Herramientas

Teaches agents the Hugging Face Hub CLI hf: search and download models, manage datasets, Spaces, Buckets and repos, and run Jobs and inference endpoints. The skill content is generated from your local CLI, so install hf first. Maintained by Hugging Face.

Hugging Face's official skills: manage Hub models and datasets with the hf CLI, fine-tune language and vision models, run model evaluations, and build Gradio apps deployed to Spaces. Needs an HF account; cloud training on HF Jobs requires a paid plan.

Lets agents work with the Hugging Face Hub through the hf CLI: search and download models and datasets, manage repos and Spaces, and run training and evaluation jobs on cloud GPUs, with more workflow skills installable as needed. Maintained by Hugging Face.

The official MCP debugging tool: connect to any MCP server through a web UI, CLI or terminal UI to list and call its tools, resources and prompts. CLI mode outputs JSON, suited to scripts and CI smoke tests.

Paid advertising skill pack covering 12 ad platforms including Google, Meta, TikTok, Amazon and LinkedIn, for account audits, campaign planning, creative, monitoring and reporting. Read-only by default; account changes need item-by-item approval. Full features need Python.

Reads the exact position of every character, line and table cell in digital PDFs: the CLI exports layout-preserving text or CSV/JSON details, and the Python API extracts tables and form fields, ideal for invoices, statements and reports. Runs locally with Python; scans need OCR first.

Open-source research agent: one command runs literature reviews, deep research, paper reviews, paper-code consistency checks and replication plans, searching arXiv, PubMed and more with sources recorded. Good for grad students writing reviews. Run feynman setup to sign in to a model provider.

NVIDIA's open-source LLM vulnerability scanner that probes for prompt injection, jailbreaks, data leakage, hallucination and harmful content, supporting OpenAI, Hugging Face, Bedrock and most REST-accessible models. Scanning cloud models needs their API keys.

Official skill for Anarlog (formerly Hyprnote), an open-source, local-first meeting notes app: lets agents query notes, summaries, transcripts, attendees and action items from local data, with no meeting bot needed. Requires the Anarlog desktop app and CLI; remote cloud access needs Pro.

Rendering engine that lays out HTML and CSS and exports PDF, supporting paged media and other print style standards, ideal for generating reports, invoices and receipts in bulk. Written in Python; depends on the system Pango library.

High-accuracy retrieval-augmented Q&A over paper PDFs, text and Office documents, filling in citation metadata, checking retractions and attaching traceable sources to answers. Provides the pqa CLI and a Python library. Needs an LLM API key by default; local models can be configured.

Say build a harness for this project and it designs a domain-specific agent team, generating subagent definitions, companion skills and orchestration, validates them and keeps evolving them from feedback. Supports workflow orchestration, persistent agent teams and subagent delegation.

Turns outlines or scripts into web slides that present in the browser (not .pptx files), with 36 themes and 15 full deck templates; press S for presenter mode with script and timer. Good for lessons, training and reports. Plain local files; no account or API key needed.

PDF command line written in pure Go with almost no external dependencies: dozens of subcommands to merge, split, crop, rotate, watermark, encrypt and decrypt, extract images and fonts, and work with forms.

Google Workspace CLI for scripts and agents covering Gmail, Calendar, Drive, Docs, Sheets, Contacts and Tasks, with JSON output, read-only mode and command allowlists; can also run as a read-only-by-default MCP server. Bring your own Google OAuth client.

Lightweight OCR built on PaddleOCR models converted to ONNX, recognizing Chinese and English by default on CPU alone. The rapidocr CLI reads text from screenshots, photos and scanned page images. Needs Python; downloads models on first run, then works offline. Convert PDFs to images first.

Turns Peng Sida's public research-writing notes into a skill: revises abstracts, introductions, methods and experiments of ML/CV/NLP papers from a reviewer's view, checks that each claim has experimental evidence, and runs a pre-submission self-check. Pure methodology, no API key.

Offline speech toolkit for Apple Silicon Macs: CLI text-to-speech (including Chinese and voice cloning) and speech-to-text, for voicing lessons and explainer videos or transcribing lectures and interviews, with data staying local. Needs an M-series Mac and Python 3.10+; MP3 export needs ffmpeg.

Cuts long videos like podcasts, webinars, livestreams and interviews into captioned vertical shorts, with optional dubbing and publishing to TikTok, YouTube and more. Hosted version needs an API key (free tier is watermarked and time-limited), or self-host with Docker and your own keys.

Removes backgrounds from images and videos with one AI command: batch whole folders, use a portrait model, refine edges or swap in a solid color, and output transparent MOV or composite video onto a new background. Runs locally; install PyTorch and ffmpeg first. Models download on first run.

Diffusion model inference in pure C/C++: one sd-cli command runs SD, FLUX, Qwen Image, Wan and more locally to create or edit images and short videos, with Metal acceleration on Mac. No cloud needed; bring your own model weights and use a release binary or build from source.

Higgsfield's official Codex plugin: uses its remote MCP to generate images and video from text or photos, like product-shot video ads or animated stills, with built-in flows for faceless narration, voiceover and burned-in captions. Needs a Higgsfield account; billed in credits.

Granola's official plugin in OpenAI's Codex marketplace: search past Granola meeting notes by topic, person, company or date, and cite the discussions and decisions when writing proposals, reports or analyses. Codex only; needs a Granola account already recording meetings.

Creates, edits and validates reproducible Python and SQL Jupyter notebooks: organizes cells as reports or tutorials, checks conclusions against actual output and reruns top to bottom before handoff. Maintained by OpenAI in the Data Analytics plugin of openai/plugins.