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      "skill_name": "simpo",
      "category": "mlops/training",
      "frontmatter_name": "simpo-training",
      "description": "Simple Preference Optimization for LLM alignment. Referen...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "slime",
      "category": "mlops/training",
      "frontmatter_name": "slime-rl-training",
      "description": "Provides guidance for LLM post-training with RL using sli...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "torchtitan",
      "category": "mlops/training",
      "frontmatter_name": "distributed-llm-pretraining-torchtitan",
      "description": "Provides PyTorch-native distributed LLM pretraining using...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "trl-fine-tuning",
      "category": "mlops/training",
      "frontmatter_name": "fine-tuning-with-trl",
      "description": "Fine-tune LLMs using reinforcement learning with TRL - SF...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "unsloth",
      "category": "mlops/training",
      "frontmatter_name": "unsloth",
      "description": "Expert guidance for fast fine-tuning with Unsloth - 2-5x ...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "chroma",
      "category": "mlops/vector-databases",
      "frontmatter_name": "chroma",
      "description": "Open-source embedding database for AI applications. Store...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "faiss",
      "category": "mlops/vector-databases",
      "frontmatter_name": "faiss",
      "description": "Facebook's library for efficient similarity search and cl...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "pinecone",
      "category": "mlops/vector-databases",
      "frontmatter_name": "pinecone",
      "description": "Managed vector database for production AI applications. F...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "qdrant",
      "category": "mlops/vector-databases",
      "frontmatter_name": "qdrant-vector-search",
      "description": "High-performance vector similarity search engine for RAG ...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "obsidian",
      "category": "note-taking",
      "frontmatter_name": "obsidian",
      "description": "Read, search, and create notes in the Obsidian vault.",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "google-workspace",
      "category": "productivity",
      "frontmatter_name": "google-workspace",
      "description": "Gmail, Calendar, Drive, Contacts, Sheets, and Docs integr...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "linear",
      "category": "productivity",
      "frontmatter_name": "linear",
      "description": "Manage Linear issues, projects, and teams via the GraphQL...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "nano-pdf",
      "category": "productivity",
      "frontmatter_name": "nano-pdf",
      "description": "Edit PDFs with natural-language instructions using the na...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "notion",
      "category": "productivity",
      "frontmatter_name": "notion",
      "description": "Notion API for creating and managing pages, databases, an...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "ocr-and-documents",
      "category": "productivity",
      "frontmatter_name": "ocr-and-documents",
      "description": "Extract text from PDFs and scanned documents. Use web_ext...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "powerpoint",
      "category": "productivity",
      "frontmatter_name": "powerpoint",
      "description": "Use this skill any time a .pptx file is involved in any w...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "godmode",
      "category": "red-teaming",
      "frontmatter_name": "godmode",
      "description": "Jailbreak API-served LLMs using G0DM0D3 techniques — Pars...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "arxiv",
      "category": "research",
      "frontmatter_name": "arxiv",
      "description": "Search and retrieve academic papers from arXiv using thei...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "blogwatcher",
      "category": "research",
      "frontmatter_name": "blogwatcher",
      "description": "Monitor blogs and RSS/Atom feeds for updates using the bl...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "domain-intel",
      "category": "research",
      "frontmatter_name": "domain-intel",
      "description": "Passive domain reconnaissance using Python stdlib. Subdom...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "duckduckgo-search",
      "category": "research",
      "frontmatter_name": "duckduckgo-search",
      "description": "Free web search via DuckDuckGo — text, news, images, vide...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [
          "web"
        ],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "ml-paper-writing",
      "category": "research",
      "frontmatter_name": "ml-paper-writing",
      "description": "Write publication-ready ML/AI papers for NeurIPS, ICML, I...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "polymarket",
      "category": "research",
      "frontmatter_name": "polymarket",
      "description": "Query Polymarket prediction market data — search markets,...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "openhue",
      "category": "smart-home",
      "frontmatter_name": "openhue",
      "description": "Control Philips Hue lights, rooms, and scenes via the Ope...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "telegram-bot-profile",
      "category": "social-media",
      "frontmatter_name": "telegram-bot-profile",
      "description": "Configure a Telegram bot's profile — name, bio, short des...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "xitter",
      "category": "social-media",
      "frontmatter_name": "xitter",
      "description": "Interact with X/Twitter via the x-cli terminal client usi...",
      "platforms": [
        "linux",
        "macos"
      ],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "code-review",
      "category": "software-development",
      "frontmatter_name": "code-review",
      "description": "Guidelines for performing thorough code reviews with secu...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "plan",
      "category": "software-development",
      "frontmatter_name": "plan",
      "description": "Plan mode for Hermes — inspect context, write a markdown ...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "requesting-code-review",
      "category": "software-development",
      "frontmatter_name": "requesting-code-review",
      "description": "Use when completing tasks, implementing major features, o...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "subagent-driven-development",
      "category": "software-development",
      "frontmatter_name": "subagent-driven-development",
      "description": "Use when executing implementation plans with independent ...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "systematic-debugging",
      "category": "software-development",
      "frontmatter_name": "systematic-debugging",
      "description": "Use when encountering any bug, test failure, or unexpecte...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "test-driven-development",
      "category": "software-development",
      "frontmatter_name": "test-driven-development",
      "description": "Use when implementing any feature or bugfix, before writi...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    },
    {
      "skill_name": "writing-plans",
      "category": "software-development",
      "frontmatter_name": "writing-plans",
      "description": "Use when you have a spec or requirements for a multi-step...",
      "platforms": [],
      "conditions": {
        "fallback_for_toolsets": [],
        "requires_toolsets": [],
        "fallback_for_tools": [],
        "requires_tools": []
      }
    }
  ],
  "category_descriptions": {
    "apple": "Apple/macOS-specific skills — iMessage, Reminders, Notes, FindMy, and macOS automation. These skills only load on macOS systems.",
    "autonomous-ai-agents": "Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.",
    "creative": "Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.",
    "data-science": "Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.",
    "diagramming": "Diagram creation skills for generating visual diagrams, flowcharts, architecture diagrams, and illustrations using tools like Excalidraw.",
    "domain": "Passive domain reconnaissance using Python stdlib. Use this skill for subdomain discovery, SSL certificate inspection, WHOIS lookups, DNS records, domain availability checks, and bulk multi-domain analysis. No API keys required. Triggers on requests like \"find subdomains\", \"check ssl cert\", \"whois lookup\", \"is this domain available\", \"bulk check these domains\".",
    "email": "Skills for sending, receiving, searching, and managing email from the terminal.",
    "feeds": "Skills for monitoring, aggregating, and processing RSS feeds, blogs, and web content sources.",
    "gaming": "Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.",
    "gifs": "Skills for searching, downloading, and working with GIFs and short-form animated media.",
    "github": "GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.",
    "mcp": "Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Includes the built-in native MCP client (configure servers in config.yaml for automatic tool discovery) and the mcporter CLI bridge for ad-hoc server interaction.",
    "media": "Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.",
    "mlops": "Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models",
    "mlops/cloud": "GPU cloud providers and serverless compute platforms for ML workloads.",
    "mlops/evaluation": "Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.",
    "mlops/inference": "Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.",
    "mlops/models": "Specific model architectures and tools — computer vision (CLIP, SAM, Stable Diffusion), speech (Whisper), audio generation (AudioCraft), and multimodal models (LLaVA).",
    "mlops/research": "ML research frameworks for building and optimizing AI systems with declarative programming.",
    "mlops/training": "Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.",
    "mlops/vector-databases": "Vector similarity search and embedding databases for RAG, semantic search, and AI application backends.",
    "music-creation": "Skills for generating, editing, and processing music and audio using AI models and audio tools.",
    "note-taking": "Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.",
    "productivity": "Skills for document creation, presentations, spreadsheets, and other productivity workflows.",
    "productivity/ocr-and-documents": "Skills for extracting text from PDFs, scanned documents, images, and other file formats using OCR and document parsing tools.",
    "research": "Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.",
    "smart-home": "Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.",
    "social-media": "Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations."
  }
}