Data

Deep Research turns a vague topic into a high-quality report using an eight-step workflow: decompose questions, source tiered references, extract fact cards, build comparison frameworks, validate conclusions, and package deliverables. Use it for in-depth research or comparative analysis.

Feishu Bitable creates, queries, and manages Feishu Bitable apps, tables, records, fields, and views with support for 27 field types, advanced filters, batch operations, and view management. Use it when building or maintaining Feishu multi-dimensional tables.

Research to Diagram performs deep web research on a topic and automatically generates a visual knowledge relationship graph as a PDF. Use it when you need to explore and visualize complex relationships from scratch, such as character networks or technical architectures.

Data Scientist processes and analyzes data files using DuckDB and Polars for high-performance workloads. Use it when you need to query, filter, join, aggregate, visualize, or clean CSV, Parquet, JSON, or DuckDB datasets.

Pi History Ingest extracts durable knowledge from Pi coding agent sessions and imports it into an Obsidian wiki. Use it when you want to mine past Pi sessions for insights, sync new or modified sessions from ~/.pi/agent/sessions, or ask things like "process my Pi history".

Session Brain builds and maintains a searchable topic graph over agent session history by clustering transcripts and history-only sessions using local TF-IDF, then writes an interactive graph for exploration. Use when you want to survey what you've been working on, find stale topics, or see how topics connect.

Wiki Dashboard creates dynamic, queryable dashboard views of an Obsidian vault using Obsidian Bases or Dataview. Use it when you need a table, cards, or grouped view of notes by folder, tag, or computed property.

Company Valuation estimates intrinsic value using DCF, relative peer multiples, and sum-of-parts methods, then blends them into an implied share price with upside/downside. Use it for questions like 'what is AAPL worth' or to assess over/undervaluation.

Earnings Preview generates a pre-earnings briefing for any stock using Yahoo Finance data. Use it to prepare for upcoming earnings reports, understand analyst expectations, and review beat/miss history.

Earnings Recap generates a post-earnings analysis for any stock using Yahoo Finance data, covering beat/miss results, revenue trends, and stock price reaction. Use this when someone asks about a company's recent earnings outcome.

Estimate Analysis deep-dives into analyst estimates and revision trends for any stock using Yahoo Finance data. Use it to understand EPS and revenue forecast changes, revision momentum, and growth projections across periods.

ETF Premium calculates an ETF's market price premium or discount relative to its NAV using Yahoo Finance data, and decomposes surges into NAV-driven vs structural components. Use it when analyzing gaps between ETF price and underlying value, especially for bond, leveraged, crypto, and international ETFs.