shamu0509/nse-bse-mcp
Serve real-time and historical Indian stock data from NSE and BSE using Model Context Protocol for easy market analysis without API keys.
Serve real-time and historical Indian stock data from NSE and BSE using Model Context Protocol for easy market analysis without API keys.
npx skills add shamu0509/nse-bse-mcpServe real-time and historical Indian stock data from NSE and BSE using Model Context Protocol for easy market analysis without API keys.
Curated list of LLM-driven trading agents, MCP servers, and agent skills for market research, strategy, and execution.
Generate interactive AI role-play training activities as self-contained HTML. Agent-first authoring via Agent Skills (Claude Code, Cursor, Gemini CLI, Codex).
Perform a detailed SWOT analysis — strengths, weaknesses, opportunities, and threats with actionable recommendations. Use when doing strategic assessment, competitive analysis, or evaluating a product or business position.
A self-hostable, open-source, semantically-searchable Agent Skills registry delivered over MCP, with a three-tier progressive disclosure architecture.
Store persistent AI agent memory with conversation history, vector search, knowledge base, and fact extraction in TypeScript
This skill should be used when analyzing recent market-moving news events and their impact on equity markets and commodities. Use this skill when the user requests analysis of major financial news from the past 10 days, wants to understand market reactions to monetary policy decisions (FOMC, ECB, BOJ), needs assessment of geopolitical events' impact on commodities, or requires comprehensive review of earnings announcements from mega-cap stocks. The skill automatically collects news using WebSearch/WebFetch tools and produces impact-ranked analysis reports. All analysis thinking and output are conducted in English.