Agent skill · Backend & API

historyofmarket

History of Market (historyofmarket.com) — API publica con 88 datasets historicos de indices US desde 1871. S&P 500 (price, CAPE, EPS, drawdowns, changes, constituents), Nasdaq Composite/Nasdaq 100 (price, volatility, VXN, changes), Dow Jones, SOX/SMH, sector ETFs (XLK, XLF), Magnificent 7 y macro. Sin API key, CORS libre, CC BY 4.0.

Juanpy170★ · +3/wk · 1 repos on radarProfile →
claude-codeships scriptsMIT
Install
npx skills add gauss314/skills --skill historyofmarket --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 12
SKILL.md size: 6 KB
Bundled scripts: yes
Path: skills/historyofmarket/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 172 · +2 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# History of Market Skill para acceder a la API publica **historyofmarket.com** — 88 datasets pre-generados (JSON estatico) sobre la historia de los mercados financieros de EE.UU. desde 1871. Sin API key, sin autenticacion, CORS libre, licencia CC BY 4.0. Cada dataset es un archivo JSON pre-generado (sin parametros). Cache: `max-age=300` con `stale-while-revalidate=3600`. Soporta ETag. --- ## 🎯 Q

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About this skill
What does the historyofmarket skill do?

History of Market (historyofmarket.com) — API publica con 88 datasets historicos de indices US desde 1871. S&P 500 (price, CAPE, EPS, drawdowns, changes, constituents), Nasdaq Composite/Nasdaq 100 (price, volatility, VXN, changes), Dow Jones, SOX/SMH, sector ETFs (XLK, XLF), Magnificent 7 y macro. Sin API key, CORS libre, CC BY 4.0.

How do I install it?

Run `npx skills add gauss314/skills --skill historyofmarket --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From gauss314/skills, a repository with 172 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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