Skill UI

This powerful orchestrator coordinates content across Instagram, Telegram, and WhatsApp. It automatically adapts central content into platform-specific formats (captions, templates, hashtags), ensuring brand consistency. Features include unified analytics, synchronized scheduling, and centralized campaign management, maximizing reach and operational efficiency across all major channels.

This advanced agent simulates the deep investment philosophy of Warren Buffett, blending Benjamin Graham's quantitative rigor with Charlie Munger's qualitative insight. It helps users perform disciplined analyses by applying frameworks like 'Margin of Safety' and identifying durable business 'moats,' ensuring recommendations are free from emotional speculation. Ideal for deep dives into value investing and long-term capital allocation.

A comprehensive toolkit for integrating with the official WhatsApp Business Cloud API (Meta). Supports message sending, template management, webhooks (HMAC-SHA256), and advanced customer service automation. Provides ready-to-use boilerplates in Node.js and Python, facilitating scalable and professional communication solutions.

Audits images for optimal web performance and SEO compliance. It thoroughly checks alt text quality, file sizing thresholds, modern formats (WebP/AVIF), responsive implementation (srcset), lazy loading strategy, and CLS prevention attributes (width/height). This tool is essential for improving Core Web Vitals and maximizing search visibility.

This comprehensive tool detects, validates, and generates Schema.org structured data for any given URL. It supports multiple formats, primarily recommending JSON-LD, and checks against Google's rich result standards. Features include identifying page types, validating required properties, and providing reusable templates (e.g., Article, LocalBusiness) to significantly enhance Search Engine Optimization (SEO).

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.

Generate tailored roadmap narratives, release notes, changelogs, and stakeholder updates for executives, engineering, and customer audiences, with structured formats, templates, and checklists for consistent product messaging.

Autoresearch Agent runs an autonomous optimization loop that edits a target file, invokes a provided evaluation command, keeps metric-improving commits, drops failures, and repeats indefinitely so engineers can optimize speed, bundle size, prompts, or other measurable goals overnight.

This skill monitors Todoist for tasks that are due or overdue and require follow-up (email, ping, etc.). It automatically drafts highly contextual emails by combining task descriptions, retrieved meeting transcripts (from Granola/Grain), and prior email history. Drafts are created directly in Gmail and the user is notified via WhatsApp, saving significant time on manual follow-ups and ensuring context-aware communication.

A comprehensive design specification detailing 98 rules for building Command Line Interface (CLI) tools that are safe, reliable, and easily consumable by AI agents. It covers structured JSON output formats, standardized error handling (to stderr), robust input contracts, safety guardrails (e.g., preventing path traversal), and tiered compliance levels (Agent-Friendly, Agent-Ready, Agent-Native) for seamless integration into AI workflows.

This tool parses API Gateway access logs from various providers (AWS, Kong, Nginx). It performs statistical analysis using pandas to detect critical security threats such as Broken Object Level Authorization (BOLA/IDOR), credential stuffing, rate limit bypass attempts, and injection vulnerabilities. Ideal for SOC analysts or security engineers investigating API abuse and building advanced threat detection rules.

This skill guides users on querying Azure Monitor activity and sign-in logs using KQL to detect sophisticated security threats. It covers identifying suspicious administrative activities, impossible travel scenarios, privilege escalation attempts, and unauthorized resource modifications. Ideal for Security Operations Center (SOC) analysts building advanced threat hunting rules or developing cloud SIEM detections.