Skill UI

This catalog provides fundamental abstractions for integrating and managing a structured GraphQL playground within an administrative panel. It includes essential components like client factories and tab registries, allowing developers to easily access and interact with complex GraphQL APIs in a standardized, scalable manner.

A robust utility for generating, summarizing, or rewriting Headless CMS entry content programmatically. Instead of calling an LLM directly, this skill delegates the process to the user's configured AI Power Ups, allowing the use of saved Writers/Readers Personas and Projects. Ideal for implementing bulk actions, lifecycle hooks, or custom mutations, ensuring secure content creation without needing to hardcode API keys or prompts.

This catalog provides pre-built abstractions for integrating advanced AI capabilities (AI Powerups) into application workflows, particularly within Content Management Systems (CMS). It allows developers to easily access and implement specific AI use cases, such as content generation, by importing defined interfaces.

This utility facilitates the formal closeout of a launched AI agent. It performs three critical functions: 1) inventories all built primitives (memory, environment, deployment); 2) regenerates a clean, single-file overview page for sharing; and 3) suggests the next 1-2 most impactful upgrades or hardening steps, providing a clear roadmap for the founder.

Create GitHub pull requests with issue-first validation, exact type labels, and required CI checks. Ensures every PR links an approved issue, follows branch naming conventions, and respects human ownership of merge decisions.

This skill guides the creation of technical documentation (such as RFCs, READMEs, PR descriptions, and architecture guides) that minimizes the mental effort required for the reader. It emphasizes structural patterns like 'Lead with the answer,' 'Chunking,' and 'Progressive disclosure' to ensure content is scannable, actionable, and easy to review, significantly reducing cognitive load for maintainers and contributors.

This specialized sub-agent is responsible for transforming high-level feature proposals and technical specifications into a formal, comprehensive 'design.md' document. It systematically captures all necessary technical details, including architectural decisions, data flow diagrams, detailed file changes, API contracts, and thorough testing strategies. Use this skill during the planning phase of any complex software change to ensure technical completeness and feasibility.

This agent is dedicated to systematically exploring technical ideas, such as new features, refactoring, or bug fixes, *before* committing to code changes. It investigates the existing codebase, analyzes current architecture, compares multiple potential approaches (including pros, cons, and effort), and generates a structured 'exploration' report with a clear recommendation and identified risks. It ensures thorough planning and risk mitigation during the design phase.

This sub-agent is specialized in generating precise delta specifications (delta specs). It analyzes a given proposal to identify added, modified, or removed system behaviors, creating structured requirements and scenarios to document the proposed changes accurately. It follows defined conventions for persistence across various artifact storage modes (Engram, OpenSpec, Hybrid).

This sophisticated sub-agent takes comprehensive Software Design Documents (SDD), proposals, and specifications to generate a detailed, actionable task breakdown in the format of a tasks.md file. It structures the work into distinct phases (e.g., Foundation, Core Implementation, Testing, Cleanup), providing concrete, verifiable, and small units of work suitable for immediate engineering execution and managing complex feature delivery chains.

Implement Roblox physical simulation and queries with assemblies, anchoring, constraints, collision groups, raycasts, overlap queries, impulses, forces, network ownership, and physics cleanup for collisions, hit detection, projectiles, vehicles, and knockback.

A deterministic method for placing signature, date, and text fields in a web e-signature composer via browser automation. It uses fixed signature pages and numeric coordinates instead of drag-and-drop. This skill ensures repeatable field positions, correct recipient ownership, and security gates before sending. Ideal for automating envelope preparation for generated agreements when API access is unavailable.