Skill UI

This skill aggregates comprehensive audit data from various GEO dimensions (technical, content, schema, etc.) into one professional, client-facing deliverable. It calculates a weighted GEO Readiness Score and translates complex findings into non-technical, actionable business insights, helping business owners prioritize efforts for optimal AI search visibility.

Audit, validate, and enhance GEO structured data by detecting existing JSON-LD/microdata/RDFa, checking schema.org compliance, and generating ready-to-use JSON-LD to boost AI discoverability.

Performs a GEO-focused technical SEO audit covering crawlability, indexability, security, performance, SSR, and AI crawler access to keep both search engines and AI agents from losing visibility.

A comprehensive guide for defining, tracking, and interpreting product metrics across all stages—from discovery to maturity. This skill covers selecting metric frameworks (AARRR, HEART), defining stage-appropriate KPIs, designing multi-layered dashboards, and executing deep analyses like cohort and retention modeling. It helps teams transform raw data into actionable product strategies, moving beyond vanity metrics.

A structured methodology for de-risking product ideas and validating market opportunities. This framework guides teams through defining measurable outcomes, building Opportunity Solution Trees (OST), mapping critical assumptions (Desirability, Viability, Feasibility), and planning rigorous experiments (prototyping, interviews, usability tests) before committing to full development resources. Ideal for discovery sprints and pre-build validation.

Validates SKILL.md files against the agentskills specification and Anthropic best practices, catching structure, semantic, naming, and quality issues in a single read-only pass before publishing or debugging skills.

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.

Evaluates incoming requests, decides if specialized skills are needed, orchestrates optimal combinations, and logs successful pairings in agent-memory while guarding against overusing complex tools on simple tasks.

Documented best practices for building applications with Anthropic Claude via Python and TypeScript SDKs, covering messaging, streaming, tools, vision, reasoning, caching, batching, and Agent workflows to optimize prompts, tokens, and cost.

A comprehensive guide for building robust, production-grade desktop applications using Electron. This skill covers advanced topics including multi-process architecture, mandatory security hardening (contextIsolation, sandbox), secure IPC communication, and best practices for packaging, code signing, and implementing auto-update features.

A comprehensive skill for generating multimodal media content using fal.ai models. It supports text-to-image (Nano Banana), text/image-to-video (Veo, Kling, Seedance), and text/video-to-audio (CSM-1B, ThinkSound). Use this tool for any creative project requiring high-quality generated images, videos, or sound effects.

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