gracefullight/stock-checker
4 skills17.7k installs112 starsGitHub
Install
npx skills add https://github.com/gracefullight/stock-checkerSkills in this repo
1Stock Analysisstock-analysis equips solo builders and operators who want market and portfolio visibility without leaving the agent terminal. It drives Yahoo Finance-backed scripts via uv, emphasizing ticker-only arguments without extra command fluff. You can analyze one symbol or batch-compare names like AAPL, MSFT, and GOOGL, emit JSON for downstream automation, and extend the same path to major cryptocurrencies. Version 5.0 adds portfolio lifecycle management and scheduled-style performance reporting across standard horizons. Stock runs expose eight analytic dimensions; crypto runs use three tailored dimensions on liquid pairs. Install metadata expects the uv binary (documented brew install path). Treat outputs as informational research, not trading advice, and pair with your own risk rules before any allocation decisions.10.1kinstalls2Yahoo Financeyahoo-finance packages a Python command-line interface that wraps Yahoo Finance data through yfinance so solo builders can script stock research without provisioning paid market APIs. Install uv if missing, make the yf script executable, and dependencies resolve on first run via inline metadata. Use it when your agent needs comparable tickers, valuation inputs, earnings dates, options chains, dividend history, or analyst rating summaries for side projects, trading assistants, or growth dashboards. It fits Grow analytics for ongoing monitoring and Validate or Idea work when you sanity-check public comps or macro-linked symbols before pricing a product. The skill is integration-shaped CLI knowledge, not a hosted brokerage. You remain responsible for rate limits, disclaimers, and non-advice use of market data.3.9kinstalls3Trading AnalysisTrading-analysis is an agent skill that turns ticker requests into professional investment reports by combining Yahoo Finance data, a broad technical indicator stack, Claude-generated commentary, and multi-panel charts. Solo builders who run personal portfolios, write finance newsletters, or prototype trading tools install it when they need repeatable analysis for symbols such as SPY, AAPL, or TSLA without manually stitching spreadsheets and chart scripts. The workflow fetches live prices, computes RSI, MACD, moving averages, Bollinger Bands, and related metrics, renders four visualization types, and packages everything as Markdown plus JSON for downstream automation. It is phase-specific on the Grow analytics shelf because the primary value is ongoing market insight and documented recommendations, not shipping application code—though fintech founders may still invoke it while validating data pipelines in side experiments.2.1kinstalls4Backtesting Trading StrategiesBacktesting Trading Strategies is an agent skill from the stock-checker lineage for indie builders validating systematic trading ideas before production capital. It documents how to copy settings into settings.yaml, pick a data provider and bar interval, set realistic commission and slippage, optionally cap position risk, and emit trades, equity curves, and charts into a reports folder. Strategy defaults cover common technical templates so you can override parameters via CLI flags rather than rewriting boilerplate. Prism shelves it under Validate → prototype because backtests answer “does this rule set survive history?”—a natural handoff to Build when you harden the runner or Ship when you add monitoring. It is configuration-first procedural knowledge, not investment advice.1.5kinstalls