Skill UI

Operate Famulor voice AI assistants, calls, campaigns, messaging, knowledge, telephony and workspace settings through the hosted Streamable HTTP MCP server. Discover live tools, pick the smallest toolset, verify changes, and respect authorization boundaries.

This skill covers configuring host-based and cloud firewalls using iptables, nftables, and UFW. It includes implementing network segmentation, traffic filtering, and security zone policies. Suitable for securing server perimeters, migrating firewall technologies, and responding to security incidents. Requires Linux root access and network knowledge.

This skill helps developers create highly focused, folder-specific documentation (`CLAUDE.md` and `AGENTS.md`). It systematically analyzes all files in a target directory to extract project purpose, operational constraints, naming conventions, and critical decisions. This deep context ensures that future AI agents (like Claude or Codex) operate with localized knowledge, preventing them from relying on global, generalized instructions and improving their accuracy in that specific domain.

This skill extracts full transcripts and rich metadata from a single YouTube video URL. It uses yt-dlp to download subtitles, cleans VTT timing markers, and pulls video details (title, channel, date). The output is a structured, queryable Markdown file, ideal for populating a personal knowledge vault and enabling downstream knowledge graph extraction or content repurposing.

This skill guides the creation of comprehensive, structured strategic documents (SSOT, life vision, principles) using a strict, iterative interview-style methodology. Instead of generating content, the AI asks one focused question at a time. The user provides the answer, and the AI patches the document incrementally, ensuring the user remains the primary author. It is ideal for deep reflection, strategic planning, and building authoritative knowledge bases.

This skill provides production-ready shell script templates for common Linux system administration tasks such as backups, monitoring, user management, and log analysis. It serves as a foundation for security operations and penetration testing environments, requiring basic bash knowledge and appropriate system permissions.

An expert guide for deploying and optimizing Large Language Models (LLMs) entirely on local hardware. Mastering the entire local AI ecosystem, including inference engines like Ollama, vLLM, and llama.cpp. Provides deep knowledge on quantization formats (GGUF, EXL2, AWQ), VRAM calculation, and ensuring privacy-first, offline deployment for state-of-the-art models.

Framework-agnostic long-term project memory for AI agents. Persists architecture decisions, conventions, and context as plain Markdown files in .lore/, enabling any agent to record, recall, audit, sync, and query project knowledge.

Maintain a review-first engineering wiki with provenance, citation-aware queries, explicit capture and promotion, and deterministic checks. Helps teams capture durable lessons and verify knowledge before turning it into rules.

This skill provides methodologies for designing sophisticated, layered memory architectures for AI agents. It moves beyond simple context windows and basic vector stores by incorporating short-term, long-term, and graph-based memory systems. Implementing this is crucial for agents that require persistence across sessions, maintaining complex entity consistency, and performing advanced, relationship-driven reasoning over accumulated knowledge bases, including time-aware fact tracking.

A self-hosted, semantic memory service designed for AI agents. It allows agents to save worklogs, decisions, and notes, and recall this knowledge across sessions based on meaning rather than exact keywords. Using pgvector and structured workspaces, it maintains persistent, context-aware knowledge bases, making it ideal for collaborative AI projects.

This guide provides expert patterns for implementing secure, full-stack authentication in Next.js using Supabase. It covers essential architectural components, including setting up separate browser and server clients, utilizing middleware for route protection and session refreshing, handling OAuth callbacks, and implementing auth operations safely via Server Actions and Server Components. Essential knowledge for building secure, modern web applications.