IIIIQIIII/Finance-Agent-Skills

IIIIQIIII/Finance-Agent-Skills

Skill Claude CodeCodex

Expert guide for building applications with the Claude Agent SDK for Python. Use when working with the SDK to create automated workflows, implement custom tools (in-process MCP servers), configure hooks for agent behavior control, or integrate Claude Code into Python applications.

IIIIQIIII/Finance-Agent-Skills

Skill Claude CodeCodex

Expert guidance for setting up, configuring, and troubleshooting Claude Code Router - a powerful tool for routing Claude Code requests to different LLM models and providers. Use when working with multi-model setups, cost optimization, provider switching, or advanced Claude Code configurations.

IIIIQIIII/Finance-Agent-Skills

Skill Claude CodeCodex

Perform financial text analysis using FinBERT models including sentiment analysis, ESG classification, and forward-looking statement detection on financial documents and reports.

IIIIQIIII/Finance-Agent-Skills

Skill Claude CodeCodex

Financial NLP toolkit with 5 tasks (FPB sentiment, FiQA entity sentiment, Headline classification, NER, FLS detection) across 3 LLM providers (Qwen, Kimi, GLM). Supports dual prompt strategy (short/long), numerical confidence scoring, and pip-installable package structure.

IIIIQIIII/Finance-Agent-Skills

Skill Claude CodeCodex

Expert guidance for building applications with LangChain, LangGraph, and LangSmith SDKs. Provides code examples, best practices, and implementation patterns for Python and JavaScript/TypeScript based on official documentation.

IIIIQIIII/Finance-Agent-Skills

Skill Claude CodeCodex

Latent Dirichlet Allocation (LDA) topic modeling for financial text analysis using Scikit-learn and Gensim frameworks. Use when performing topic modeling, text mining, financial document analysis, or extracting themes from large text corpora.

IIIIQIIII/Finance-Agent-Skills

Skill Claude CodeCodex

Guide for fine-tuning and training large language models using LLaMA-Factory. Use when users want to train, fine-tune, evaluate, or deploy LLMs locally, including tasks like supervised fine-tuning (SFT), LoRA adaptation, RLHF, preference optimization (DPO/KTO), or model deployment.

IIIIQIIII/Finance-Agent-Skills

Skill Claude CodeCodex

Text vectorization and semantic analysis using Alibaba Cloud DashScope's text-embedding-v4 model. Provides 6 major capabilities - semantic search, recommendation systems, text clustering, zero-shot classification, anomaly detection, and advanced embedding features (sparse/dense vectors, hybrid search).

IIIIQIIII/Finance-Agent-Skills

Skill Claude CodeCodex

Access and analyze SEC EDGAR filings data using comprehensive APIs for searching, downloading, parsing financial statements, insider trading, institutional holdings, and extracting structured data from 10-K, 10-Q, 8-K and other SEC forms.

IIIIQIIII/Finance-Agent-Skills

Skill Claude CodeCodex

A Python toolkit for sentence segmentation with unified API supporting NLTK, spaCy, PySBD, and Stanza frameworks. Easily split text into sentences using multiple NLP libraries through a consistent interface.

IIIIQIIII/Finance-Agent-Skills

Skill Claude CodeCodex

Expert guidance for working with vLLM - a fast, easy-to-use library for Large Language Model (LLM) inference and serving. Use when deploying LLMs, setting up inference servers, optimizing model serving, implementing distributed inference, or troubleshooting vLLM performance issues.