Agent skill

Bcra Macro

API de Estadísticas Monetarias v4.0 del BCRA con 638 series macroeconómicas (reservas, tipo de cambio, tasas, M1/M2/M3, inflación, CER, UVA).

MITAuto-check passedBusiness, Finance & HR

Install Bcra Macro

skills CLI

$ npx skills add gauss314/skills --skill bcra-macro -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install gauss314/skills bcra-macro --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/bcra-macro .claude/skills/bcra-macro && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "bcra-macro" agent skill from https://github.com/gauss314/skills/tree/main/skills/bcra-macro into .claude/skills/bcra-macro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bcra-macro", 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

$skill-installer install https://github.com/gauss314/skills/tree/main/skills/bcra-macro

Type 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.

skills CLI

$ npx skills add gauss314/skills --skill bcra-macro -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install gauss314/skills bcra-macro --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/bcra-macro .agents/skills/bcra-macro && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "bcra-macro" agent skill from https://github.com/gauss314/skills/tree/main/skills/bcra-macro into .agents/skills/bcra-macro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bcra-macro", 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.

skills CLI

$ npx skills add gauss314/skills --skill bcra-macro -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install gauss314/skills bcra-macro --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/bcra-macro .cursor/skills/bcra-macro && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "bcra-macro" agent skill from https://github.com/gauss314/skills/tree/main/skills/bcra-macro into .cursor/skills/bcra-macro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bcra-macro", 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

$ gemini skills install https://github.com/gauss314/skills.git --path skills/bcra-macro

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add gauss314/skills --skill bcra-macro -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install gauss314/skills bcra-macro --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/bcra-macro .gemini/skills/bcra-macro && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "bcra-macro" agent skill from https://github.com/gauss314/skills/tree/main/skills/bcra-macro into .gemini/skills/bcra-macro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bcra-macro", 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.

GitHub CLI

$ gh skill install gauss314/skills bcra-macro

Installs 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).

skills CLI

$ npx skills add gauss314/skills --skill bcra-macro -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/bcra-macro .github/skills/bcra-macro && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "bcra-macro" agent skill from https://github.com/gauss314/skills/tree/main/skills/bcra-macro into .github/skills/bcra-macro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bcra-macro", 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.

skills CLI

$ npx skills add gauss314/skills --skill bcra-macro -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install gauss314/skills bcra-macro --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/bcra-macro .opencode/skills/bcra-macro && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "bcra-macro" agent skill from https://github.com/gauss314/skills/tree/main/skills/bcra-macro into .opencode/skills/bcra-macro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bcra-macro", 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.

Facts

Skill name: bcra-macro
GitHub stars: 247
Token cost: ~2.6k tokens
SKILL.md length: 803 words
Files: 2 (incl. references)
Skills in repo: 32
Repo updated: Jun 14, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

API de Estadísticas Monetarias v4.0 del BCRA con 638 series macroeconómicas (reservas, tipo de cambio, tasas, M1/M2/M3, inflación, CER, UVA).

Works in 4 steps: Catálogo de variables → Serie histórica de una variable → Metodologías → …
Business, Finance & HR work in your project
SKILL.md covers Endpoints, 1. Catálogo de variables, 2. Serie histórica de una… and 3. Metodologías, plus 7 more sections
Reaches api.bcra.gob.ar

What it does

Bcra Macro is an agent skill from gauss314/skills. API de Estadísticas Monetarias v4.0 del BCRA con 638 series macroeconómicas (reservas, tipo de cambio, tasas, M1/M2/M3, inflación, CER, UVA).

Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/VARIABLES.md`).

It sits in Business, Finance & HR. The repository describes itself as: Financial market data consumption skills for claude code and AI agents. The licence is MIT.

When your agent uses it

Business, Finance & HR work in your project

Example prompts

“/bcra-macro”

Requirements

Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

Catálogo de variables
Serie histórica de una variable
Metodologías
Paginación: cómo superar el límite de 3000 registros

What it can do on your machine

Read from SKILL.md and the folder at commit 5156f81. It shows what the files ask for, not the result of running them.

Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- api.bcra.gob.ar
Also links to:
- bcra.gob.ar
- principales-variables.bcra.apidocs.ar
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Bcra Macro loads about 2.6k tokens when it runs, and up to ~20k if it reads all its reference files. Until then it costs about 38 tokens; SKILL.md has 803 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~38
When it runs · the whole SKILL.md, loaded when a task matches: ~2.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~20k

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.

Safety

Auto-check passed

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from gauss314/skills at commit 5156f81, republished under its MIT licence (© gauss314). 803 words, ~2,572 tokens.

Download SKILL.mdSave it as .claude/skills/bcra-macro/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: bcra-macro
description: API de Estadísticas Monetarias v4.0 del BCRA con 638 series macroeconómicas (reservas, tipo de cambio, tasas, M1/M2/M3, inflación, CER, UVA).
license: MIT
metadata.category: finanzas, api, bcra, macroeconomia
metadata.language: es
metadata.source: https://www.bcra.gob.ar/documentacion-apis/?fileName=estadisticas-monetarias-v4

BCRA Macro — API de Estadísticas Monetarias v4.0

API oficial del BCRA para consultar variables macroeconómicas nacionales (no provinciales).
Base URL: https://api.bcra.gob.ar
Catálogo total: 1220 series → 638 series nacionales en ./references/VARIABLES.md.

Endpoints

#	Endpoint	Uso
1	`GET /estadisticas/v4.0/Monetarias`	Catálogo de variables (paginado)
2	`GET /estadisticas/v4.0/Monetarias/{IdVariable}`	Serie histórica de una variable (paginado)
3	`GET /estadisticas/v4.0/Metodologia`	Índice de metodologías (paginado)
4	`GET /estadisticas/v4.0/Metodologia/{IdVariable}`	Ficha metodológica de una variable

Autenticación: no requiere. CORS: abierto. Encoding: ISO-8859-1 en algunos textos.

1. Catálogo de variables

GET /estadisticas/v4.0/Monetarias

Devuelve el listado completo con metadatos (idVariable, descripcion, categoria, tipoSerie, periodicidad, unidadExpresion, moneda, primerFechaInformada, ultFechaInformado, ultValorInformado).

Filtros disponibles (query params)

Parámetro	Tipo	Descripción
`IdVariable`	int	Filtra por ID exacto
`Categoria`	string	Búsqueda parcial sin acentos (`"depositos"`, `"prestamos"`)
`Periodicidad`	string	`D` diaria, `M` mensual, `T` trimestral
`Moneda`	string	`PES`, `DOL`, `ML`, `ME`, `MEyML`
`TipoSerie`	string	`Stock`, `Flujo`, `Tasa`, etc.
`UnidadExpresion`	string	Texto libre
`Limit`	int	Default 1000, máx 3000
`Offset`	int	Paginación (sumar al salto)

Ejemplo mínimo

python

import requests, pandas as pd
r = requests.get("https://api.bcra.gob.ar/estadisticas/v4.0/Monetarias", params={"Limit": 3000})
df = pd.DataFrame(r.json()["results"])

2. Serie histórica de una variable

GET /estadisticas/v4.0/Monetarias/{IdVariable}

Devuelve {idVariable, detalle: [{fecha, valor}]}.

Parámetro	Tipo	Requerido	Descripción
`IdVariable`	int (path)	Sí	ID de la variable
`Desde`	string	No	`YYYY-MM-DD`
`Hasta`	string	No	`YYYY-MM-DD`
`Limit`	int	No	Default 1000, máx 3000
`Offset`	int	No	Paginación

python

r = requests.get("https://api.bcra.gob.ar/estadisticas/v4.0/Monetarias/1",
                 params={"Desde": "2020-01-01", "Hasta": "2025-12-31"})
df = pd.DataFrame(r.json()["results"][0]["detalle"])
df["fecha"] = pd.to_datetime(df["fecha"])
df = df.set_index("fecha").sort_index()

3. Metodologías

GET /estadisticas/v4.0/Metodologia           # índice paginado
GET /estadisticas/v4.0/Metodologia/{idVar}   # ficha completa

python

r = requests.get("https://api.bcra.gob.ar/estadisticas/v4.0/Metodologia/1")
print(r.json()["results"][0]["detalle"])

4. Paginación: cómo superar el límite de 3000 registros

El API devuelve máximo 3000 filas por llamada y la serie diaria más larga (Reservas internacionales, ID 1) tiene ~9000 observaciones desde 1996. Hay dos estrategias.

Estrategia A — Paginación con `Offset` (la más simple)

Iterar sumando Offset += Limit hasta que la respuesta venga vacía.

python

import requests, pandas as pd

def get_serie(id_variable, limit=3000):
    url = f"https://api.bcra.gob.ar/estadisticas/v4.0/Monetarias/{id_variable}"
    offset, partes = 0, []
    while True:
        r = requests.get(url, params={"Limit": limit, "Offset": offset}).json()
        det = r["results"][0]["detalle"]
        if not det:
            break
        partes.append(pd.DataFrame(det))
        offset += limit
    df = pd.concat(partes).drop_duplicates("fecha").sort_values("fecha")
    df["fecha"] = pd.to_datetime(df["fecha"])
    return df.set_index("fecha")

reservas = get_serie(1)  # ~9000 observaciones desde 1996

Estrategia B — Chunking por rango de fechas (más rápido en serie larga)

Partir el rango total en ventanas (ej. anual) y pedir cada una con Desde/Hasta. Es preferible cuando la serie tiene >50.000 obs o se quieren datos muy antiguos en simultáneo.

python

import requests, pandas as pd
from datetime import date

def get_serie_por_chunks(id_variable, desde, hasta, ventana_dias=365):
    url = f"https://api.bcra.gob.ar/estadisticas/v4.0/Monetarias/{id_variable}"
    partes, d = [], pd.to_datetime(desde)
    fin = pd.to_datetime(hasta)
    while d <= fin:
        h = min(d + pd.Timedelta(days=ventana_dias - 1), fin)
        r = requests.get(url, params={"Desde": d.strftime("%Y-%m-%d"),
                                       "Hasta": h.strftime("%Y-%m-%d"),
                                       "Limit": 3000}).json()
        partes.append(pd.DataFrame(r["results"][0]["detalle"]))
        d = h + pd.Timedelta(days=1)
    df = pd.concat(partes).drop_duplicates("fecha").sort_values("fecha")
    df["fecha"] = pd.to_datetime(df["fecha"])
    return df.set_index("fecha")

base = get_serie_por_chunks(15, "1996-01-01", date.today().isoformat())

Estrategia C — Catálogo paginado (para re-listar todas las variables)

python

def catalogo_completo(limit=3000):
    url = "https://api.bcra.gob.ar/estadisticas/v4.0/Monetarias"
    offset, todo = 0, []
    while True:
        r = requests.get(url, params={"Limit": limit, "Offset": offset}).json()
        batch = r["results"]
        todo += batch
        if len(batch) < limit:
            break
        offset += limit
    return pd.DataFrame(todo)

Reglas de oro

La respuesta no incluye total → siempre hay que chequear con len(batch) < limit o detalle == [].
Hacer una sola llamada grande (Limit=3000) es más eficiente que muchas chicas.
La API no impone rate-limit público pero ser cortés: agregar time.sleep(0.2) entre llamadas si se itera en masa.

Variables nacionales (IDs más usados)

Listado completo en VARIABLES.md (638 series nacionales). Las 30 más consultadas:

ID	Descripción	Per.
1	Reservas internacionales (mill. USD)	D
4	Tipo de cambio minorista ($/USD)	D
5	Tipo de cambio mayorista de referencia ($/USD)	D
7	Tasa BADLAR bancos privados (% TNA)	D
8	Tasa TM20 bancos privados (% TNA)	D
11	Tasa BAIBAR (% TNA)	D
12	Tasa depósitos 30 días (% TNA)	D
13	Tasa adelantos cta. cte. (% TNA)	D
14	Tasa préstamos personales (% TNA)	D
15	Base monetaria (mill. $)	D
16	Circulación monetaria (mill. $)	D
17	Billetes y monedas en poder del público (mill. $)	D
18	Depósitos en entidades financieras (mill. $)	D
19	Préstamos al sector privado (mill. $)	D
26	Tasa de política monetaria (% TNA)	D
27	Variación mensual IPC (%)	M
28	Variación interanual IPC (%)	M
29	REM - mediana inflación prox. 12 meses (%)	M
30	CER (índice, base 2.2.02=1)	D
31	UVA ($)	D
32	UVI ($)	D
40	ICL - Índice Contratos Locación ($)	D
1187	Banda cambiaria - límite inferior ($/USD)	D
1188	Banda cambiaria - límite superior ($/USD)	D
1189	Tasa plazo fijo pesos (% TNA)	D
1197	Tasa Intereses Moratorios TIM (% TNA)	D
1232	M1 (mill. $)	D
1233	M2 (mill. $)	D
1234	M3 (mill. $)	D

Tip: el ID cambia con la refactorización del API. Para confirmar el ID actual de una variable usar el endpoint de catálogo.

Show full SKILL.md (235 more words)Show less

Categorías presentes en el catálogo

Categoría	Cantidad nacional	Descripción
Principales Variables	35	Indicadores macro headline (tasas, TC, reservas, base, CER, UVA, IPC)
Informe Monetario Diario	33	Series diarias del IMD (líneas del exterior, M1/M2/M3, créditos BCRA)
Series.xlsm	154	Factores de variación de la base monetaria y reservas
Tasas de interés de depósitos	10	Tasas de depósitos desagregadas por moneda y plazo
Préstamos por tipo de titular y destino	74	Préstamos por destino (hipotecarios, prendarios, personales)
Préstamos por tipo de titular	120	Préstamos al sector público/privado nacional, por moneda
Depósitos por tipo de titular	212	Depósitos del sector público/privado nacional, por moneda y plazo

Excluidas (582 series provinciales/municipales): los IDs 322+ desagregan por provincia (Buenos Aires, Córdoba, Santa Fe, etc.) y los items que mencionan "gobiernos provinciales" o "municipales" sin agregado nacional.

Códigos de moneda

Código	Significado
`ML`	Moneda local (pesos argentinos)
`ME`	Moneda extranjera (dólares)
`MEyML`	Agregado moneda local + extranjera
`USD`	Dólares (sin conversión)

Tipos de serie

Saldos a fin de mes · Saldos · Tasa de interés · Flujo diario · Tipo de cambio · Variación · Cociente · Índice · Unidad de cuenta · Margen · Monto

Consideraciones técnicas

Sin autenticación — no requiere key ni token.
Tope de paginado: 3000 registros por llamada.
Encoding: las respuestas pueden traer caracteres extendidos (ISO-8859-1) — usar response.encoding o pd.read_json(..., encoding="utf-8").
Formato fechas: ISO 8601 (YYYY-MM-DD).
SLA: best-effort, sin garantías formales.

Enlaces útiles

Files

SKILL.md and 1 other file (references) in skills/bcra-macro of gauss314/skills.

SKILL.md
references/VARIABLES.md

Open the folder on GitHubat commit 5156f81

Compare with similar skills

Bcra Macro 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.

Bcra Macro compared with similar skills
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Questions about Bcra Macro

What does Bcra Macro do?

API de Estadísticas Monetarias v4.0 del BCRA con 638 series macroeconómicas (reservas, tipo de cambio, tasas, M1/M2/M3, inflación, CER, UVA). Bcra Macro is an agent skill from gauss314/skills.0 del BCRA con 638 series macroeconómicas (reservas, tipo de cambio, tasas, M1/M2/M3, inflación, CER, UVA).

When should I use Bcra Macro?

Bcra Macro fits situations like: business, Finance & HR work in your project.

How do I install Bcra Macro in Claude Code?

Run `npx skills add gauss314/skills --skill bcra-macro -a claude-code`. Or copy the skill folder (skills/bcra-macro in gauss314/skills) into .claude/skills/bcra-macro in your project. Claude Code loads it when a task matches its description.

How do I install Bcra Macro in Codex?

Run `npx skills add gauss314/skills --skill bcra-macro -a codex`. Or copy the skill folder (skills/bcra-macro in gauss314/skills) into .agents/skills/bcra-macro in your project. Codex loads it when a task matches its description.

Can I use Bcra Macro in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gauss314/skills --skill bcra-macro -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bcra-macro, .gemini/skills/bcra-macro, .github/skills/bcra-macro and .opencode/skills/bcra-macro in your project.

What does Bcra Macro need to run?

SKILL.md names no scripts, command-line tools or credentials: Bcra Macro is instructions for the agent only. Our summary lists: Python 3.

Does Bcra Macro access the network?

SKILL.md names 3 domains. In commands or code: api.bcra.gob.ar; the agent is likely to contact it when it follows the instructions. As links in the text: bcra.gob.ar and principales-variables.bcra.apidocs.ar. This is read from the text; nothing was executed.

Is Bcra Macro safe to install?

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. Review the folder before installing.

What licence does Bcra Macro use?

Bcra Macro is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Bcra Macro use?

About 2.6k tokens (SKILL.md is roughly 10k 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 17k tokens, read only when the agent opens those files.

What are the alternatives to Bcra Macro?

Skills that share tags, products or a category with Bcra Macro: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Theme Detector (tradermonty/claude-trading-skills, 3k stars), Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars) and Stock API (zhangxiangliang/stock-api, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bcra Macro?

gauss314 (a GitHub user) maintains it in gauss314/skills, which has 247 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.

Install Bcra Macro

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

BCRA Macro — API de Estadísticas Monetarias v4.0

Endpoints

1. Catálogo de variables

Filtros disponibles (query params)

Ejemplo mínimo

2. Serie histórica de una variable

3. Metodologías

4. Paginación: cómo superar el límite de 3000 registros

Estrategia A — Paginación con Offset (la más simple)

Estrategia B — Chunking por rango de fechas (más rápido en serie larga)

Estrategia C — Catálogo paginado (para re-listar todas las variables)

Reglas de oro

Variables nacionales (IDs más usados)

Categorías presentes en el catálogo

Códigos de moneda

Tipos de serie

Consideraciones técnicas

Enlaces útiles

Files

Compare with similar skills

Similar skills

More from gauss314/skills

Related

Questions about Bcra Macro

Estrategia A — Paginación con `Offset` (la más simple)