Skill UI

Assess how likely AI systems such as ChatGPT, Claude, Perplexity or Gemini are to extract and cite content from a page by scoring answer blocks, self-contained facts, and structure, and by giving rewrite tips to improve visibility in AI responses.

Generates and validates llms.txt files, the emerging standard that tells AI systems how to prioritize and understand a website; crawls content, ranks pages, and enforces formatting so your brand narrative stays consistent.

This skill enforces rigorous governance and discipline when AI modifies systems, debugs code, or makes root-cause claims. It mandates safety gates (e.g., backup, blast radius check), demands evidence for every diagnosis, and prevents common AI shortcuts like guessing or deflecting. Use this for critical code modifications, complex debugging, and high-stakes deployments to ensure thoroughness and safety.

Scans YouTube, Reddit, and Wikipedia mentions to assess how AI systems recognize brands, generating a Brand Authority Score with platform-specific recommendations.

This tool is designed to help optimize and refine prompts used with Large Language Models (LLMs). By structuring inputs, it ensures that the instructions given to AI systems are clear, comprehensive, and contextually rich, resulting in significantly higher quality and relevance of the generated output. Useful for developers, writers, and researchers.

Helps founders and GTM teams set metrics, build tiers, and manage margins for AI products by grounding pricing choices in compute cost realities, credit systems, and buyer personas so revenue models scale with value.

Guides founders and GTM teams on designing and deploying AI SDR systems, automating qualification, routing signals into actions, and orchestrating human-in-the-loop handoffs across inbound/outbound motions and CRM stacks.

Designs content-led go-to-market systems that reverse-engineer distribution, repurpose pillar content, and track attribution so every post, video, or newsletter feeds measurable revenue and pipeline growth.

Guides GTM leaders through expansion and retention systems that reduce churn, automate customer success, and optimize net revenue retention via usage triggers, health scoring, and land-and-expand playbooks.

Builds AI-powered paid media creative across Meta, Google, TikTok, YouTube, and LinkedIn by combining native platform tools and generative models to automate asset creation, fatigue management, and performance testing while driving ROAS.

This tool generates comprehensive briefing documents for scheduled meetings. It integrates data from calendar systems, email history (up to 90 days and historical), professional networking sites (LinkedIn), and past interaction records (Granola). It provides context on attendees, relationship history, key discussion points, and critical action items to ensure users are fully prepared for every call, regardless of whether it's a first introduction or a follow-up.

This comprehensive guide details the process of creating forensically sound, bit-for-bit disk images using industry-standard tools like `dd` and `dcfldd` on Linux systems. It covers essential steps including enabling write protection, documenting source metadata, performing the acquisition, and crucially, verifying the image integrity using cryptographic hashing (MD5/SHA-256). This methodology is vital for digital forensics, incident response, and legal proceedings to ensure evidence remains unaltered and admissible.