Skill UI

This skill acts as a Consumer Psychologist and Persuasion Scientist, engineering copy that goes beyond mere writing. It applies evidence-based psychological mechanisms (like addressing awareness stages, JTBD, and emotional triggers) to create highly persuasive content. Use it when your marketing copy feels generic, needs stronger emotional hooks, or requires guiding the user through a specific behavioral sequence to achieve a desired action.

This skill functions as a Narrative Psychologist, mapping and engineering the full emotional journey a customer must take across any content format (e.g., landing pages, email sequences, sales decks). It systematically designs the emotional progression—from the initial state (e.g., skepticism or anxiety) through controlled tension, relief, and anticipation—to the precise emotional state required for a desired action, ensuring the narrative flow is believable and persuasive.

This skill analyzes accumulated usage logs from a complex research harness (ARIS) to propose structural optimizations. It identifies areas for improvement in SKILL scripts, default parameters, workflow ordering, and reviewer prompts. It is designed to automate the meta-level engineering process, ensuring that system efficiency is continuously improved based on real-world usage data.

This skill applies principles of behavioral psychology to redesign user onboarding flows. Instead of simple feature tours, it focuses on engineering the first-use experience to achieve 'early wins,' build competence, establish ownership, and trigger habit formation. Use it when the goal is to reduce user friction, combat early drop-off, and shift the user's self-perception from an outsider to an active participant.

As a Cognitive Psychologist, this skill specializes in engineering email subject lines and notification copy that maximize open rates. It applies principles of behavioral psychology, such as the curiosity gap, self-referential processing, and pattern interruption, to create highly engaging and relevant communication triggers. Use this when you need to optimize messaging for specific audience psychographics, sequence stages, and desired emotional responses (e.g., urgency, relevance, curiosity), ensuring the subject line builds genuine interest rather than false hype.

Context Engineering Protocol optimizes agent sessions by curating persistent rules, specs, source files, and feedback so outputs stay focused, accurate, and aligned with conventions whenever you start work or the quality drops.

Guides engineering teams through planning and executing deprecation, migration, and removal of legacy systems, ensuring replacements, tooling, and communication keep users safe.

A comprehensive guide for building production-quality, highly accessible, and responsive user interfaces. Covers advanced topics including component architecture (composition over configuration), robust state management patterns (Context, Redux, Server State), adherence to design systems, and meeting WCAG accessibility standards. Use this skill when developing or refining complex user-facing components that require professional polish and maintainability.

This skill provides comprehensive observability tooling for Go services, covering the five essential signals: structured logging (slog), Prometheus metrics, OpenTelemetry tracing, continuous profiling, and RUM. Use it for proactive production monitoring, correlating logs with traces, setting up SLOs, and ensuring all new features are fully instrumented for robust diagnosis.

This meta-skill set provides a structured framework covering the entire software development lifecycle (SDLC). It guides developers through every phase, from initial concept refinement and requirement specification to incremental implementation, testing, code review, and deployment. It enforces critical professional behaviors like surfacing assumptions, managing ambiguity, and maintaining scope discipline to ensure high-quality, robust engineering outcomes.

This skill provides comprehensive capabilities for managing the entire issue lifecycle on GitHub. Users can create structured bug reports, feature requests, and tasks, and also read, list, and update existing issues. It supports setting labels, assigning owners, managing milestones, and tracking complex dependencies. Ideal for engineering teams needing robust project backlog management.

Conducts comprehensive AI prompt safety reviews that analyze bias, misinformation, injection, and privacy risks while delivering effectiveness evaluations, security guidance, and best-practice recommendations for prompt engineers.