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Found 129 Skills
Use when creating visual boards, strategy canvases, architecture diagrams, or sprint boards in Miro. Triggers on "miro board", "visual diagram", "strategy canvas", "whiteboard".
Create high-quality ToolUniverse skills following test-driven, implementation-agnostic methodology. Integrates tools from ToolUniverse's 1,264+ tool library, creates missing tools when needed using devtu-create-tool, tests thoroughly, and produces skills with Python SDK + MCP support. Use when asked to create new ToolUniverse skills, build research workflows, or develop domain-specific analysis capabilities for biology, chemistry, or medicine.
Places album art files in the correct audio and content directory locations. Use when the user has generated or downloaded album artwork that needs to be saved.
Creates, modifies, and manages Claude Code subagents by writing agent files with YAML frontmatter, system prompts, and tool configurations. Use when you need to "create an agent", "modify an agent", "set up a specialist", "I need an agent for [task]", "agent to handle [domain]", or "configure agent tools". Covers agent file format, YAML frontmatter, system prompts, tool restrictions, MCP integration, model selection, and testing.
Agent skill for benchmark-suite - invoke with $agent-benchmark-suite
Agent skill for goal-planner - invoke with $agent-goal-planner
List taxonomy labels in One Horizon (goals, companies, products, releases, components). Use when asked "show taxonomy", "find label IDs", or "tag this initiative". Requires One Horizon MCP.
Find, connect, and use MCP tools and skills via the Smithery CLI. Use when the user searches for new tools or skills, wants to discover integrations, connect to an MCP, install a skill, or wants to interact with an external service (email, Slack, Discord, GitHub, Jira, Notion, databases, cloud APIs, monitoring, etc.).
Discover and recommend ruflo plugins based on your workflow, installed MCP tools, and current task
Use when a user wants an agent to convert USDT BEP20 into UAH payout instructions through a verified exchange flow with approval, expiry, AML screening, and payment monitoring.
Use when the user asks to install, configure, verify, troubleshoot, or understand OpenPets; install or select a pet; connect Claude Code, OpenCode, Cursor, Codex, or MCP clients; configure a project to use a specific pet; or debug openpets_status, openpets_react, or openpets_say.
Local-first AI coding agent powered by llama.cpp with zero tokens costs, Docker sandboxing, 20 built-in tools, LSP/Roslyn intelligence, and MCP integration