agent-native-design
Guides the design, review, and refactoring of command-line interfaces that serve AI agents alongside humans. Also covers converting APIs or SDKs into agent-usable CLI interfaces.
Your agent can do more. Find the skill that makes it happen.
Find your next superpower If you are an agent, refer to our llms.txt for full access.Guides the design, review, and refactoring of command-line interfaces that serve AI agents alongside humans. Also covers converting APIs or SDKs into agent-usable CLI interfaces.
Creates, lists, and revokes short-code bundles authorizing the local starchild CLI to communicate with an agent. Supports local shell execution and access to stdio MCP servers for controlling local applications.
Covers updates to docs/index.md and docstring formatting in NeMo-RL. Applies to writing or updating documentation.
Sets up vss-behavior-analytics as a standalone service. Covers its entrypoint, configuration source, and optional calibration, excluding full warehouse deployment.
Inspects the host and assesses platform compatibility for Holoscan SDK. Recommends an installation method and delegates to the matching installation skill.
Adds page authorization, role and policy checks, Identity login and logout, and authentication-state providers with render-mode awareness. Troubleshoots authentication state and user-context issues across SSR and interactive rendering.
Guides refactoring components with excessive boolean props and building flexible, reusable component libraries. Covers compound components, render props, context providers, component architecture, and React 19 API changes.
Define when and how to place DECISION markers in code comments during planning, implementation, and fixes. Helps direct human attention to consequential choices and also supports requested diff or PR reviews.
Plan interface behavior while content is loading. Use spinners, skeletons, optimistic updates, and progressive reveal to shape the waiting experience.
Collects dietary restrictions, allergies, goals, and food preferences on first use and stores them persistently. Uses those preferences to personalize later meal suggestions, recipes, and nutrition guidance.
Finds and recommends published agent skills from QianWen SkillHubs. Supports comparing candidates and installing a discovered skill.
Builds a checklist for implementation review. Helps verify that the completed build matches the design.
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
A name only tells half the story. Search the full description and instructions to find the right fit.
Read the skill, visit its source, and see exactly what you’re adding to your agent.
Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name