stock-analyzer: Technical Analysis for Trading Agents

Where this fits

You're building a trading assistant that users ask, "Is NVDA overbought?" or "Compare TSLA and AAPL on momentum." Without a dedicated skill, your agent would need to fetch raw price data, compute indicators manually, and interpret them—error-prone and slow. The stock-analyzer skill plugs directly into your agent, turning natural language queries into technical analysis results with RSI, MACD, Bollinger Bands, moving averages, and actionable buy/sell signals.

Why agents benefit

• Instant indicator calculation – No need to implement RSI, MACD, or Bollinger Bands from scratch; the skill handles all math and returns structured values.
• Signal generation – Combines multiple indicators into clear buy/sell/hold recommendations, so your agent can respond with actionable advice rather than raw numbers.
• Multi-stock comparison – Ranks several tickers by technical strength, ideal for portfolio screening or watchlist prioritization.
• ETFs included – Works beyond single stocks, covering ETFs for broader market or sector analysis.
• Natural language parsing – The skill activates on phrases like "technical analysis," "trading signals," or specific ticker requests, fitting seamlessly into conversational flows.

Practical scenarios

Pre-market check for a trading bot

Your agent runs a daily routine: for each ticker in a watchlist, it calls stock-analyzer to get RSI and MACD signals. If conditions match your strategy (e.g., RSI < 30 and MACD bullish crossover), the agent triggers a buy order via your brokerage API.

Portfolio risk alerting

A user asks, "Any of my holdings showing overbought conditions?" The agent loops through the portfolio tickers, uses the skill to compute RSI and Bollinger Bands, and replies with a summary of which positions are stretched and might warrant profit-taking.

Comparative analysis for research reports

An analyst prompt: "Compare the technical strength of AMD, INTC, and QCOM over the last month." The skill returns indicator values for each, and the agent formats a comparative table with rankings and a brief narrative on which looks strongest.

Add it to your agent workflow

Install the skill using the OpenAgentSkill CLI:

npx skills add FrancyJGLisboa/agent-skill-creator --skill stock-analyzer

Then in your agent's tool configuration, register the skill and let it handle queries like:

User: "What's the MACD signal for SPY?"
Agent: [calls stock-analyzer with ticker=SPY, indicator=MACD]
Response: "MACD is bullish: the MACD line (12.34) is above the signal line (11.98), with a positive histogram."

The skill returns structured data (JSON) that you can format for chat, dashboards, or further processing.

Compare before adopting

Before committing, evaluate:

• Quality signals – Does the skill provide accurate, up-to-date indicator calculations? Check the README for methodology and edge cases.
• Maintenance freshness – Last reviewed July 2026; verify the indicator formulas haven't drifted from market standards.
• Alternatives – Other financial skills exist (e.g., price feeds, fundamental analysis). Decide if you need only technicals or a broader suite.
• Workflow fit – Does the skill's activation trigger match your agent's intent classification? Test with your actual user prompts.

Why it is worth tracking

With 2,332 stars and active review cycles, this skill shows community trust and ongoing maintenance. Its clean separation of indicator logic from signal generation makes it a solid building block for trading agents. Evaluate it when you need to add technical analysis without reinventing the wheel—and check for updates as the skill evolves. For a deeper look, see the skill page on OpenAgentSkill.