Firecrawl Build Onboarding
firecrawl/firecrawl
Gets Firecrawl working in a project: signs you in through the browser, saves FIRECRAWL_API_KEY to .env and picks the first SDK or REST path.
Scraper de datos de Nasdaq.com via API REST interna: cotizaciones, short interest, financials, institutional holdings, opciones, noticias.
$ npx skills add gauss314/skills --skill nasdaq-data -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gauss314/skills nasdaq-data --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/nasdaq-data .claude/skills/nasdaq-data && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "nasdaq-data" agent skill from https://github.com/gauss314/skills/tree/main/skills/nasdaq-data into .claude/skills/nasdaq-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nasdaq-data", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/gauss314/skills/tree/main/skills/nasdaq-dataType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add gauss314/skills --skill nasdaq-data -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gauss314/skills nasdaq-data --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/nasdaq-data .agents/skills/nasdaq-data && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nasdaq-data" agent skill from https://github.com/gauss314/skills/tree/main/skills/nasdaq-data into .agents/skills/nasdaq-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nasdaq-data", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gauss314/skills --skill nasdaq-data -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gauss314/skills nasdaq-data --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/nasdaq-data .cursor/skills/nasdaq-data && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "nasdaq-data" agent skill from https://github.com/gauss314/skills/tree/main/skills/nasdaq-data into .cursor/skills/nasdaq-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nasdaq-data", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/gauss314/skills.git --path skills/nasdaq-data--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add gauss314/skills --skill nasdaq-data -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gauss314/skills nasdaq-data --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/nasdaq-data .gemini/skills/nasdaq-data && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "nasdaq-data" agent skill from https://github.com/gauss314/skills/tree/main/skills/nasdaq-data into .gemini/skills/nasdaq-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nasdaq-data", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install gauss314/skills nasdaq-dataInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add gauss314/skills --skill nasdaq-data -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/nasdaq-data .github/skills/nasdaq-data && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "nasdaq-data" agent skill from https://github.com/gauss314/skills/tree/main/skills/nasdaq-data into .github/skills/nasdaq-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nasdaq-data", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gauss314/skills --skill nasdaq-data -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gauss314/skills nasdaq-data --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/nasdaq-data .opencode/skills/nasdaq-data && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "nasdaq-data" agent skill from https://github.com/gauss314/skills/tree/main/skills/nasdaq-data into .opencode/skills/nasdaq-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nasdaq-data", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
nasdaq-dataScraper de datos de Nasdaq.com via API REST interna: cotizaciones, short interest, financials, institutional holdings, opciones, noticias.
Nasdaq Data is an agent skill from gauss314/skills. Scraper de datos de Nasdaq.com via API REST interna: cotizaciones, short interest, financials, institutional holdings, opciones, noticias. Sin API key.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/REFERENCE.md` and `scripts/fetch_nasdaq.py`).
It sits in Backend & APIs, covering Web scraping. The repository describes itself as: Financial market data consumption skills for claude code and AI agents. The licence is MIT.
Read from SKILL.md and the folder at commit 5156f81. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
nasdaq.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Nasdaq Data loads about 1.9k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 41 tokens; SKILL.md has 393 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from gauss314/skills at commit 5156f81, republished under its MIT licence (© gauss314). 393 words, ~1,902 tokens.
.claude/skills/nasdaq-data/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Skill para extraer datos de Nasdaq.com usando sus APIs REST internas — sin API key, sin autenticacion, sin rate limiting agresivo.
El script usa requests (ya disponible en el entorno).
| Script | Descripcion |
|---|---|
| fetch_nasdaq.py | Script principal: todos los endpoints disponibles |
# Informacion de la empresa + precio
python scripts/fetch_nasdaq.py info NVDA
python scripts/fetch_nasdaq.py info GGAL
# Short interest historico
python scripts/fetch_nasdaq.py short-interest GGAL
# Chart OHLCV (ultimo año por defecto)
python scripts/fetch_nasdaq.py chart NVDA
python scripts/fetch_nasdaq.py chart NVDA --from 2025-01-01 --to 2026-06-04
# Estados financieros (Income Statement, Balance Sheet, Cash Flow, Ratios)
python scripts/fetch_nasdaq.py financials NVDA
# Institutional holdings (13F)
python scripts/fetch_nasdaq.py institutional-holdings NVDA
# ETFs donde el stock es Top 10 Holding
python scripts/fetch_nasdaq.py holdings NVDA
python scripts/fetch_nasdaq.py holdings GGAL
# Top 10 Holdings de un ETF
python scripts/fetch_nasdaq.py etf-holdings SPY
python scripts/fetch_nasdaq.py etf-holdings QQQ
# Perfil de la empresa
python scripts/fetch_nasdaq.py company-profile AAPL
# Dividendos
python scripts/fetch_nasdaq.py dividends NVDA
python scripts/fetch_nasdaq.py eps NVDA # EPS histórico + upcoming
# Insider trading
python scripts/fetch_nasdaq.py insider-trades NVDA # Summary 3/12m + transacciones
python scripts/fetch_nasdaq.py insider-trades NVDA --type buy
python scripts/fetch_nasdaq.py insider-trades NVDA --type sell
python scripts/fetch_nasdaq.py insider-trades NVDA --limit 20
# Opciones
python scripts/fetch_nasdaq.py option-chain NVDA
# Ultimas noticias
python scripts/fetch_nasdaq.py news NVDA --limit 5
# Screener de acciones
python scripts/fetch_nasdaq.py screener --exchange nasdaq --limit 10
# Screener de ETFs (4551 ETFs listados)
python scripts/fetch_nasdaq.py screener-etf --limit 5
# Calendarios globales
python scripts/fetch_nasdaq.py ipo-calendar # IPO upcoming (mes actual)
python scripts/fetch_nasdaq.py ipo-calendar --type spo # SPO: secondary offerings
python scripts/fetch_nasdaq.py ipo-calendar --date 2026-05 # IPOs de Mayo 2026
python scripts/fetch_nasdaq.py ipo-calendar --type spo --date 2026-06 # SPOs de Junio 2026
python scripts/fetch_nasdaq.py earnings-calendar # Earnings hoy
python scripts/fetch_nasdaq.py earnings-calendar --date 2026-06-05 # Earnings de una fecha especifica
python scripts/fetch_nasdaq.py economic-calendar # Economic calendar (hoy)
python scripts/fetch_nasdaq.py economic-calendar --date 2026-06-04 # Economic calendar de una fecha
python scripts/fetch_nasdaq.py dividend-calendar # Dividendos hoy
python scripts/fetch_nasdaq.py dividend-calendar --date 2026-06-04 # Dividendos de una fecha
python scripts/fetch_nasdaq.py splits-calendar # Stock splits
# TODO: todos los endpoints en uno
python scripts/fetch_nasdaq.py all GGAL
python scripts/fetch_nasdaq.py all NVDA -o nvda_all.json
# Modo silencioso (solo JSON)
python scripts/fetch_nasdaq.py info AAPL -q
python scripts/fetch_nasdaq.py all MSFT -o msft.json -q| Modo | Data | Metodo | Endpoint Interno |
|---|---|---|---|
info | Cotizacion, precio, key stats | API REST | /api/quote/{ticker}/info |
short-interest | Short interest historico | API REST | /api/quote/{ticker}/short-interest |
chart | OHLCV historico | API REST | /api/quote/{ticker}/chart |
financials | Income Statement, BS, CF, Ratios | API REST | /api/company/{ticker}/financials |
institutional-holdings | Tenencias institucionales (13F) | API REST | /api/company/{ticker}/institutional-holdings |
holdings | ETFs donde el stock es Top 10 Holding | API REST | /api/company/{ticker}/holdings |
etf-holdings | Top 10 Holdings de un ETF | API REST | /api/company/{ticker}/holdings |
company-profile | Descripcion, sector, direccion | API REST | /api/company/{ticker}/company-profile |
dividends | Dividendos | API REST | /api/quote/{ticker}/dividends |
eps | EPS historico + upcoming por ticker | API REST | /api/quote/{ticker}/eps |
insider-trades | Insider trading: summary 3/12m + transacciones | API REST | /api/company/{ticker}/insider-trades |
option-chain | Cadena de opciones | API REST | /api/quote/{ticker}/option-chain |
news | Ultimas noticias | API REST | /api/news/topic/articlebysymbol |
screener | Screener de acciones | API REST | /api/screener/stocks |
screener-etf | Screener de ETFs | API REST | /api/screener/etf |
ipo-calendar | IPO + SPO calendar | API REST | /api/ipo/calendar |
earnings-calendar | Earnings calendar con EPS | API REST | /api/calendar/earnings |
economic-calendar | Economic events (actual, consensus, previous) | API REST | /api/calendar/economicevents |
dividend-calendar | Dividendos (ex-date, pay-date, rate) | API REST | /api/calendar/dividends |
splits-calendar | Stock splits | API REST | /api/calendar/splits |
all | Todos los anteriores combinados | - | - |
| Flag | Descripcion |
|---|---|
--from YYYY-MM-DD | Fecha inicio para chart |
--to YYYY-MM-DD | Fecha fin para chart |
--limit N | Limite de resultados (news, screener) |
--offset N | Offset para paginacion (screener) |
--exchange X | Exchange para screener (default: nasdaq) |
--type ipo|spo|all|buy|sell | Tipo: ipo/spo (ipo-calendar) o all/buy/sell (insider-trades) |
--date YYYY-MM|DD | Fecha para calendarios: YYYY-MM (ipo) o YYYY-MM-DD (earnings/dividend) |
-o archivo.json | Guardar output a archivo |
-q / --quiet | Modo silencioso (solo JSON) |
| Delay | Resultado |
|---|---|
| <0.2s | Riesgo de 429/baneo |
| 0.3s | ✅ Seguro (default en --all) |
| 1s+ | ✅ Ideal para multiples requests |
Los siguientes datos no tienen endpoint JSON interno y requeririan scraping HTML:
| Pagina | Estado | Alternativa |
|---|---|---|
| Holiday Schedule | ❌ No hay API interna detectada | Solo HTML |
| ETF Detail (AUM, fees, desc) | ❌ No hay API interna | Usar companiesmarketcap --etf TICKER |
skills/nasdaq-data/
├── SKILL.md # Este archivo (guia rapida)
├── references/
│ └── REFERENCE.md # Documentacion completa de todos los endpoints
└── scripts/
└── fetch_nasdaq.py # Script principalDocumentacion detallada: Consultar references/REFERENCE.md para la documentacion exhaustiva de cada endpoint, estructuras JSON, ejemplos y consideraciones tecnicas.
© gauss314, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (scripts, references) in skills/nasdaq-data of gauss314/skills.
Open the folder on GitHubat commit 5156f81
Nasdaq Data next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Nasdaq Data this skillgauss314/skills | 246 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Firecrawl Build Onboardingfirecrawl/firecrawl | 190k | 1 repos | ~1.4k | Automated safety check: Notes | ISC | |
| Firecrawl Search Integrationfirecrawl/firecrawl | 190k | 1 repos | ~1.1k | Automated safety check: Pass | ISC | |
| Scrapecreators APIScrapeCreators/social-media-research-skills | 3.3k | 1 repos | ~4k | Automated safety check: Notes | MIT | |
| X Twitter ScraperXquik-dev/x-twitter-scraper | 209 | 1 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Xcrawlxcrawl-api/xcrawl-skills | 449 | — | ~2.4k | Automated safety check: Pass | None |
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firecrawl/firecrawl
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Xquik-dev/x-twitter-scraper
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xcrawl-api/xcrawl-skills
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gauss314/skills
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gauss314/skills
Datos de Google Finance via batchexecute (API RPC interna sin auth ni API key).
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gauss314/skills
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Scraper de datos de Nasdaq.com via API REST interna: cotizaciones, short interest, financials, institutional holdings, opciones, noticias. Nasdaq Data is an agent skill from gauss314/skills.com via API REST interna: cotizaciones, short interest, financials, institutional holdings, opciones, noticias.
Nasdaq Data fits situations like: tasks that involve Web scraping.
Run `npx skills add gauss314/skills --skill nasdaq-data -a claude-code`. Or copy the skill folder (skills/nasdaq-data in gauss314/skills) into .claude/skills/nasdaq-data in your project. Claude Code loads it when a task matches its description.
Run `npx skills add gauss314/skills --skill nasdaq-data -a codex`. Or copy the skill folder (skills/nasdaq-data in gauss314/skills) into .agents/skills/nasdaq-data in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gauss314/skills --skill nasdaq-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nasdaq-data, .gemini/skills/nasdaq-data, .github/skills/nasdaq-data and .opencode/skills/nasdaq-data in your project.
Going by SKILL.md and its folder, Nasdaq Data needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
SKILL.md names 1 domain. As links in the text: nasdaq.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Nasdaq Data is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.9k tokens (SKILL.md is roughly 7.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 11k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Nasdaq Data: Firecrawl Build Onboarding (firecrawl/firecrawl, 190k stars), Firecrawl Search Integration (firecrawl/firecrawl, 190k stars), Scrapecreators API (ScrapeCreators/social-media-research-skills, 3.3k stars) and X Twitter Scraper (Xquik-dev/x-twitter-scraper, 209 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
gauss314 (a GitHub user) maintains it in gauss314/skills, which has 246 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on June 14, 2026.
Source: gauss314/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.