agentskills.codes

Quick technical analysis for a ticker. Tara reads price action, levels, and indicators. Usage: /chart AAPL

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

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.

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