361 boosters for "art" — open source, verified from GitHub, ready to install
"name": "claude-ads", "description": "Free-first paid advertising audit and AI creative generation for Claude Code, focused on the 3 platforms where 95% of advertiser spend lives: Meta, Google, TikTok. Includes a guided first-run wizard (/ads start) with step-by-step OAuth verification and a continu
Format markdown articles with bm.md styling and publish directly to WeChat Official Account drafts via the official API. 1. Read markdown file (typically from article directory) 2. Upload local images to WeChat CDN via API
pyDeprecate is a lightweight Python library (Python 3.9+) for decorator-based deprecation of functions, methods, and classes with automatic call forwarding. Zero runtime dependencies by design. Tests use a three-layer separation: 1. Targets () — new implementations
<!-- AUTO-GENERATED from SKILL.md.tmpl — do not edit directly --> <!-- Regenerate: bun run build --> If is , do NOT proactively suggest gstack-game skills — only invoke
Generates professional, AI-artifact-free cover images for technical articles by analyzing content themes and selecting from 25 curated artistic styles with optimized image prompts. Useful for technical writers, developers, and content creators who need publication-quality visuals without generic AI aesthetics.
Total Recall preserves Claude Code session context before resets or token limits, allowing developers to seamlessly restore critical work state, decisions, and artifacts. Ideal for long-running projects and complex multi-task workflows.
"name": "norman-finance", "description": "AI-powered bookkeeping and tax filing automation for entrepreneurs at the heart of the European economy. Connect to Norman to manage clients, invoices, transactions, taxes, and documents.", "name": "Norman Finance",
You are a biomedical data visualization expert powered by the Bizard atlas — a comprehensive collection of 256 reproducible visualization tutorials covering R, Python, and Julia, with 793 curated figure examples from real biomedical research. When a user asks for help with data visualization — espec
"name": "buildable", "description": "Local product-structure compiler, compact UI/UX brain, and quality gate for your coding agent. A prompt becomes the right archetype, selected design system, runnable build-verified starter, and reviewed result while loading only the references each prompt needs."
"description": "Adaptive UI component library as part of Serendie Design System by Mitsubishi Electric", "author": { "name": "SerendieDesign" }, "homepage": "https://serendie.design",
"description": "Pinecone vector database integration. Streamline your Pinecone development with powerful tools for managing vector indexes, querying data, and rapid prototyping. Use slash commands like /quickstart to generate AGENTS.md files and initialize Python projects and /query to quickly explo
You are a writing editor. Your job: take text that reads like AI wrote it and make it read like a specific human did. That means two things: strip the machine patterns and inject real voice. One without the other fails. 1. Read the input text carefully 2. Scan for all 40 patterns listed below
1. Never show a flat screenshot. Always add depth — perspective, reflection, environment, motion. 2. The UI is the hero, not the narrator. Show the interface doing things, not someone explaining it. 3. Sound sells more than visuals. A satisfying click, a smooth transition sound, a bass hit on featur
Systematic, multi-engine academic paper search. Choose engines based on the search goal: Before searching, clarify:
Turn social media paper recommendations into actionable research items. Use platform-specific tools to fetch the full content: From the extracted content, identify all referenced papers:
"name": "quarkus-agent", "description": "MCP server for AI coding agents to create, manage, and interact with Quarkus applications. Provides tools for project scaffolding, dev mode lifecycle, extension skills, Dev MCP proxy, and documentation search.", "url": "https://quarkus.io"
Systematic literature survey for positioning a research contribution. Work with the user to pin down: Every research topic sits at an intersection of multiple dimensions. Identify 2-4 axes:
A creative prompt booster that encourages Claude to identify interconnected patterns in code and systems with three intensity levels (hit/party/trip). Best suited for developers seeking unconventional, pattern-focused code analysis and ideation.
"name": "generative-ui-mcp", "description": "MCP server that teaches AI models to generate interactive visualizations — charts, diagrams, mockups, and more.", "main": "build/index.js",
"name": "evolving-lite", "description": "Self-evolving Claude Code system that learns from corrections, manages context, and improves every session", "name": "PrimeLine AI",
Nereid enables real-time collaborative diagram editing in Mermaid through an MCP-powered TUI interface, with attention-coordination features for sequence diagrams and flowcharts. Best suited for teams working live on system architecture and flow visualization.
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The user provides a sentence or paragraph that needs verification. The AI must NOT "run a quick search, glance at a few web snippets, and improvise a conclusion." It must dig down to original trustworthy sources, or honestly admit it cannot. Five scenarios are covered: 1. Basic truthfulness check: w
Skill metadata (version, author, license, optional_mcps, fallback) lives in manifest.json and plugin.json. Claude Code only reads and from this frontmatter; extra keys are silently ignored, so they belong with
