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Found 91 Skills
Use when tasks require current, source-backed technical information from MCP tools. Apply for library/API questions, dependency version checks, third-party integration work, framework- or SDK-specific debugging, and any case where stale model knowledge could cause incorrect guidance.
Create and paint textures in Blockbench using MCP tools. Use when creating textures, painting on models, using brush tools, filling colors, drawing shapes, applying gradients, managing texture layers, or working with UV mapping. Covers pixel art texturing, procedural painting, and UV manipulation.
Create, edit, and export live Excalidraw diagrams using mcp-excalidraw-server (MCP tools + canvas REST API). Use when an agent needs to draw/lay out diagrams, convert Mermaid to Excalidraw, query/update/delete elements, or export/import elements from a running canvas server (EXPRESS_SERVER_URL, default http://localhost:3000).
Use when user input contains xlb topic queries (for example "xlb >vibe coding/vib", "xlb ??vibe coding", or "查询xlb vibe coding主题") and the task is to fetch Markdown index from local getPluginInfo API, then perform code-based retrieval with routing to available network skills/MCP tools when possible.
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
Create agent skills for Microsoft technologies using Learn MCP tools. Use when users want to create a skill that teaches agents about any Microsoft technology, library, framework, or service (Azure, .NET, M365, VS Code, Bicep, etc.). Investigates topics deeply, then generates a hybrid skill storing essential knowledge locally while enabling dynamic deeper investigation.
Debug failed Render deployments by analyzing logs, metrics, and database state. Identifies errors (missing env vars, port binding, OOM, etc.) and suggests fixes. Use when deployments fail, services won't start, or users mention errors, logs, or debugging.
Uncertainty-aware non-linear reasoning system with recursive subagent orchestration. Triggers for complex reasoning, research, multi-domain synthesis, or when explicit commands `/nlr`, `/reason`, `/think-deep` are used. Integrates think skill (reasoning), agent-core skill (acting), and MCP tools (infranodus, exa, scholar-gateway) in recursive think→act→observe loops. Uses coding sandbox for execution validation and maintains deliberate noisiness via NoisyGraph scaffold. Supports `/compact` mode for abbreviated outputs and `/semantic` mode for rich exploration.
Checks if a specific service is available at a given address.
Use this skill when querying Tarkov game data via MCP tools. Provides optimal query patterns, data relationships, and best practices for the tarkov-dev and eft-wiki MCP servers.
Multi-agent orchestration workflow for deep research: Split a research objective into parallel sub-objectives, run sub-processes using Claude Code non-interactive mode (`claude -p`); prioritize installed skills for network access and data collection, followed by MCP tools; aggregate sub-results with scripts and refine them chapter by chapter, and finally deliver "finished report file path + summary of key conclusions/recommendations". Applicable scenarios: systematic web/data research, competitor/industry analysis, batch link/dataset shard retrieval, long-form writing and evidence integration, or scenarios where users mention "deep research/Deep Research/Wide Research/multi-agent parallel research/multi-process research".
Use when researching or implementing anything related to Apple platforms (iOS, iPadOS, macOS, watchOS, tvOS, visionOS), Swift/Objective-C APIs, Apple frameworks, WWDC sessions, or Apple Developer Documentation. Triggers include: "find Apple's docs", "latest API guidance", "WWDC session", "platform availability", "SwiftUI/UIKit/AppKit/Combine/AVFoundation/etc.", or any Apple SDK coding question where authoritative docs are needed. Always use the apple-docs MCP tools for discovery and citations instead of general web search.