Skill UI

This skill guides the user through a structured process of requirement clarification before any development work begins. It ensures that all key details—including objectives, scope, constraints, and acceptance criteria—are explicitly defined. It prevents costly rework by forcing a pause and systematically identifying 'must-have' missing information.

This infrastructure provides a robust solution for running powerful AI agents in remote, sandboxed environments. It overcomes the limitations of local execution by ensuring unlimited concurrency, consistent environments, and collaborative features. Use this to build complex background coding agents, multi-client interfaces (e.g., Slack, Web), or scale agent workloads far beyond local machine constraints.

This skill manages the strategic distribution of a single core idea across various social media platforms, including X, LinkedIn, Threads, and Bluesky. Instead of simply cross-posting the same content, it uses advanced content adaptation techniques to adjust the tone, format, and focus for each specific platform. This ensures the message remains consistent while optimizing for native platform constraints, preventing duplication and maximizing engagement.

Generates, validates, and ranks publishable research ideas from a broad direction. Surveys the landscape, brainstorms concepts, runs novelty checks, and pilots top candidates within GPU budget constraints.

This skill orchestrates a complete automated pipeline for discovering research ideas. It chains literature review, brainstorming, novelty checks, and pilot testing with GPU constraints to produce validated concepts and experiment plans.

This skill automates the discovery of robotics research ideas by orchestrating a literature survey, idea generation, novelty check, and critical review workflow. It focuses on embodied AI, sim2real, and benchmark-grounded concepts for manipulation, locomotion, and navigation. The pipeline ensures ideas are feasible, falsifiable, and aligned with robotics constraints like simulation-first approaches and hardware availability.

Learn how to implement and manage Google Cloud Platform (GCP) Organization Policy constraints using gcloud and Terraform. This guide covers enforcing critical security guardrails at the organization, folder, or project level, such as restricting external IP addresses, defining allowed resource locations, and disabling sensitive services. It is essential for achieving strong compliance and hardening cloud security architecture.

This guide details the deployment and usage of OPA Gatekeeper, a powerful Kubernetes admission controller. Gatekeeper enforces custom policies written in Rego using ConstraintTemplates and Constraints. It validates, mutates, or denies resource requests at admission time, ensuring that non-compliant workloads are blocked before scheduling. Ideal for organizations requiring robust, code-based policy enforcement to meet strict security and compliance standards.

Guides calling Feishu IM APIs to retrieve chat histories, thread replies, cross-chat searches, and media/file downloads while handling pagination, time filters, and permission constraints so agents can answer questions about past conversations.

This skill acts as a Visual Psychologist and Environmental Researcher, guiding the systematic mapping of visual elements—including color, typography, spacing, and imagery—to desired emotional states and conversion goals. It ensures that design decisions are strategic, supporting persuasion and brand narrative rather than merely being decorative. Use it when you need visuals to evoke a specific feeling (e.g., trust, urgency, calm) for a defined target audience, while respecting cultural and accessibility constraints.

This skill focuses on recording technical decisions and documentation within software projects. It covers creating Architecture Decision Records (ADRs) to explain the reasoning behind design choices, API changes, and feature implementations. It also guides on writing effective inline comments and API documentation to ensure future engineers and agents understand the codebase context, constraints, and trade-offs.

Provides solutions for common Flutter runtime and layout errors, including RenderFlex overflow, unbounded constraints, unbounded width, setState during build, ScrollController conflicts, and RenderBox layout issues. Includes debugging tips and constraint fixes for developers.