金融分析代理 是做什麼的？
創建用於金融分析、投資研究與投資組合管理的代理。涵蓋金融數據處理、風險分析與建議生成。適用於建構投資分析工具、機器人顧問、投資組合追蹤器或金融情報系統。
創建用於金融分析、投資研究與投資組合管理的代理。涵蓋金融數據處理、風險分析與建議生成。適用於建構投資分析工具、機器人顧問、投資組合追蹤器或金融情報系統。
這項技能（qodex-ai/financial-analysis-agent）提供了一套全面的工具，用於創建能夠執行金融分析、投資研究和投資組合管理的 AI 代理。它涵蓋了從數據處理到風險分析與建議生成的整個工作流程。對於開發投資分析工具、機器人顧問、投資組合追蹤器或金融情報系統的開發者來說，這項技能特別有用。該代理能夠自動化複雜的金融任務，幫助用戶做出更明智的投資決策。
npx skills add https://github.com/qodex-ai/ai-agent-skills/tree/main/skills/financial-analysis-agentInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
創建用於金融分析、投資研究與投資組合管理的代理。涵蓋金融數據處理、風險分析與建議生成。適用於建構投資分析工具、機器人顧問、投資組合追蹤器或金融情報系統。
This repo contains 3 individual skills — each has its own dedicated page.
Generate creative domain names and brand identifiers. Produces memorable, available domain suggestions with wordplay and semantic relevance.
Design and coordinate multi-agent systems where specialized agents work together to solve complex problems. Covers agent communication, task delegation, workflow orchestration, and result aggregation. Use when building coordinated agent teams, complex workflows, or systems requiring specialized expertise across domains.
Comprehensive word document processing with full format support. Handles creation, editing, formatting preservation, tracked changes, and metadata management.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.