⚠️Install with caution. This skill has very few installs. Always review the source and verify it on clawhub.ai before installing. Community-built skills run with agent permissions — only install ones you trust.

🧠 LLMs & Model APIs

Langchain Skillv1.0.2

Name: Langchain Skill
Author: s0nocean

langchain-skill

s0nocean

Python skill using LangChain to manage conversation memory and chains, enabling context-aware, concise Vietnamese replies with customizable prompts.

fine-tuningprompt-engineering

Download Package View on ClawHub

Installs (all time)

Installs (current)

Downloads

863

Stars

CreatedMar 15, 2026

UpdatedMay 9, 2026

Install & Quick Start

Install via ClawdBot CLI:

clawdbot install s0nocean/langchain-skill

Skill Package2 files

📋SKILL.mdmarkdown

Failed to load file.

Quality Score

B53/100

Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.

Market Validation4/35

· 1 installs (minimal)
· 75 downloads (minimal demand)

Documentation16/25

· SKILL.md present
· Brief documentation (≥500 chars)
· Contains usage examples or trigger description
· Detailed summary

Package Completeness8/15

· skillAssets present (1 files)

💡

Usage Guide

Generated Mar 21, 2026

Researchers and AcademicsBusiness AnalystsCustomer Support TeamsLegal ProfessionalsHealthcare Providersintermediate

💡 Application Scenarios

Academic Research AssistanceEducation and Research

Researchers can upload PDFs of academic papers and ask specific questions to extract key insights, summarize findings, or clarify concepts, enhancing literature review efficiency. The skill's RAG capability ensures accurate, document-based answers without manual searching.

Customer Support AutomationRetail and E-commerce

Businesses can integrate this skill to handle customer queries by accessing uploaded product manuals or FAQs via RAG, providing precise answers and performing calculations for pricing or specifications. The memory feature maintains context across interactions for personalized support.

Financial Analysis and ReportingFinance and Banking

Financial analysts can use the skill to process uploaded PDF reports, ask questions about data trends, and perform calculations like compound interest or ROI. Tool calling enables real-time web searches for market data, streamlining analysis workflows.

Legal Document ReviewLegal Services

Law firms can upload legal documents as PDFs and query the skill to summarize clauses, identify key terms, or answer specific legal questions. The agent's reasoning helps in interpreting complex language, reducing manual review time.

Healthcare Information RetrievalHealthcare

Healthcare providers can upload medical guidelines or research PDFs and ask for explanations of procedures, drug interactions, or treatment summaries. The skill ensures accurate, document-based responses to support clinical decision-making.

💼 Business Models

SaaS SubscriptionRecurring subscription fees

Offer the skill as a cloud-based service with tiered pricing based on usage limits, such as number of queries or PDF uploads. Revenue comes from monthly or annual subscriptions, targeting small to medium businesses needing AI-powered document analysis.

Enterprise LicensingLicense fees and maintenance contracts

Sell customized licenses to large organizations for on-premise or private cloud deployment, including features like enhanced security, multi-user access, and integration with existing systems. Revenue is generated through one-time fees or annual maintenance contracts.

Freemium with Premium FeaturesUpgrade fees and in-app purchases

Provide a free version with basic query and PDF upload limits, then charge for advanced features like higher memory capacity, additional tool integrations, or priority support. Revenue streams from upgrades and in-app purchases for power users.

💬 Integration Tip

Ensure Python virtual environment is set up with required LangChain libraries and API keys configured; test with sample queries before deployment to verify tool calling and RAG functionality.