langchain-chat-models
A unified interface for integrating and managing LLM chat providers like OpenAI, Anthropic, Google, Azure, and Bedrock within LangChain applications.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
389 skills found
A unified interface for integrating and managing LLM chat providers like OpenAI, Anthropic, Google, Azure, and Bedrock within LangChain applications.
Analyze and audit Excel spreadsheets to understand logic, identify formula errors, detect risks, and generate documentation for legacy or unknown files.
Multi-LLM code review pipeline using consensus-based analysis to detect security, architectural, and quality issues.
A testing utility designed to simulate prompt injection attacks and validate security scanners for AI agent skills.
Framework for multi-agent collaboration using the Google A2A protocol. Enables messaging, task delegation, and cross-agent coordination for CLI-based AI tools.
Automated code maintenance loop using Trunk to perform linting, formatting, and iterative error resolution.
Audit and optimize your AI prompts with Token Surgeon. Detect 10 common waste patterns, calculate efficiency, and reduce token usage for better prompt performance.
Train and manage neural networks in distributed E2B sandboxes using the Flow Nexus platform, supporting custom architectures like Transformers, LSTMs, and GANs.
GPT Researcher is an autonomous AI agent for comprehensive web and local research, generating detailed, cited reports using a planner-executor-publisher architecture.
Generate hierarchical, token-efficient AGENTS.md files for AI coding agents to provide repository-wide context and project-specific guidelines.
Intelligent unit and integration test generation powered by Minion framework, featuring business logic validation, boundary testing, and Vitest integration.
Generate and update PyTorch-compliant function and method docstrings using reStructuredText/Sphinx conventions.