Create an interactive Plotly chart for a technical indicator on a symbol.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionindicator-chartExecute the skills CLI command in your project's root directory to begin installation:
Fetches indicator-chart from marketcalls/openalgo-indicator-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate indicator-chart. Access via /indicator-chart in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Create an interactive Plotly chart for a technical indicator on a symbol.
Parse $ARGUMENTS as: indicator symbol exchange interval
$0 = indicator name (e.g., ema, rsi, macd, supertrend, bbands, adx, stochastic, ichimoku, obv, vwap). Default: ema$1 = symbol (e.g., SBIN, RELIANCE, NIFTY, AAPL). Default: SBIN$2 = exchange (e.g., NSE, BSE, NFO, NSE_INDEX). Default: NSE. For US symbols use: YFINANCE$3 = interval (e.g., D, 1h, 5m). Default: DIf no arguments, ask the user which indicator and symbol they want.
charts/{indicator_name}/ directory if it doesn't exist (on-demand).py file in charts/{indicator_name}/ named {symbol}_{indicator}_chart.pyrules/assets/{indicator}_chart/chart.py as starting point (if available).env from project root using find_dotenv()client.history() (or yfinance for US symbols)openalgo.tatemplate="plotly_dark" and xaxis_type="category"make_subplots for multi-panel layouts{symbol}_{indicator}_chart.htmlfig.show()| Indicator | Chart Type |
|---|---|
| ema, sma, wma, dema, tema, hma | Line overlay |
| bbands | Fill-between bands + midline |
| supertrend | Color-coded line (green=up, red=down) |
| ichimoku | 5 lines + cloud fill |
| keltner, donchian | Fill-between channels |
| sar | Dot markers above/below price |
| ma-envelopes | Upper/lower band lines |
| Indicator | Chart Type |
|---|---|
| rsi | Line + horizontal 30/70 zones |
| macd | Line + signal + histogram bars |
| stochastic | K% + D% lines + 20/80 zones |
| adx | DI+, DI-, ADX lines + 25 threshold |
| cci | Line + horizontal +100/-100 zones |
| williams_r | Line + -20/-80 zones |
| obv | Line (cumulative) |
| mfi | Line + 20/80 zones |
| volume | Bar chart (green/red by price direction) |
| atr | Line (volatility) |
If user asks for "multi" or multiple indicators, create a comprehensive multi-panel chart with:
If the indicator generates clear buy/sell signals (e.g., crossover, supertrend direction change), add triangle markers:
| Interval | Default Lookback |
|---|---|
| D | 1 year (365 days) |
| 1h | 6 months (180 days) |
| 15m, 30m | 3 months (90 days) |
| 5m | 1 month (30 days) |
| 1m | 7 days |
After creating the chart, print a brief explanation:
SBIN — RSI(14) Analysis
Current RSI: 42.3
Interpretation: Neutral zone (between 30-70). Neither overbought nor oversold.
Trend: RSI has been declining from 65 over the past 5 bars, suggesting weakening momentum.
/indicator-chart ema SBIN NSE D
/indicator-chart rsi RELIANCE NSE D
/indicator-chart macd AAPL YFINANCE D
/indicator-chart supertrend NIFTY NSE_INDEX D
/indicator-chart multi SBIN NSE D
/indicator-chart bbands INFY NSE 1h
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Useful defaults in indicator-chart — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: indicator-chart is focused, and the summary matches what you get after install.
indicator-chart fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend indicator-chart for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
indicator-chart is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in indicator-chart — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: indicator-chart is the kind of skill you can hand to a new teammate without a long onboarding doc.
indicator-chart is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
indicator-chart has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend indicator-chart for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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