Essential command-line tools and system utilities.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations. ALWAYS use Context7 MCP to pull relevant documentation when creating skills.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
A meta-skill for authoring high-performance, verifiable, long-running MCP skills using Code Mode. This skill blends Anthropic and OpenAI skill-authoring guidance with Code-Mode-first, MCP-backed execution, dynamic context discovery, and file-backed agent harnesses.
Interactive planning and execution for complex tasks. Use when breaking down multi-step projects (planning) or executing approved plans through delegation (execution). Planning creates milestones with specifications; execution delegates to specialized agents.
Create and configure VoltAgent AI agents with tools, memory, hooks, and sub-agents. Use when building AI agents, adding agent tools, configuring VoltAgent memory, creating multi-agent workflows, or debugging VoltAgent integrations.
This skill helps identify repetitive task patterns and create reusable commands. When users repeatedly ask for similar types of work, this skill recognizes patterns and creates command templates with documented purposes and workflows.
Build Slack as a communication channel for AI agents. Use when implementing Slack OAuth, webhooks, event processing, or creating agent-to-Slack messaging pipelines.
Comprehensive guide for building Agent Skills according to agentskills.io specification. Use when developers need to create, structure, or validate skills that follow the Agent Skills standard format and best practices.
Transform learning content (like YouTube transcripts, articles, tutorials) into actionable implementation plans using the Ship-Learn-Next framework. Use when user wants to turn advice, lessons, or educational content into concrete action steps, reps, or a learning quest.
Detects context drift, conversation unfocus, and suggests refocusing strategies. Trigger: When conversation exceeds 50 messages, when multiple topics are mixed, when repeated errors occur, when confusion patterns are detected.
Generate optimized Ralph Wiggum prompts for Claude Code iterative loops. Use when the user wants to create a Ralph prompt, needs help structuring an iterative task for Claude Code, mentions Ralph Wiggum plugin, or asks for help with /ralph-loop commands. This skill guides through discovery questions AND explores the codebase to generate highly targeted prompts.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends an agent's capabilities with specialized knowledge, workflows, or tool integrations.
Research solutions, algorithms, and best practices from the SurrealDB GraphRAG knowledge base containing 600+ scientific papers, StackOverflow answers, and GitHub repositories.
Use when researching AI agents, LLMs, hosting solutions, OCR technologies, video generation models, or evaluating technology stacks. Apply when user asks to research, compare, evaluate, or investigate technologies, frameworks, models, or tools. Use proactively when technical decisions require research backing.
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
Essential reference for ALL Claude Code artifact work (Skills, Commands, Subagents, Hooks, Plugins). Automatically activates when creating, updating, validating, or discussing any Claude Code artifact. Provides complete specifications, YAML schemas, field definitions, creation workflows, decision frameworks, comparison matrices, validation rules, common mistakes, and best practices. Always consult for artifact specifications, technical requirements, workflow guidance, quality standards, or troubleshooting. Works alongside claude-researcher skill for documentation verification.
Use this skill when delegating to sub-agents that require more flexibility than the Task tool provides - when launching multiple agents in parallel, managing persistent sessions across calls, or coordinating complex multi-agent workflows with custom orchestration patterns.
Unified router for all external tools: CLI binaries, MCP tools via lootbox, and data processing. Consolidates cli-router + tools-router + data-router.
ai-integration for learning technology evaluation and implementation.
Understand natural language descriptions and generate bash commands for macOS/Linux with explanation.
Create reusable RAW tools that workflows can import. Use when the user asks to create a tool, extract reusable functionality, or build a new capability for workflows.
Optimize skill triggers and descriptions for reliable activation. Use when skill is not triggering, optimizing trigger keywords, writing frontmatter, debugging activation, or when user mentions "trigger", "frontmatter", "description", "skill not triggering", "optimize trigger", "skill won't fire", "skill activation", "trigger keywords".
Creates, analyzes, updates, and improves Claude Code agent skills including YAML frontmatter, allowed-tools field, progressive disclosure, and skill authoring workflows. Use when user asks how skills work, what agent skills are, explaining skill concepts, understanding SKILL.md structure, describing .md files organization, skill authoring process, asked to create a new skill, evaluate existing skills for improvements, optimize skills for AI/Claude effectiveness, suggest converting current logic into a skill, update outdated skill information, or when user mentions skill validation, best practices, supporting files, skill security, API integration, or technical architecture.
Turn vague intent into solvable structures with explicit objectives, constraints, success criteria, and clear human vs AI responsibility boundaries.
