Herramienta de investigación para explorar visualmente los datos del Manual de Perspectivas Ocupacionales de la BLS con un mapa de árbol interactivo, un pipeline de puntuación impulsado por LLM y utilidades de scraping/análisis de datos.
Esta habilidad es una herramienta de investigación diseñada para desarrolladores y agentes de IA que necesitan analizar y visualizar datos del Manual de Perspectivas Ocupacionales de la Oficina de Estadísticas Laborales de EE. UU. (BLS). Proporciona un mapa de árbol interactivo para explorar tendencias ocupacionales, un pipeline de puntuación basado en modelos de lenguaje grandes (LLM) para evaluar trabajos según criterios personalizados, y utilidades de scraping y análisis de datos para extraer información de la BLS. Es útil para investigadores, analistas de mercado laboral y entusiastas de datos que buscan entender cambios en el empleo de manera dinámica. La herramienta soporta plataformas como Claude Code, Cursor o Codex, y su funcionamiento se basa en scripts de Python para la recolección de datos y una interfaz web interactiva para la visualización. El pipeline de puntuación utiliza LLMs para clasificar ocupaciones según factores como crecimiento salarial, demanda o automatización, permitiendo análisis personalizados.
npx skills add https://github.com/aradotso/trending-skills/tree/main/skills/karpathy-jobs-bls-visualizerInstalled? Explore more Investigación y análisis de datos skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Herramienta de investigación para explorar visualmente los datos del Manual de Perspectivas Ocupacionales de la BLS con un mapa de árbol interactivo, un pipeline de puntuación impulsado por LLM y utilidades de scraping/análisis de datos.
This repo contains 20 individual skills — each has its own dedicated page.
Self-evolving AI agent system with 26 tools, three-layer memory, MCP plugins, and 24/7 self-repair in pure Python.
A collection of specialized AI agent personalities for Claude Code, Cursor, Aider, Windsurf, and other AI coding tools — covering engineering, design, marketing, sales, and more.
Headless browser automation CLI for AI agents using native Rust binary with Chrome DevTools Protocol
AI coding agent skill for Antigravity Manager — a Tauri v2 + Rust desktop app and Docker service that manages multiple Google/Anthropic accounts and proxies them as standard OpenAI/Anthropic/Gemini API endpoints with intelligent account rotation.
Guide to deploying and managing OpenClaw-compatible AI agent systems across cloud, bare metal, and hybrid infrastructure.
Fully autonomous research pipeline that turns a topic idea into a complete academic paper with real citations, experiments, and conference-ready LaTeX.
Structured prompts, vault templates, and autonomous research workflows for AI-assisted genealogy using Claude Code.
Search and retrieve Norwegian company data from Brønnøysundregistrene (the Norwegian Business Registry). Access all ~1.2 million registered companies in Norway.
Give AI agents access to your live Chrome session via CDP — interact with open tabs, logged-in accounts, and current page state
A Claude Code plugin that displays a real-time HUD showing context usage, active tools, running agents, and todo progress in your terminal statusline.
Enable multiple Claude Code instances to discover each other and exchange messages in real-time via a local broker daemon and MCP server.
Command Line User Interface for Claude Code — a floating macOS desktop overlay with multi-tab sessions, permission approval UI, voice input, and skills marketplace.
AI-native terminal multiplexer with programmable socket API, full Playwright-equivalent browser automation, and agent team coordination — built for Claude Code and autonomous agent workflows
Build a persistent knowledge graph of your codebase so Claude reads only what matters — up to 49x fewer tokens on coding tasks.
Self-directed iterative research skill for Codex that continuously cycles through modify, verify, retain or discard, and repeat until a measurable goal is reached.
Personal AI assistant framework supporting multiple chat channels (DingTalk, Feishu, QQ, Discord, etc.) with extensible skills, local/cloud deployment, and cron scheduling.
AI-powered green screen keyer that unmixes foreground colors and generates clean linear alpha channels using neural networks
Personal intelligence agent that aggregates 27 OSINT data sources into a self-hosted Jarvis-style dashboard with Telegram/Discord bots, LLM analysis, and real-time alerts.
LLM-powered A/H/US stock intelligent analysis system with multi-source data, real-time news, AI decision dashboards, and multi-channel push notifications via GitHub Actions.
Expert skill for using DeepSeek-OCR, a vision-language model for optical character recognition with context optical compression supporting documents, PDFs, and images.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.