Skill UI

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.

This skill specializes in crafting multi-touch communication sequences (such as email nurture, onboarding flows, or sales funnels) based on behavioral psychology principles. It leverages key principles—including the curiosity gap, reciprocity, and gradual commitment—to guide users toward a desired outcome. It ensures each touchpoint builds upon the last, respecting the user's autonomy while creating a natural, progressive emotional arc for ethical and effective persuasion.

This skill applies principles of behavioral psychology and choice architecture to redesign user experience (UX) flows. It is used when a product's conversion friction is rooted in interaction design, not just copy. By auditing cognitive load, defining optimal default paths, and inserting strategic commitment points, it guides users toward desired actions ethically, maximizing commitment while preserving autonomy. Ideal for improving onboarding, checkout funnels, and complex decision-making sequences.

Generates structured CodeTour `.tour` files in JSON format for detailed, step-by-step code walkthroughs. This tool is essential for onboarding new engineers, conducting architectural reviews, or documenting complex PR changes. It provides a guided narrative that directs users to specific files and line anchors, ensuring a structured and focused learning journey.

This skill provides a robust system for tracking all code modifications using structured JSON records and enforcing a defined state machine (e.g., planned -> deployed). It is critical for AI coding workflows, ensuring that if a session expires or is abandoned, the next session receives the full context, progress summary, and blockers to resume seamlessly. Ideal for complex, multi-stage development projects and onboarding new codebases.

A conversational onboarding skill designed to deeply understand the user and define the core identity of an AI partner. Through adaptive, multi-phase dialogue, it extracts key behavioral traits, motivations, and relationship dynamics, culminating in the generation of a comprehensive SOUL.md file that governs the AI's personality and interaction style. Use this skill when setting up, personalizing, or updating your AI agent.

Guides HR coordinators through onboarding, announcements, and employee communications by orchestrating Gmail, Calendar, Drive, and Chat workflows—creating orientation events, uploading documents, announcing hires, and turning emails into tracked tasks.

Copilot Spaces allow users to consolidate and manage project-specific knowledge, including documentation, code snippets, architectural standards, and operational instructions. By loading a Space, Copilot grounds its responses not just on general knowledge, but on the curated, authoritative context of the entire project, enabling accurate Q&A, code generation, and workflow execution based on team standards. Ideal for onboarding, large-scale projects, and maintaining consistency.

This skill performs a comprehensive security audit of Model Context Protocol (MCP) server configurations found in .mcp.json files. It is designed to identify critical vulnerabilities, including hardcoded secrets (API keys, tokens), dangerous shell injection patterns, unpinned dependencies, and compliance issues regarding approved server lists. Use this skill during security reviews, project onboarding, or pre-commit checks to ensure secure deployment.

This skill provides an interactive, guided onboarding tour for the Context-Matic MCP server. It addresses the challenge of general AI models relying on outdated or incorrect public code by acting as a live, version-aware grounding layer. The tour walks users through the server's core function, demonstrates key tools (like fetching APIs, searching models, and finding endpoints), and guides them through selecting and exploring available APIs for their specific project language.

A comprehensive tool that analyzes existing codebases to generate detailed, definitive architectural blueprints. It automatically detects technology stacks, identifies architectural patterns (e.g., Microservices, Clean Architecture), and documents implementation details, including dependency flow, cross-cutting concerns (security, logging), and data models. This ensures architectural consistency, aids in onboarding new team members, and guides future development efforts.

This skill transforms a raw Python script into a polished, beginner-friendly project package. It automatically refactors the code to adhere to PEP 8 standards, adds comprehensive, instructional comments explaining the 'why' behind the logic, and generates a complete, professional `README.md` file. The resulting project is immediately ready for use in educational settings, portfolios, or for onboarding new developers.