于解决现实世界的挑战。由于对解决实际问题充满兴趣，他为人工智能与现实生活解决方案的结合带来了新的视角。","构建一个自主事件场地运营商 [完整代码]：https://pxllnk.co/twdn5","谢谢！我们的团队会尽快与您联系 🙌"],"translationStatus":"translated","bodyOrigin":"source-page","editorial":{"summary":"这篇教程以 Anthropic 的 financial-services 仓库为基础，用纯 Python 复现技能驱动的金融分析智能体架构，涵盖技能注册、工具调用、Python 计算以及文件化交付，并演示 DCF、可比公司分析和投资委员会备忘录等流程。","background":"教程先克隆仓库并解析各个 SKILL.md 文件，将其中的 YAML 元数据和方法论整理为可搜索注册表；随后构建 SkillAgent，把选定的金融分析剧本注入 Anthropic Messages API，并通过迭代式工具调用完成计算和文件生成。","viewpoint":"Aioga 判断，这一方案的重点不在于展示某个估值结论，而在于把金融分析方法、模型计算和交付物生成组织成可复用流程。由于示例使用合成数据，教程结果不应直接视为现实公司的投资判断。","implications":"值得关注的是，同一套架构被用于 DCF 估值、WACC 与终值增长率敏感性分析、交易可比分析、Excel 输出和投资委员会备忘录。材料也显示，外部金融数据连接器和生产环境治理仍属于后续扩展方向。","nextStep":"下一步可按教程方向加载更多技能、组合多个估值剧本，并通过 MCP 接入获得许可的金融数据提供商；同时，教程建议将 Colab 沙盒替换为具备治理能力的生产运行环境，再评估实际部署需求。","evidenceRefs":["title","summary","articleBody","source"],"status":"published","aiGenerated":true,"autoApproved":true,"generatedBy":"aioga-editorial:gpt-5.6-sol","reviewedBy":"aioga-editorial-review:gpt-5.6-sol","generatedAt":"2026-07-27T19:10:56.438Z","sourceHash":"e7c2be355e7a334a","review":{"approved":true,"groundedness":96,"clarity":94,"duplicationRisk":18,"blockingIssues":[],"notes":["“Aioga 判断”属于明确标注的编辑观点，且“合成数据不应直接视为现实公司的投资判断”是基于材料内容作出的合理风险提示，不构成事实性问题。","“生产环境治理仍属于后续扩展方向”与原文提出用受治理的生产运行环境替代教程沙盒基本一致。"]},"validation":{"passed":true,"mode":"ai-auto","revisions":0,"checks":["schema","length","source-attribution","low-source-overlap","no-html","independent-ai-review"]}},"tags":["技巧观点","MarkTechPost（RSS）"],"translations":{"zh-CN":{"title":"用Claude和Python构建技能驱动的金融分析智能体","summary":"本教程基于Anthropic的financial-services仓库，用纯Python复现其技能驱动架构。通过解析SKILL.md文件构建可搜索技能注册表，并创建可复用SkillAgent，将金融分析剧本注入Anthropic Messages API，支持迭代工具调用循环。","category":"技巧观点","source":"marktechpost.com","aggregationSource":"MarkTechPost（RSS）","pageTitle":"用Claude和Python构建技能驱动的金融分析智能体 - Aioga AI资讯","description":"本教程基于Anthropic的financial-services仓库，用纯Python复现其技能驱动架构。通过解析SKILL.md文件构建可搜索技能注册表，并创建可复用SkillAgent，将金融分析剧本注入Anthropic Messages API，支持迭代工具调用循环。","url":"https://www.aioga.com/news/cms3k7su000n8roiytkztsme7/"},"en":{"title":"Building a Skill-Driven Financial Analysis Agent with Claude and Python","summary":"This tutorial is based on Anthropic's financial-services repository and reproduces its skill-driven architecture using pure Python. It builds a searchable skill registry by parsing the SKILL.md file and creates a reusable SkillAgent, injecting financial analysis scripts into the Anthropic Messages API to support iterative tool call loops.","category":"Insights","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Building a Skill-Driven Financial Analysis Agent with Claude and Python - Aioga AI News","description":"This tutorial is based on Anthropic's financial-services repository and reproduces its skill-driven architecture using pure Python. It builds a searchable skill registry by parsing...","url":"https://www.aioga.com/en/news/cms3k7su000n8roiytkztsme7/","contentTranslated":true,"sourceHash":"4ffb3b00cd754841","translatedAt":"2026-07-27T19:04:17.053Z"},"ja":{"title":"ClaudeとPythonを使ってスキル駆動型の金融分析エージェントを構築する","summary":"本チュートリアルはAnthropicのfinancial-servicesリポジトリを基に、純粋なPythonでそのスキル駆動アーキテクチャを再現します。SKILL.mdファイルを解析して検索可能なスキルレジストリを構築し、再利用可能なSkillAgentを作成し、金融分析スクリプトをAnthropic Messages APIに注入し、反復ツール呼び出しループをサポートします。","category":"ヒントと視点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"ClaudeとPythonを使ってスキル駆動型の金融分析エージェントを構築する - Aioga AIニュース","description":"本チュートリアルはAnthropicのfinancial-servicesリポジトリを基に、純粋なPythonでそのスキル駆動アーキテクチャを再現します。SKILL.mdファイルを解析して検索可能なスキルレジストリを構築し、再利用可能なSkillAgentを作成し、金融分析スクリプトをAnthropic Messages APIに注入し、反復ツール呼び出しル...","url":"https://www.aioga.com/ja/news/cms3k7su000n8roiytkztsme7/","contentTranslated":true,"sourceHash":"4ffb3b00cd754841","translatedAt":"2026-07-27T19:04:26.607Z"},"ko":{"title":"Claude와 Python을 사용하여 기술 중심 금융 분석 에이전트 구축","summary":"이 튜토리얼은 Anthropic의 financial-services 저장소를 기반으로 하며, 순수 Python으로 그들의 스킬 구동 아키텍처를 재현합니다. SKILL.md 파일을 파싱하여 검색 가능한 스킬 레지스트리를 구축하고, 재사용 가능한 SkillAgent를 생성하며, 금융 분석 시나리오를 Anthropic Messages API에 주입하여 반복적인 도구 호출 루프를 지원합니다.","category":"인사이트","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Claude와 Python을 사용하여 기술 중심 금융 분석 에이전트 구축 - Aioga AI 뉴스","description":"이 튜토리얼은 Anthropic의 financial-services 저장소를 기반으로 하며, 순수 Python으로 그들의 스킬 구동 아키텍처를 재현합니다. SKILL.md 파일을 파싱하여 검색 가능한 스킬 레지스트리를 구축하고, 재사용 가능한 SkillAgent를 생성하며, 금융 분석 시나리오를 Anthropic Mess...","url":"https://www.aioga.com/ko/news/cms3k7su000n8roiytkztsme7/","contentTranslated":true,"sourceHash":"4ffb3b00cd754841","translatedAt":"2026-07-27T19:05:10.495Z"},"es":{"title":"Construir un agente de análisis financiero impulsado por habilidades con Claude y Python","summary":"Este tutorial se basa en el repositorio de servicios financieros de Anthropic, reconstruyendo su arquitectura impulsada por habilidades con Python puro. Construye un registro de habilidades buscable a partir del archivo SKILL.md y crea un SkillAgent reutilizable, inyectando guiones de análisis financiero en la API de Mensajes de Anthropic, soportando un ciclo de llamadas a herramientas iterativas.","category":"Ideas","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Construir un agente de análisis financiero impulsado por habilidades con Claude y Python - Aioga Noticias de IA","description":"Este tutorial se basa en el repositorio de servicios financieros de Anthropic, reconstruyendo su arquitectura impulsada por habilidades con Python puro. Construye un registro de ha...","url":"https://www.aioga.com/es/news/cms3k7su000n8roiytkztsme7/","contentTranslated":true,"sourceHash":"4ffb3b00cd754841","translatedAt":"2026-07-27T19:05:16.756Z"},"fr":{"title":"Créer un agent d'analyse financière axé sur les compétences avec Claude et Python","summary":"Ce tutoriel est basé sur le dépôt financial-services d'Anthropic et réplique son architecture axée sur les compétences en utilisant uniquement Python. Il construit un registre de compétences consultable en analysant le fichier SKILL.md et crée un SkillAgent réutilisable, injectant des scénarios d'analyse financière dans l'API Messages d'Anthropic, supportant ainsi des cycles d'appels d'outils itératifs.","category":"Analyses","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Créer un agent d'analyse financière axé sur les compétences avec Claude et Python - Aioga Actualités IA","description":"Ce tutoriel est basé sur le dépôt financial-services d'Anthropic et réplique son architecture axée sur les compétences en utilisant uniquement Python. Il construit un registre de c...","url":"https://www.aioga.com/fr/news/cms3k7su000n8roiytkztsme7/","contentTranslated":true,"sourceHash":"4ffb3b00cd754841","translatedAt":"2026-07-27T19:05:56.875Z"},"de":{"title":"Erstellung eines skillgesteuerten Finanzanalyse-Agenten mit Claude und Python","summary":"Dieses Tutorial basiert auf dem financial-services-Repository von Anthropic und setzt seine Skill-gesteuerte Architektur mit reinem Python um. Durch das Parsen der SKILL.md-Datei wird ein durchsuchbares Skill-Register erstellt und ein wiederverwendbarer SkillAgent aufgebaut, der Finanzanalyse-Szenarien in die Anthropic Messages API einspeist und iterative Werkzeugaufrufzyklen unterstützt.","category":"技巧观点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Erstellung eines skillgesteuerten Finanzanalyse-Agenten mit Claude und Python - Aioga KI-News","description":"Dieses Tutorial basiert auf dem financial-services-Repository von Anthropic und setzt seine Skill-gesteuerte Architektur mit reinem Python um. Durch das Parsen der SKILL.md-Datei w...","url":"https://www.aioga.com/de/news/cms3k7su000n8roiytkztsme7/","contentTranslated":true,"sourceHash":"4ffb3b00cd754841","translatedAt":"2026-07-27T19:05:58.065Z"},"pt-BR":{"title":"Construindo agentes de análise financeira orientados por habilidades com Claude e Python","summary":"Este tutorial é baseado no repositório financial-services da Anthropic, recriando sua arquitetura orientada a habilidades usando apenas Python. Ele constrói um registro de habilidades pesquisável analisando o arquivo SKILL.md e cria um SkillAgent reutilizável, injetando roteiros de análise financeira na API de Mensagens da Anthropic, suportando ciclos iterativos de chamadas de ferramentas.","category":"技巧观点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Construindo agentes de análise financeira orientados por habilidades com Claude e Python - Aioga Notícias de IA","description":"Este tutorial é baseado no repositório financial-services da Anthropic, recriando sua arquitetura orientada a habilidades usando apenas Python. Ele constrói um registro de habilida...","url":"https://www.aioga.com/pt-BR/news/cms3k7su000n8roiytkztsme7/","contentTranslated":true,"sourceHash":"4ffb3b00cd754841","translatedAt":"2026-07-27T19:06:39.684Z"},"ru":{"title":"Создание финансового аналитического агента с навыками с использованием Claude и Python","summary":"Этот учебник основан на репозитории Anthropic financial-services и воспроизводит его архитектуру, управляемую навыками, на чистом Python. Путем анализа файла SKILL.md создается регистр навыков, доступный для поиска, и создается многократно используемый SkillAgent, который внедряет сценарии финансового анализа в Anthropic Messages API, поддерживая итеративный цикл вызова инструментов.","category":"技巧观点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Создание финансового аналитического агента с навыками с использованием Claude и Python - Aioga Новости ИИ","description":"Этот учебник основан на репозитории Anthropic financial-services и воспроизводит его архитектуру, управляемую навыками, на чистом Python. Путем анализа файла SKILL.md создается рег...","url":"https://www.aioga.com/ru/news/cms3k7su000n8roiytkztsme7/","contentTranslated":true,"sourceHash":"4ffb3b00cd754841","translatedAt":"2026-07-27T19:06:42.987Z"},"ar":{"title":"بناء وكيل ذكاء مالي قائم على المهارات باستخدام Claude وPython","summary":"هذا الدليل يستند إلى مستودع الخدمات المالية الخاص بـ Anthropic، ويعيد إنشاء بنيته المدفوعة بالمهارات باستخدام بايثون خالص. من خلال تحليل ملف SKILL.md يتم بناء سجل مهارات قابل للبحث، وإنشاء SkillAgent قابلة لإعادة الاستخدام، وحقن نصوص التحليل المالي في واجهة رسائل Anthropic، ودعم حلقة استدعاء الأدوات التكرارية.","category":"技巧观点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"بناء وكيل ذكاء مالي قائم على المهارات باستخدام Claude وPython - Aioga أخبار الذكاء الاصطناعي","description":"هذا الدليل يستند إلى مستودع الخدمات المالية الخاص بـ Anthropic، ويعيد إنشاء بنيته المدفوعة بالمهارات باستخدام بايثون خالص. من خلال تحليل ملف SKILL.md يتم بناء سجل مهارات قابل للبحث...","url":"https://www.aioga.com/ar/news/cms3k7su000n8roiytkztsme7/","contentTranslated":true,"sourceHash":"4ffb3b00cd754841","translatedAt":"2026-07-27T19:07:29.896Z"},"hi":{"title":"Claude और Python का उपयोग करके कौशल-संचालित वित्तीय विश्लेषण एजेंट बनाना","summary":"यह ट्यूटोरियल Anthropic के financial-services रिपॉजिटरी पर आधारित है और शुद्ध Python का उपयोग करके इसके स्किल-ड्रिवन आर्किटेक्चर को पुनः प्रस्तुत करता है। SKILL.md फ़ाइल का विश्लेषण करके एक खोज योग्य स्किल रजिस्ट्री बनाई जाती है, और पुन: प्रयोज्य SkillAgent बनाया जाता है, जो वित्तीय विश्लेषण परिदृश्यों को Anthropic Messages API में इंजेक्ट करता है, और उपकरण कॉल लूप के पुनरावर्ती संचालन का समर्थन करता है।","category":"技巧观点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Claude और Python का उपयोग करके कौशल-संचालित वित्तीय विश्लेषण एजेंट बनाना - Aioga AI समाचार","description":"यह ट्यूटोरियल Anthropic के financial-services रिपॉजिटरी पर आधारित है और शुद्ध Python का उपयोग करके इसके स्किल-ड्रिवन आर्किटेक्चर को पुनः प्रस्तुत करता है। SKILL.md फ़ाइल का विश्लेष...","url":"https://www.aioga.com/hi/news/cms3k7su000n8roiytkztsme7/","contentTranslated":true,"sourceHash":"4ffb3b00cd754841","translatedAt":"2026-07-27T19:07:30.518Z"},"it":{"title":"Costruire un agente di analisi finanziaria guidato dalle competenze con Claude e Python","summary":"Questo tutorial si basa sul repository financial-services di Anthropic e ricrea la sua architettura basata sulle competenze utilizzando solo Python. Analizzando il file SKILL.md viene costruito un registro delle competenze ricercabile e viene creato un SkillAgent riutilizzabile, iniettando scenari di analisi finanziaria nell'API Anthropic Messages, supportando cicli iterativi di chiamate agli strumenti.","category":"技巧观点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Costruire un agente di analisi finanziaria guidato dalle competenze con Claude e Python - Aioga Notizie IA","description":"Questo tutorial si basa sul repository financial-services di Anthropic e ricrea la sua architettura basata sulle competenze utilizzando solo Python. Analizzando il file SKILL.md vi...","url":"https://www.aioga.com/it/news/cms3k7su000n8roiytkztsme7/","contentTranslated":true,"sourceHash":"4ffb3b00cd754841","translatedAt":"2026-07-27T19:08:12.148Z"},"nl":{"title":"Het bouwen van een vaardigheidsgestuurde financiële analyse-agent met Claude en Python","summary":"Deze handleiding is gebaseerd op de financial-services repository van Anthropic en implementeert zijn vaardigheidgedreven architectuur volledig in Python. Door het SKILL.md-bestand te parseren, wordt een doorzoekbare vaardigheidsregister opgebouwd en wordt een herbruikbare SkillAgent gecreëerd, waarmee financiële analytescripts in de Anthropic Messages API worden geïnjecteerd, ter ondersteuning van iteratieve gereedschapsoproep-lussen.","category":"技巧观点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Het bouwen van een vaardigheidsgestuurde financiële analyse-agent met Claude en Python - Aioga AI-nieuws","description":"Deze handleiding is gebaseerd op de financial-services repository van Anthropic en implementeert zijn vaardigheidgedreven architectuur volledig in Python. Door het SKILL.md-bestand...","url":"https://www.aioga.com/nl/news/cms3k7su000n8roiytkztsme7/","contentTranslated":true,"sourceHash":"4ffb3b00cd754841","translatedAt":"2026-07-27T19:08:08.465Z"},"tr":{"title":"Claude ve Python kullanarak beceri odaklı finans analizi ajanı oluşturma","summary":"Bu öğretici, Anthropic'in financial-services deposuna dayanmakta olup, onun yetenek odaklı mimarisini saf Python ile yeniden üretmektedir. SKILL.md dosyasını çözümleyerek aranabilir bir yetenek kayıt tablosu oluşturur ve yeniden kullanılabilir SkillAgent yaratır, finansal analiz senaryolarını Anthropic Mesajları API'sine enjekte eder ve yinelemeli araç çağrısı döngüsünü destekler.","category":"技巧观点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Claude ve Python kullanarak beceri odaklı finans analizi ajanı oluşturma - Aioga AI Haberleri","description":"Bu öğretici, Anthropic'in financial-services deposuna dayanmakta olup, onun yetenek odaklı mimarisini saf Python ile yeniden üretmektedir. SKILL.md dosyasını çözümleyerek aranabili...","url":"https://www.aioga.com/tr/news/cms3k7su000n8roiytkztsme7/","contentTranslated":true,"sourceHash":"4ffb3b00cd754841","translatedAt":"2026-07-27T19:08:57.838Z"},"vi":{"title":"Xây dựng tác nhân phân tích tài chính dựa trên kỹ năng bằng Claude và Python","summary":"Hướng dẫn này dựa trên kho tài liệu financial-services của Anthropic, sử dụng Python thuần để tái hiện kiến trúc hướng theo kỹ năng của họ. Thông qua việc phân tích tệp SKILL.md để xây dựng danh mục kỹ năng có thể tìm kiếm, và tạo SkillAgent có thể tái sử dụng, tiêm kịch bản phân tích tài chính vào API Tin nhắn của Anthropic, hỗ trợ vòng lặp gọi công cụ lặp đi lặp lại.","category":"技巧观点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Xây dựng tác nhân phân tích tài chính dựa trên kỹ năng bằng Claude và Python - Tin tức AI Aioga","description":"Hướng dẫn này dựa trên kho tài liệu financial-services của Anthropic, sử dụng Python thuần để tái hiện kiến trúc hướng theo kỹ năng của họ. Thông qua việc phân tích tệp SKILL.md để...","url":"https://www.aioga.com/vi/news/cms3k7su000n8roiytkztsme7/","contentTranslated":true,"sourceHash":"4ffb3b00cd754841","translatedAt":"2026-07-27T19:08:48.937Z"},"id":{"title":"Membangun Agen Analisis Keuangan Berbasis Keterampilan dengan Claude dan Python","summary":"Tutorial ini didasarkan pada repositori layanan keuangan Anthropic, mengimplementasikan arsitektur berbasis keterampilan sepenuhnya dengan Python. Dengan menganalisis file SKILL.md, membangun daftar keterampilan yang dapat dicari, dan membuat SkillAgent yang dapat digunakan kembali, menyuntikkan skenario analisis keuangan ke API Pesan Anthropic, mendukung siklus pemanggilan alat secara iteratif.","category":"技巧观点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Membangun Agen Analisis Keuangan Berbasis Keterampilan dengan Claude dan Python - Berita AI Aioga","description":"Tutorial ini didasarkan pada repositori layanan keuangan Anthropic, mengimplementasikan arsitektur berbasis keterampilan sepenuhnya dengan Python. Dengan menganalisis file SKILL.md...","url":"https://www.aioga.com/id/news/cms3k7su000n8roiytkztsme7/","contentTranslated":true,"sourceHash":"4ffb3b00cd754841","translatedAt":"2026-07-27T19:09:36.609Z"},"th":{"title":"สร้างตัวแทนวิเคราะห์การเงินที่ขับเคลื่อนด้วยทักษะด้วย Claude และ Python","summary":"คู่มือนี้อิงจาก仓库บริการการเงินของ Anthropic ใช้ Python ล้วนในการจำลองสถาปัตยกรรมขับเคลื่อนด้วยทักษะ โดยการวิเคราะห์ไฟล์ SKILL.md เพื่อสร้างทะเบียนทักษะที่สามารถค้นหาได้ และสร้าง SkillAgent ที่นำกลับมาใช้ใหม่ได้ ฝังสคริปต์การวิเคราะห์การเงินลงใน API ข้อความของ Anthropic รองรับการวนเรียกใช้งานเครื่องมือแบบซ้ำ ๆ","category":"技巧观点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"สร้างตัวแทนวิเคราะห์การเงินที่ขับเคลื่อนด้วยทักษะด้วย Claude และ Python - ข่าว AI Aioga","description":"คู่มือนี้อิงจาก仓库บริการการเงินของ Anthropic ใช้ Python ล้วนในการจำลองสถาปัตยกรรมขับเคลื่อนด้วยทักษะ โดยการวิเคราะห์ไฟล์ SKILL.md เพื่อสร้างทะเบียนทักษะที่สามารถค้นหาได้ และสร้าง Sk...","url":"https://www.aioga.com/th/news/cms3k7su000n8roiytkztsme7/","contentTranslated":true,"sourceHash":"4ffb3b00cd754841","translatedAt":"2026-07-27T19:09:41.258Z"},"pl":{"title":"Tworzenie agenta inteligentnej analizy finansowej opartego na umiejętnościach za pomocą Claude i Pythona","summary":"Ten samouczek opiera się na repozytorium financial-services firmy Anthropic i odtwarza jego architekturę opartą na umiejętnościach w czystym Pythonie. Buduje przeszukiwalny rejestr umiejętności poprzez analizę pliku SKILL.md oraz tworzy wielokrotnego użytku SkillAgent, wstrzykując scenariusze analizy finansowej do Anthropic Messages API, wspierając iteracyjną pętlę wywołań narzędzi.","category":"技巧观点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Tworzenie agenta inteligentnej analizy finansowej opartego na umiejętnościach za pomocą Claude i Pythona - Aioga Wiadomości AI","description":"Ten samouczek opiera się na repozytorium financial-services firmy Anthropic i odtwarza jego architekturę opartą na umiejętnościach w czystym Pythonie. Buduje przeszukiwalny rejestr...","url":"https://www.aioga.com/pl/news/cms3k7su000n8roiytkztsme7/","contentTranslated":true,"sourceHash":"4ffb3b00cd754841","translatedAt":"2026-07-27T19:10:26.959Z"}}}}