Markitdown
ImCa0/just-laws
Convert files and office documents to Markdown. An agent skill from ImCa0/just-laws.
Datos de fondos comunes de inversion argentinos via CAFCI (Camara Argentina de Fondos Comunes de Inversion).
$ npx skills add gauss314/skills --skill cafci -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gauss314/skills cafci --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/cafci .claude/skills/cafci && 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 "cafci" agent skill from https://github.com/gauss314/skills/tree/main/skills/cafci into .claude/skills/cafci/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cafci", 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/cafciType 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 cafci -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gauss314/skills cafci --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/cafci .agents/skills/cafci && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cafci" agent skill from https://github.com/gauss314/skills/tree/main/skills/cafci into .agents/skills/cafci/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cafci", 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 cafci -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gauss314/skills cafci --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/cafci .cursor/skills/cafci && 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 "cafci" agent skill from https://github.com/gauss314/skills/tree/main/skills/cafci into .cursor/skills/cafci/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cafci", 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/cafci--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 cafci -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gauss314/skills cafci --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/cafci .gemini/skills/cafci && 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 "cafci" agent skill from https://github.com/gauss314/skills/tree/main/skills/cafci into .gemini/skills/cafci/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cafci", 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 cafciInstalls 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 cafci -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/cafci .github/skills/cafci && 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 "cafci" agent skill from https://github.com/gauss314/skills/tree/main/skills/cafci into .github/skills/cafci/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cafci", 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 cafci -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 cafci --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/cafci .opencode/skills/cafci && 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 "cafci" agent skill from https://github.com/gauss314/skills/tree/main/skills/cafci into .opencode/skills/cafci/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cafci", 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.
cafciDatos de fondos comunes de inversion argentinos via CAFCI (Camara Argentina de Fondos Comunes de Inversion).
Cafci is an agent skill from gauss314/skills. Datos de fondos comunes de inversion argentinos via CAFCI (Camara Argentina de Fondos Comunes de Inversion). Combina catalogo JSON (1152 fondos, 4615 clases, fees, IDs, metadata), snapshot diario XLSX (VCP, patrimonio, market share, variaciones), ficha individual markdown (rendimientos TNA por periodo) y composicion de cartera (top activos). Sin API key.
Its SKILL.md is about 2.9k 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_cafci.py`).
It sits in Documents & Office, covering Excel spreadsheets. It works with Microsoft Excel. The repository describes itself as: Financial market data consumption skills for claude code and AI agents. The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
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:
pipjqFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.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.
Cafci loads about 2.9k tokens when it runs, and up to ~8.3k if it reads all its reference files. Until then it costs about 91 tokens; SKILL.md has 827 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). 827 words, ~2,930 tokens.
.claude/skills/cafci/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Skill para consultar informacion publica de fondos comunes de inversion en Argentina via las 4 fuentes oficiales de CAFCI (Camara Argentina de Fondos Comunes de Inversion).
Cubre 1152 fondos y 4615 clases activas al 2026-06: Money Market, Renta Fija, Renta Variable, Renta Mixta, PyMes, Retorno Total, Infraestructura, Fondos Cerrados, ASG, RG900.
La API REST api.pub.cafci.org.ar/tipo-renta, /fondo/{id},
/estadisticas/... fue discontinuada en 2026-04 (HTTP 403 "Route not
allowed"). El unico path que sigue activo en ese host es /pb_get.
Esta skill usa las 4 fuentes alternativas que la reemplazaron:
/consulta-de-fondos.json (catalogo completo)/pb_get (XLSX diario)defuddle.md/.../fondos/{F}?clase={C} (ficha markdown).../fondos/{F}?clase={C} (HTML para composicion de cartera)| Script | Descripcion |
|---|---|
| fetch_cafci.py | Script principal: todos los endpoints + funciones de consulta |
Requiere: pip install openpyxl (para parsear el XLSX diario).
# ── DATASETS ENTEROS (con cache local diario) ──────────────────────────
# Catalogo completo: 1152 fondos, 4615 clases con IDs, honorarios, metadata
py scripts/fetch_cafci.py catalogo
py scripts/fetch_cafci.py catalogo -o catalogo.json # guarda 2.7MB
py scripts/fetch_cafci.py catalogo --no-cache # fuerza refetch
# Snapshot diario: VCP, patrimonio, variaciones (dia/mes/YTD/12m)
py scripts/fetch_cafci.py diario
py scripts/fetch_cafci.py diario -o diario.json
py scripts/fetch_cafci.py diario --no-cache
# ── CONSULTAS SOBRE EL CACHE ───────────────────────────────────────────
# Buscar fondo por nombre (parcial, case-insensitive)
py scripts/fetch_cafci.py buscar "ahorro"
py scripts/fetch_cafci.py buscar "delta"
py scripts/fetch_cafci.py buscar "renta fija"
# Resolver IDs (mas compacto: solo fondo_id, clase_id, nombres)
py scripts/fetch_cafci.py resolve "ieb estrategico"
py scripts/fetch_cafci.py resolve "1810"
# Top N por patrimonio en una categoria del diario
py scripts/fetch_cafci.py top "Mercado de Dinero Peso Argentina"
py scripts/fetch_cafci.py top "Mercado de Dinero Peso Argentina" --limit 20
py scripts/fetch_cafci.py top "Renta Variable Peso Argentina"
py scripts/fetch_cafci.py top "Renta Fija Peso Argentina" --limit 5
# ── FICHAS INDIVIDUALES ────────────────────────────────────────────────
# Ficha markdown (rendimientos TNA: 7d/1m/90d/180d/YTD/12m + datos del fondo)
py scripts/fetch_cafci.py ficha 304 308 # 1810 Ahorro
py scripts/fetch_cafci.py ficha 1717 5772 # otro fondo
py scripts/fetch_cafci.py ficha 304 308 -o ficha.md # guarda markdown
# Composicion de cartera (top activos + porcentaje)
py scripts/fetch_cafci.py cartera 304 308
py scripts/fetch_cafci.py cartera 1717 5772
# Ficha COMPLETA todo-en-uno (combina catalogo + diario + ficha + cartera)
py scripts/fetch_cafci.py fondo 304 308
py scripts/fetch_cafci.py fondo 304 308 -o 1810_ahorro_completo.json
# ── COMBINADO ──────────────────────────────────────────────────────────
# Catalogo + diario juntos (sin fichas individuales)
py scripts/fetch_cafci.py all -o cafci_snapshot.json
# ── OUTPUT ─────────────────────────────────────────────────────────────
# Modo silencioso (solo JSON/markdown, sin logs)
py scripts/fetch_cafci.py top "Mercado de Dinero Peso Argentina" -q| Modo | Data | URL |
|---|---|---|
catalogo | Catalogo: 1152 fondos, 4615 clases, IDs, honorarios, metadata | GET /consulta-de-fondos.json |
diario | Snapshot diario: VCP, patrimonio, market share, variaciones | GET /pb_get (XLSX) |
ficha FONDO CLASE | Ficha markdown: rendimientos TNA por periodo | GET defuddle.md/.../fondos/{F}?clase={C} |
cartera FONDO CLASE | Composicion de cartera (top activos + %) | GET .../fondos/{F}?clase={C} (HTML) |
buscar QUERY | Buscar fondos por nombre parcial | (local, sobre catalogo) |
resolve QUERY | Resolver fondoId/claseId desde nombre | (local, sobre catalogo) |
top CATEGORIA | Top N por patrimonio en una categoria | (local, sobre diario) |
fondo FONDO CLASE | Ficha completa todo-en-uno (combina los 4 endpoints) | (local + 4 requests) |
all | Snapshot catalogo + diario | (local + 2 requests) |
Total: 4 endpoints HTTP + 5 funciones de consulta sobre cache.
Los datasets pesados (catalogo + diario) se cachean una vez por dia en el directorio temporal del sistema:
$TMP/cafci-catalog-YYYY-MM-DD.json (~2.7 MB)
$TMP/cafci-daily-YYYY-MM-DD.json (~1-2 MB)C:\Users\<user>\AppData\Local\Temp\/tmp/Si vas a hacer multiples consultas en el dia (typical workflow), reusan
el cache automaticamente. Forzar refetch con --no-cache.
| Tipo | Cantidad fondos |
|---|---|
| Renta Fija | 542 |
| Renta Mixta | 271 |
| Mercado de Dinero | 96 |
| Renta Variable | 76 |
| PyMes | 65 |
| Retorno Total | 42 |
| Infraestructura | 23 |
| Fondos Cerrados | 22 |
| ASG | 10 |
| RG900 | 5 |
top)Las categorias del diario combinan tipo_renta + moneda + region como
string. Ejemplos comunes:
| Categoria | Cobertura |
|---|---|
Renta Variable Peso Argentina | Acciones argentinas |
Mercado de Dinero Peso Argentina | Money Market $ |
Renta Fija Peso Argentina | Bonos $ |
Renta Fija Dolar Estadounidense Argentina | Bonos USD argentinos |
Renta Mixta Peso Argentina | Fondos mixtos $ |
Retorno Total Peso Argentina | Total return $ |
Para ver lista completa:
py scripts/fetch_cafci.py diario -q | jq '.categorias'
catalogoTop-level:
| Campo | Descripcion |
|---|---|
generated_at | Timestamp ISO del catalogo. |
total_fondos, total_clases | Contadores. |
filtros | Catalogos de enums: tipo_renta, region, moneda, benchmark, duration, horizonte, sociedad_gerente, tipo_dinero, tipo_renta_mixta. |
fondos[] | Array de fondos. |
Cada fondos[] tiene id, nombre, codigo_cnv, estado, objetivo, tipo_dinero,
valuacion, dias_liquidacion, inicio, sociedad_gerente, sociedad_depositaria,
moneda, tipo_renta, region, duration, benchmark, horizonte y clases[].
Cada clases[] tiene id, nombre, moneda, inversion_minima, honorarios
(ingreso, rescate, transferencia, administracion_gerente, administracion_depositaria,
gasto_ordinario_gestion), suscripcion, liquidez, rg384, log_abierto,
ticker_bloomberg, ticker_isin.
⚠️
honorarios.*son strings (no floats). Castear confloat()antes de comparar.
diario{
"fecha_reporte": "2026-06-04",
"categorias": ["Renta Variable Peso Argentina", ...],
"fondos": [
{
"nombre": "Allaria Equity Selection - Clase A",
"categoria": "Renta Variable Peso Argentina",
"moneda": "ARS",
"region": "Arg",
"horizonte": "Cor",
"fecha": "2026-06-04",
"vcp_actual": 1642.85,
"vcp_anterior": 1628.345,
"variacion_dia_pct": 0.891,
"vcp_reexp_pesos": 1642.85,
"variacion_mes_pct": -1.181,
"variacion_ytd_pct": 11.939,
"variacion_12m_pct": 61.542,
"cantidad_cuotapartes": 1276470413.29,
"patrimonio": 2097049572.01,
"market_share": 0.107,
"depositaria": "Banco Comafi S.A.",
"codigo_cnv": "1603"
}
]
}cartera{
"fondo_id": 304,
"clase_id": 308,
"fecha_cartera": "15/05/2026",
"composicion": [
{"nombre": "Cta Cte $ Rem Bco Credico", "porcentaje": 17.4},
{"nombre": "Pzo Fi $ Bco Nacion", "porcentaje": 14.8},
...
{"nombre": "Resto de Activos", "porcentaje": 29.2}
]
}CAFCI publica solo los top ~14 activos +
"Resto de Activos"agrupado. La fecha de cartera tiene delay de ~2-3 semanas vs el diario.
fondo (todo-en-uno){
"meta": { ...del catalogo... },
"diario": { ...del XLSX... },
"ficha_md": "...markdown defuddle...",
"cartera": { ...composicion... }
}A) Top N por patrimonio con fees:
top "<categoria>" --limit N → lista de fondosnombre, resolve para conseguir fondo_id, clase_idcatalogo por clases[].nombre exactoB) Ficha completa de un fondo:
resolve "<query>" → conseguir IDsfondo FONDO_ID CLASE_ID → todo-en-unoC) Cuando el usuario no especifica clase:
buscar o resolve y mostrar las clases disponibles| Flag | Descripcion |
|---|---|
--limit N | Cantidad de resultados (top). Default: 10 |
--no-cache | Forzar refetch de catalogo/diario (ignorar cache local) |
-o archivo | Guardar output a archivo JSON o markdown |
-q / --quiet | Modo silencioso (solo JSON/markdown, sin logs) |
No hay rate limiting documentado. Recomendado:
defuddle.md (proxy externo), esperar mas si hay timeouts.| Status | Causas tipicas |
|---|---|
| 200 | OK |
403 Route not allowed | Path discontinuado de la API REST anterior |
403 (en /pb_get) | Faltan headers de browser (Origin, Referer) — el script ya los envia |
| 404 | URL mal formada o IDs inexistentes |
Timeout en defuddle.md | Proxy externo lento — reintentar |
UTF-8 valido. Las consolas Windows muestran ? para acentos pero los
archivos UTF-8 se guardan correctamente (el script usa ensure_ascii=False).
skills/cafci/
├── SKILL.md # Este archivo (guia rapida)
├── references/
│ └── REFERENCE.md # Documentacion completa de los 4 endpoints + cache
└── scripts/
└── fetch_cafci.py # Script principalDocumentacion detallada: Consultar references/REFERENCE.md para schemas JSON completos, tablas de campos exhaustivas, codigos de tipo_renta/region/horizonte/moneda, cache local, manejo de errores y consideraciones tecnicas.
Inspirado en: ferminrp/agent-skills/cafci-fondos-comunes-argentina — esta implementacion porta el mismo diseño de 4 fuentes a la arquitectura SKILL.md / references/REFERENCE.md / scripts/fetch_*.py del repo.
© 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/cafci of gauss314/skills.
Open the folder on GitHubat commit 5156f81
Cafci 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 |
|---|---|---|---|---|---|---|
| Cafci this skillgauss314/skills | 248 | — | ~2.9k | Automated safety check: Pass | MIT | |
| MarkitdownImCa0/just-laws | 781 | 14 repos | ~3.2k | Automated safety check: Notes | MIT | |
| Data Table Managern8n-io/n8n | 207k | — | ~2.3k | Automated safety check: Pass | Custom licence | |
| Docx4jplutext/docx4j | 2.4k | — | ~2.5k | Automated safety check: Pass | None | |
| Instrument Data To Allotropeaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | 2 repos | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Cyber Pptcrazyykhllc-bit/CyberPPT | 1.8k | — | ~10k | Automated safety check: Pass | MIT |
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Works with
Categories
Datos de fondos comunes de inversion argentinos via CAFCI (Camara Argentina de Fondos Comunes de Inversion). Cafci is an agent skill from gauss314/skills. Datos de fondos comunes de inversion argentinos via CAFCI (Camara Argentina de Fondos Comunes de Inversion).
Cafci fits situations like: tasks that involve Excel spreadsheets.
Run `npx skills add gauss314/skills --skill cafci -a claude-code`. Or copy the skill folder (skills/cafci in gauss314/skills) into .claude/skills/cafci in your project. Claude Code loads it when a task matches its description.
Run `npx skills add gauss314/skills --skill cafci -a codex`. Or copy the skill folder (skills/cafci in gauss314/skills) into .agents/skills/cafci 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 cafci -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cafci, .gemini/skills/cafci, .github/skills/cafci and .opencode/skills/cafci in your project.
Going by SKILL.md and its folder, Cafci needs Python for the scripts in its folder and the command-line tools its instructions call (pip and jq). Our summary lists: Python 3.
SKILL.md names 1 domain. As links in the text: github.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.
Cafci is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.9k tokens (SKILL.md is roughly 12k 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 5.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Cafci: Markitdown (ImCa0/just-laws, 781 stars), Data Table Manager (n8n-io/n8n, 207k stars), Docx4j (plutext/docx4j, 2.4k stars) and Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 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 248 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.