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Finance Blueprint

Run Financial Analysis With AI Agent Skills

himself65May 2026

A collection of 33+ agent skills for stock analysis, earnings, trading strategies, social intelligence, data APIs, startup evaluation, and skill creation.

Market AnalysisData ProvidersSocial ReadersStartup ToolsUI ToolsSkill Creator

Install Command

Run this command to deploy the blueprint to your environment.

What problem does this solve?

Gives your AI agent a complete financial research toolkit covering valuation, earnings analysis, trading patterns, market data, social feeds, sentiment, and startup assessment. Instead of switching between six disconnected tools, your agent chains skills across market analysis, data providers, and social research with shared context.

How does it work?

Once installed via npx, you run skills individually or combine them in workflows. 1. Research a company using market analysis skills (valuation, earnings, correlations). 2. Supplement with external data (sentiment, Funda AI research, TradingView, crypto markets). 3. Read social feeds (Twitter, Discord, Telegram, LinkedIn, Y Combinator) for early signals. 4. For startups, analyze through VC, job applicant, and founder lenses. 5. Use the skill creator to build custom financial skills. Output: a fully informed investment decision with data, analysis, and context layers.

Included Skill Groups

What's the biggest win?

Build investment theses from first principles with live data and research synthesis in one conversation, instead of jumping between yfinance, Twitter, Bloomberg, and custom calculators.

What should I know technically?

Requires Node 18+ for plugin installation. Market analysis skills use Python via shell (yfinance, numpy, pandas auto-install). Data provider skills rely on external APIs and MCP servers (Funda AI, Adanos, opencli). Social readers depend on opencli adapters and tdl for Telegram. TradingView reader uses Chrome DevTools Protocol (CDP) for desktop app scraping. All skills follow the Agent Skills open standard.

What should I watch out for?

Most skills require external dependencies or APIs: yfinance needs Python 3.8+; Funda AI and Adanos sentiment require paid subscriptions; social readers depend on opencli adapters and browser automation; TradingView and Hyperliquid readers need active browser windows. Educational disclaimer: nothing here constitutes financial advice.

Key Features

Market Analysis

DCF valuations, earnings forecasts, trading patterns, liquidity, and options payoff across 11 stock analysis skills.

Data Providers

Real-time market data, sentiment, Funda AI research, TradingView, crypto exchanges, and geopolitical monitoring.

Social Readers

Read-only access to Twitter/X, Discord, Telegram, LinkedIn, Y Combinator, and 90+ finance/research sources via opencli.

Startup Tools

Multi-perspective startup analysis from VC investor, job applicant, and founder/CEO viewpoints.

UI Generation

Render interactive charts, payoff diagrams, and financial widgets in Claude conversations.

Tools in this Blueprint

yfinance
OpenClaw
Funda AI
Adanos Finance API

About This Blueprint

License
MIT
Industry
Finance
Skills
0 workflows, 0 sub-skills, 33 standalone