Skill UI

This skill performs security-focused code reviews for pull requests, commits, and diffs. It prioritizes high-risk areas like authentication, cryptography, and external calls. The process is evidence-based, requiring specific line numbers and attack scenarios. It adapts to codebase size and always generates a comprehensive markdown report.

Authorized digital forensics workflow: memory dumps with Volatility, disk and super-timelines, PCAP investigation with tshark, Windows artifact triage, and chain-of-custody evidence preservation.

This skill involves testing AI agents for direct prompt injection vulnerabilities where user messages attempt to override system instructions. It focuses on role confusion and instruction hijacking without external content, ensuring agents maintain security boundaries against direct manipulation attempts.

Implement disaster recovery strategies and runbooks for business continuity. Plan RTO/RPO targets, compare AWS cross-region failover patterns, and run DR testing procedures.

A comprehensive toolkit for automating various Discord operations, including sending messages (DMs and channels), managing user roles, creating and executing webhooks, and controlling message reactions. It utilizes Rube MCP and dedicated `discord` and `discordbot` toolkits, providing deep programmatic control over Discord interactions and administrative tasks.

This skill enables the creation of production-ready Discord bots using Discord.js for JavaScript and Pycord for Python. It covers essential features including gateway intents, slash commands, interactive components, rate limiting, and sharding strategies to ensure scalability and performance in live environments.

A powerful plugin enabling Claude Code to delegate complex tasks to external AI CLIs (such as OpenAI Codex or Google Antigravity/Gemini) without exiting the conversation. It supports multi-model workflows, allowing users to seek a second opinion, cross-check deep analysis, or delegate side tasks (like research or code review). The core value is that Claude synthesizes the raw outputs, providing a critical review and reconciliation of findings across all consulted models.

This guide details the comprehensive workflow for distributing a single AI skill across various local agent skill directories (Codex, Claude, Pi, Hermes). It addresses canonical locations, symlink management, and specific synchronization commands to ensure that all agents detect the latest skill version while correctly navigating common development pitfalls.

Set up comprehensive debugging environments, distributed tracing, and diagnostic tools for development and production. Configure tracing, logging standards, and troubleshooting workflows to diagnose multi-service issues efficiently.

Implement distributed tracing with Jaeger and Tempo for request flow visibility across microservices. Configure OpenTelemetry SDK and exporters to diagnose latency and errors. Ensure secure context propagation without logging sensitive data. Verify trace spans and sampling strategies for production observability.

Ditto mines user words from local coding-agent session logs to create private work, design, and writing profiles. It requires explicit user approval before mining begins and keeps all data local. This skill routes a compatible Ditto runtime to extract patterns from real coding history rather than questionnaires, ensuring privacy and evidence-backed personalization for AI agents.

Review Django and DRF code for access control vulnerabilities, IDOR, and object-level authorization failures. Use when auditing views, viewsets, or ORM queries for authorization gaps.