visualise

visual-explainer is an agent skill that renders architecture explanations, diff reviews, plan audits, data tables, and project recaps as self-contained HTML pages or slide decks. It replaces fragile ASCII diagrams and terminal tables with readable typography, themes, and browser-based interaction. The repository provides installation or rules-based integration paths for Claude Code, Pi, Codex, OpenCode, and Cursor, depending on what each harness supports.

tradingview-mcp bridges Claude Code or a terminal CLI to a local TradingView Desktop session through Chrome DevTools Protocol. It supports Pine Script iteration, symbol and timeframe navigation, indicator reading, chart drawing, alerts, replay practice, screenshots, and JSONL monitoring. A valid TradingView subscription is required, and the desktop app must be launched with its debugging port enabled. The project is an interface for personal, educational, and research workflows rather than an autonomous trading bot, and users remain responsible for complying with TradingView's terms.

CSV Data Summarizer is a Claude Skill that inspects an uploaded CSV and produces descriptive statistics, correlations, distributions, trends, and missing-value checks without first requiring an analysis prompt. It selects charts from the available date, numeric, and categorical columns, including time-series plots, heatmaps, and histograms. Claude users install the release ZIP as a Skill, while running the included analyzer directly requires Python and its listed dependencies.

Create paper figures through two distinct workflows: image generation for architectures, schematics, and graphical abstracts, and local plotting for benchmarks, ablations, heatmaps, or any panel where values must remain exact. The skill includes bilingual figure briefs, scripts, and editable handoff formats. Conceptual image generation requires a supported provider such as OpenAI or Gemini-compatible services.