Skill UI

Implements a robust caching strategy by using the SHA-256 hash of file content as the primary key, instead of the file path. This pattern is essential for high-cost file processing pipelines (like OCR, PDF parsing) because it ensures cache hits survive file renaming or moving, while still automatically invalidating entries when the content changes. It adheres to the Single Responsibility Principle (SRP) by isolating caching logic into a service layer wrapper.

A comprehensive reference architecture for deploying meeting intelligence platforms (like Granola) across large organizations. This blueprint details the core data capture pipeline, integration topology using middleware (Zapier), multi-workspace structure (Sales, HR, Engineering), and robust security layers (SSO, AES-256) to ensure automated workflows from meeting to action item across all departments.

Used for building, debugging, and extending MCP servers and clients. This skill implements robust connections between AI systems and external tools/data sources using structured protocols like JSON-RPC 2.0. Expertise includes defining tool schemas (Zod/Pydantic), configuring transport layers (HTTP/SSE/stdio), and scaffolding full-stack projects in TypeScript or Python.

This skill provides comprehensive principles for developing multiplayer games, covering essential topics from networking architecture (Dedicated, P2P, Host-based) to advanced synchronization techniques. It details how to handle latency via prediction, interpolation, and lag compensation, optimize bandwidth using delta compression, and implement robust security measures like server authority and anti-cheat systems. Ideal for developers building real-time online experiences.

A comprehensive diagnostic guide for resolving common errors across the entire Supabase stack, including PostgREST, PostgreSQL, Authentication, and Storage. Use this tool when encountering specific error codes (e.g., PGRST301, 42501) or debugging complex API failures like RLS violations or session expiry. It provides step-by-step instructions for identifying the error layer and applying the correct fix.

A comprehensive foundation skill for monitoring cryptocurrency markets. It provides real-time quotes, 24-hour change metrics, and deep historical price data for over 10,000 coins. Users can track specific symbols, view predefined watchlists (e.g., DeFi, Top 10), or export detailed OHLCV data in CSV format. This skill serves as the foundational data layer for crypto portfolio management, tax calculation, and DeFi analysis applications.

This expert skill reviews the architecture and design of the Bitcoin Lightning Network protocol. It analyzes complex Layer 2 scaling tradeoffs, compares various channel factory approaches, and evaluates critical technical aspects—including trust models, on-chain footprint, consensus requirements, HTLC/PTLC compatibility, liveness guarantees, and watchtower support. Use this when assessing the cryptographic and systemic soundness of L2 blockchain protocols.

A comprehensive technical reference for implementing advanced Lightning Network channel factories. It covers complex topics such as multi-party channels, Layer 2 scaling on Bitcoin, and advanced protocols including Decker-Wattenhofer invalidation trees, MuSig2 key aggregation, and encrypted Noise NK transport. Essential for developers building highly scalable and secure Bitcoin infrastructure.

A two-layer memory architecture designed for managing corporate board meeting decisions. It separates raw, unfiltered transcripts (Layer 1) from founder-approved, canonical decisions and action items (Layer 2). This system ensures historical accuracy, tracks overdue tasks via commands like /cs:review, and actively detects topic contradictions and conflicts to maintain governance integrity.

Blueprint for B2B lead enrichment that sequences waterfalls, ICP scoring layers, and verification pipelines to maximize coverage, boost intent alignment, and keep cost per verified contact low.

This methodology systematically deobfuscates multi-layered PowerShell malware. It utilizes Abstract Syntax Tree (AST) analysis, dynamic execution tracing, and specialized tools (like PSDecode) to recover hidden payloads, original commands, and C2 infrastructure from scripts obfuscated with Base64, string concatenation, or complex invocation tricks. Essential for incident response and deep malware analysis.

This guide provides comprehensive techniques for detecting Layer 2 ARP poisoning and spoofing attacks. It covers monitoring gratuitous ARP floods, tracking IP-to-MAC mapping changes, and identifying rogue devices. Techniques include deploying ARPWatch, configuring Dynamic ARP Inspection (DAI) on managed switches, and using advanced Wireshark filters or custom Python scripts for robust security monitoring and incident response.