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.zipInstalls 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 AAPLKey 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
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:
- 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 - Risk metrics — use the
financekitMCP 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.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| chart (this skill) | 0 | 3mo | No flags | Intermediate |
| quant-analyst | 103 | 2mo | No flags | Advanced |
| stock-analyzer | 71 | 2mo | Review | Beginner |
| creating-financial-models | 36 | 8mo | Review | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
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