LangAlpha

Workspace and research management — dispatch analyses, monitor running agents, manage workspaces and threads.

Draw price lines, trendlines, zones, and event markers directly on a stock's price chart — reach for it whenever you'd otherwise describe a level, pattern, or event in prose. Renders live on MarketView and as a clickable preview card in any other chat.

Event tracker: earnings dates, economic releases, conferences, regulatory events

Financial model audit: structural checks, formula validation, integrity testing

Comparable company analysis: operating metrics, valuation multiples, peer benchmarking

DCF valuation: free cash flow projections, WACC, terminal value, sensitivity analysis

Self-contained styled HTML reports written to results/: PDF-exportable research documents with inline data, charts, and theme-aware CSS

Inline HTML widgets: charts, dashboards, data tables rendered directly in the chat via ShowWidget

Interactive web dashboards: stock trackers, sector heatmaps, portfolio monitors — served via preview URL

Design-quality reference for financial-research visual output: typography, color, composition, and avoiding generic AI aesthetics

Manage user profile including watchlists, portfolio, and preferences.

Web scraping with Scrapling: MCP tool wrappers for quick fetching, plus direct Python API for advanced scraping with selectors, sessions, and spiders

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

Search X (Twitter) posts, pull user profiles, fetch specific tweets, and read reply threads for sentiment, news, and event research. Triggers on 'X', 'Twitter', 'tweets about', 'sentiment on', 'what are people saying about', 'historical tweets', or any request to read public X content.

Report issues and propose fixes to improve your own capabilities when you encounter errors or limitations

First-time user onboarding to set up investment profile, watchlists, portfolio, and preferences.

Create and manage scheduled and price-triggered automations.

Pre-earnings analysis: consensus estimates, key metrics to watch, bull/base/bear scenarios

Stock screening and idea generation: quantitative screens, thematic analysis, shortlist

Daily research briefing: overnight news, pre-market movers, earnings, macro events

Integrated 3-statement financial model: linked income statement, balance sheet, and cash flow

Investment deck QC: number consistency, data-narrative alignment, IB language, formatting audit

Competitive landscape analysis: positioning, scorecards, moat assessment, market share trends

Post-earnings analysis report: beat/miss breakdown, estimate revisions, thesis impact, charts

Full equity research initiation: company research, financial model, valuation, charts, 30-50 page report

Update financial model with new quarterly actuals, revised estimates, and updated price target

Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.

Industry landscape report: market size, competitive dynamics, company profiles, valuation context

Investment thesis scorecard: track pillars, risks, catalysts, and conviction over time