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agent-native-reviewer

Reviews UI actions and agent tools for parity and accessibility.

Updated Jun 28, 2022
Search Tags:#developer tools#code review#system prompt#agent capabilities#parity#agent-native
One-click install
npx skills add https://github.com/pcasaretto/nix-home --skill agent-native-reviewer-pcasaretto
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-native-reviewer
Source: https://github.com/pcasaretto/nix-home/tree/main/home-manager/modules/common/pi/compound-engineering/skills/agent-native-reviewer
Command: npx skills add https://github.com/pcasaretto/nix-home --skill agent-native-reviewer-pcasaretto

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill ensures that any action a user can perform within an application is also accessible to an AI agent, promoting true agent-native parity and preventing features from being UI-exclusive.

Core Features & Use Cases

  • Action Parity Verification: Checks if UI actions have corresponding agent tools.
  • Context Parity Analysis: Verifies agents receive the same data as users.
  • Tool Design Review: Assesses if agent tools are primitives rather than complex workflows.
  • Use Case: After adding a new "export report" button in the UI, use this Skill to confirm that an agent can also trigger an export action via a tool, ensuring consistency and agent utility.

Quick Start

Use the agent-native-reviewer to check if the new user profile editing feature is accessible to agents.

Frequently Asked Questions about agent-native-reviewer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is agent-native parity and why does it matter for application design?▼

Agent-native parity guarantees that any UI action available to users also has a corresponding agent tool. It prevents features from being UI-exclusive, ensuring AI agents can fully interact with the application.

How do I check if my agent tools have the same data context as the user interface?▼

You verify context parity by analyzing UI actions, agent tools, system prompts, and data context together. This confirms agents receive the same data as users and identifies accessibility discrepancies.

How do I review code to ensure new UI features are accessible to AI agents?▼

Review code by analyzing action parity, context parity, shared workspace usage, primitives over workflows, and dynamic context injection. This confirms new UI features have matching agent tools and data access.

Should agent tools be designed as complex workflows or basic primitives?▼

Agent tools should be designed as primitives rather than complex workflows. This approach ensures agents can dynamically combine basic actions to replicate user-level capabilities flexibly.

When should I enforce agent-native principles during development?▼

Enforce agent-native principles immediately after adding new UI capabilities like an export button. This ensures new features have corresponding agent tools, maintaining strict action and context parity.

What limitations exist when verifying action parity between users and agents?▼

Limitations occur when UI actions lack corresponding agent tools or when system prompts fail to inject necessary data context dynamically. Rectifying these requires analyzing shared workspace usage and ensuring primitives over workflows.

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