Skill UI

Provides actionable guidance and review checklists for modern clean UI/UX, emphasizing CRAP principles, task-first flows, information architecture, system feedback, consistency, and refined iconography.

Handles QA code review reports by prioritizing critical and warning findings, implementing fixes with tests, running verification checklists, and preparing re-verification reports via the Forja Dev agent.

Intelligent multi-strategy web scraper that selects between static WebFetch, browser automation, curl/bash, and WebSearch paths to extract structured tables, lists, pricing, and other data, with pagination handling, validation confidence, transforms, and CSV/JSON output for monitoring workflows.

A comprehensive tool for advanced SEO data analysis. It provides real-time SERP results across major platforms (Google, Bing, YouTube, Images), alongside deep keyword metrics (volume, difficulty, intent), backlink profiling, competitor analysis, and specialized tracking for AI/LLM mentions and content performance. Ideal for digital marketers and SEO specialists.

Performs a deep, multi-dimensional SEO audit on a single URL. This tool analyzes critical on-page elements (title, meta description, headers), content quality (readability, E-E-A-T), technical structure (schema, canonical tags, mobile optimization), image performance, and potential Core Web Vitals issues. Ideal for content strategists, SEO specialists, and web developers needing actionable, prioritized optimization reports.

Framework for auditing and optimizing GEO content for each AI search platform, scoring Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot with tailored checklists and action steps.

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.

Guides founders through multi-platform launches—Product Hunt, Hacker News, BetaList, AppSumo, directories, and communities—covering asset prep, waitlists, outreach, and post-launch optimization to maximize momentum and long-tail discovery.

This skill analyzes Active Directory (AD) Access Control Lists (ACLs) to detect dangerous misconfigurations. It uses the ldap3 Python library to query domain controllers, parse security descriptors (SDDL), and identify instances where non-privileged users or groups are granted dangerous permissions like GenericAll, WriteDACL, or WriteOwner on sensitive objects. Essential for security incident response and privilege escalation path discovery.

This skill details the forensic analysis of Windows LNK shortcut files and Jump Lists. It enables investigators to reconstruct user activity, track file access, and determine program execution history by parsing critical metadata like timestamps, paths, and system identifiers, even when the original artifacts are deleted.

This skill outlines the comprehensive process of memory forensics on compromised Linux systems. It guides users through acquiring volatile memory using the LiME kernel module and analyzing the resulting image with the Volatility 3 framework. Key artifacts extracted include process lists, network connections, bash history, and loaded kernel modules, making it an essential technique for incident response, threat hunting, and security investigations.

This guide details how to build and manage a robust two-tier Public Key Infrastructure (PKI) using OpenSSL. Learn to establish a Root CA and an Intermediate CA, issue server and client certificates, configure Certificate Revocation Lists (CRLs), and implement best practices for secure key management and certificate policy enforcement, ensuring compliance and high security standards.