Technical analysis assistant for stock market data, providing trends and indicators for specific tickers.

Install

mkdir -p .claude/skills/chart && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/13245" && unzip -o skill.zip -d .claude/skills/chart && rm skill.zip

Installs to .claude/skills/chart

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Quick technical analysis for a ticker. Tara reads price action, levels, and indicators. Usage: /chart AAPL
106 charsno explicit “when” trigger
Intermediate

Key capabilities

  • Fetch full market data for a ticker
  • Gather technical indicators (SMA, RSI, MACD, ATR, volume)
  • Obtain risk metrics (Beta, volatility)
  • Analyze price action and support/resistance levels
  • Present a technical analysis report

How it works

The skill fetches market data and technical indicators in parallel, then spawns an agent with a specific persona to analyze the data and generate a technical chart report.

Inputs & outputs

You give it
A stock ticker symbol (e.g., AAPL)
You get back
A technical analysis report including price history, indicators, and risk metrics

When to use chart

  • Analyzing stock trends
  • Checking technical indicators
  • Financial data analysis

About this skill

Technical Chart Check

Tara reads the chart for the given ticker. Information only — not a trade signal.

Arguments

The first argument is the ticker symbol (required). Example: /chart AAPL

Execution

Step 1: Load Persona

Read Tara's BMad agent skill: {project-root}/.claude/skills/agent-tara/SKILL.md and {project-root}/.claude/skills/agent-tara/references/technical-analysis.md.

Step 2: Gather Data (parallel)

Run both of these in parallel:

  1. Full market data — run python scripts/fetch_data.py <TICKER> via Bash to get price history, technicals (SMA, RSI, MACD, ATR, volume), and 52-week range
  2. Risk metrics — use the financekit MCP server to get additional technical indicators for <TICKER> (Bollinger Bands, ADX, Stochastic if available) and risk metrics (Beta, volatility)

Step 3: Spawn Tara

Spawn a single Agent with Tara's persona and all gathered data:

{contents of agent-tara SKILL.md}

{contents of agent-tara references/technical-analysis.md}

## Market Data for {TICKER}
{Full MARKET_DATA JSON from fetch_data.py — especially price history, technicals, and volume}

## Additional Indicators
{Risk metrics and additional indicators from financekit}

## Your Task
Analyze {TICKER} technically using your full output format. Use the actual numbers — cite exact RSI values, MACD state, specific support/resistance levels from recent price history, MA positions, and volume trends. Be direct about what the chart says. Keep your analysis under 400 words.

End with: *📈 Information only — not a trade signal.*

Use model haiku for the agent.

Step 4: Present

Present Tara's full response directly to the user. After her response, add:

Follow up? Ask Tara anything, or run /analyze <TICKER> for the full 13-agent desk.

When not to use it

  • When not performing quick technical analysis for a ticker
  • When not reading price action, levels, and indicators
  • When seeking a trade signal

Limitations

  • Provides information only, not a trade signal
  • Analysis is under 400 words
  • Requires a ticker symbol as the first argument

How it compares

This skill provides a structured, agent-driven technical analysis of a stock ticker, unlike manually gathering and interpreting various financial data points.

Compared to similar skills

chart side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
chart (this skill)03moNo flagsIntermediate
quant-analyst1032moNo flagsAdvanced
stock-analyzer712moReviewBeginner
creating-financial-models368moReviewAdvanced

Try saying

Example prompts that trigger this skill in your AI assistant.

You might also like

quant-analyst

zenobi-us

Expert quantitative analyst specializing in financial modeling, algorithmic trading, and risk analytics. Masters statistical methods, derivatives pricing, and high-frequency trading with focus on mathematical rigor, performance optimization, and profitable strategy development.

103355

stock-analyzer

FrancyJGLisboa

Provides comprehensive technical analysis for stocks and ETFs using RSI, MACD, Bollinger Bands, and other indicators. Activates when user requests stock analysis, technical indicators, trading signals, or market data for specific ticker symbols.

71214

creating-financial-models

anthropics

This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions

36161

reconciliation

anthropics

Reconcile accounts by comparing GL balances to subledgers, bank statements, or third-party data. Use when performing bank reconciliations, GL-to-subledger recs, intercompany reconciliations, or identifying and categorizing reconciling items.

30139

analyzing-financial-statements

anthropics

This skill calculates key financial ratios and metrics from financial statement data for investment analysis

32134

us-stock-analysis

tradermonty

Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., "analyze AAPL", "compare TSLA vs NVDA", "give me a report on Microsoft"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.

24137

Search skills

Search the agent skills registry