Total 31,956 skills, AI & Machine Learning has 5157 skills
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Extract learnings about skill creation/improvement from a session and propagate them to the central skill learnings file, then sync to appropriate skills. Use when a session revealed patterns, anti-patterns, or insights about structuring skills. Invoke via /update-skill-learnings or after skill creation/improvement sessions.
Skill global de TrackOps para explicar que hace TrackOps, exigir la instalacion explicita del runtime con npm y guiar la activacion local de proyectos y OPERA en cada repositorio.
Extract learnings about Claude Code behavior from a session and add them to the project's CLAUDE.md file. Use for behavioral rules, workflow patterns, and project-specific instructions that apply to the main Claude Code agent. Invoke via /update-claude-learnings after sessions revealing behavioral patterns.
Scan the codebase and generate/update CLAUDE.md + reference files (exports, architecture, dev guide) with real project-specific patterns. Run after each coding session or major refactor to keep the AI context map current. Supports Laravel, Next.js, NestJS, Expo/React Native, and Node.js projects.
Constructs technical Suno V5 style prompts, selects genres, and optimizes generation settings. Use when creating or refining Suno prompts for track generation.
Expert guide for creating GitHub Copilot customization files in VS Code: custom instructions (.instructions.md), prompt files (.prompt.md), custom agents (.agent.md), agent skills (SKILL.md), hooks (JSON), and agent plugins. Use this skill whenever the user asks about customizing Copilot behavior, creating reusable AI workflows, writing copilot-instructions.md, building custom chat agents, automating Copilot tasks with prompt files, or setting up agent skills and hooks in VS Code. Also trigger when the user asks which Copilot customization type to use for a given scenario — always start with the decision matrix below.
Natural language → SQL → execute read queries against the database. Auto-detects local connection, discovers project connectors for remote environments and domain knowledge. TRIGGER when: user asks a data question in natural language (count, list, show, verify, check, how many, cuantos, traeme, muéstrame), mentions database tables, or asks about data in any environment (production, staging, dev, local). DO NOT TRIGGER when: user provides raw SQL ready to execute.
Evaluate and rank agent results by metric or LLM judge for an AgentHub session.
Use when work should be delegated to Claude Code CLI, especially headless `claude -p` runs, automation scripts, CI jobs, resumable sessions, or requests to use Claude/Claude Code for a task.
Enables agents to register, manage, and execute scheduled tasks using OS native scheduler (crontab for Linux/WSL, launchd for macOS). No git, no dangerous flags, no session dependency. Tasks run headless, output to log files, user reads when ready. Use this skill when: - User wants to schedule recurring tasks with natural language - User mentions "every day at", "cada hora", "schedule", "programar", "automatizar" - User needs tasks to run without open session (headless) - User wants OS-level scheduling (crontab/launchd) - User mentions "cada minuto durante la próxima hora" or temporal intervals ACTIVATE when user mentions: "schedule", "programar", "cron", "cada día", "every hour", "automate", "tarea programada", "ejecutar automáticamente", "recordatorio", "cada minuto durante", "durante la próxima", "intervalo", "task scheduler", "opencode headless", "kiro scheduled", "background task", "tarea en segundo plano" DO NOT USE for: git operations, dangerous permissions, MCP sampling dependency.
Analyze your reading history and tell you something surprising you don't know about yourself
Create prediction markets from natural language on Context Markets