Skill UI

Skill Sentinel audits and evolves a skills ecosystem by analyzing quality, security, cost, governance, documentation, dependencies, and cross-skill duplication, then generates health reports, recommendations, and orchestrates assessments for teams managing multiple automations.

This skill helps select and place genuine testimonials, case studies, and social proof to address specific trust barriers in marketing. It involves analyzing audience psychographics and trust gaps to match the right proof type (authority, similarity, volume) to the context. It ensures ethical use of evidence to reduce hesitation at critical decision points without manipulation.

This guide provides a comprehensive framework for early-stage companies to track, calculate, and optimize their key performance indicators (KPIs). It covers best practices for various startup business models, guiding teams from the initial seed stage through to Series A funding. Use this skill when developing, analyzing, or refining a structured startup metrics strategy.

This skill provides a structured approach to systematically identify security threats by applying the STRIDE methodology (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege). It is crucial for conducting thorough threat modeling sessions, analyzing system architectures, reviewing security design decisions, and creating robust security documentation for compliance and auditing purposes.

This skill involves conducting threat modeling using the STRIDE methodology to identify potential security threats, assess risks, and design appropriate security controls. It is essential when designing secure systems, making architectural changes, or preparing for security audits. The process includes analyzing data flows, identifying trust boundaries, and mitigating risks related to spoofing, tampering, repudiation, information disclosure, denial of service, and privilege escalation.

Finds similar vulnerabilities and bugs across codebases using pattern-based analysis. Ideal for hunting bug variants, building CodeQL/Semgrep queries, analyzing security issues, and systematic code audits after an initial discovery.

This skill enables comparing process cohorts, departments, or time periods using matched definitions. It involves fixing outcome definitions, metrics, and aggregations while freezing baselines. Users should use specific API calls to retrieve metrics and statistics for matched pairs, ensuring reproducibility and avoiding data leakage between exploratory and baseline filters. It supports analyzing before-and-after results with strict time window controls.

Looot is an MCP server providing access to over 2,500 data API endpoints. It allows users to search for work emails, company information, SERP results, and web pages from a single prepaid balance. Ideal for enriching person or company data, analyzing SEO metrics, scraping web content, and retrieving social media profiles. It supports various tools like Claude, Cursor, and Gemini via the Model Context Protocol.

This skill helps vet Telegram channels for advertising by analyzing reach benchmarks, subscriber authenticity, and topic relevance. It guides users to calculate CPM based on actual views and deletion windows, identifying red flags like ad networks or fake subscribers to ensure effective media buying.

This skill accesses DEX market data across eight EVM chains including Ethereum and Base. It prepares optimal swap routes and generates unsigned transaction details for user wallets. It never signs or moves funds, requiring explicit user confirmation before execution. Ideal for analyzing token prices, chart data, and executing secure decentralized exchanges trades without private key exposure.

FlowKit is a Python library for analyzing flow cytometry data. It supports spillover compensation, logicle transforms, hierarchical gating, and GatingML strategies. Users can reproduce FlowJo 10 workspace analyses, generate reproducible gate counts, population percentages, and fluorescence summaries. Requires Python 3.13 and specific dependencies for scientific computing.

Generates three original page titles by analyzing a competitor's title and your page topic, with a recommended option and rationale. Helps SEO writers differentiate content without copying phrasing or promising CTR gains.