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Agent-Native Audit

Audit a codebase against agent-native architecture principles.

Audit a codebase to ensure it is agent-native: Traditional software: you write code that defines what happens. The computer executes your instructions. Agent-native: you define outcomes in natural language. The agent figures out how to achieve them using tools. This runs a scored audit across action parity, tools-as-primitives, context injection, shared workspace, CRUD completeness, UI integration, capability discovery, and prompt-native features.

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01

What changes

The shift you should expect once you use the craft.

Before

Without it

Teams bolt agent features onto products after the fact, with missing action parity, weak context injection, and fragile behavior that breaks outside the happy path.

Then

After

With it

Teams get a concrete architecture playbook for building products where agents can act reliably, share the same workspace as users, and improve through prompt-native design.

02

Install + use

The exact setup and first-run notes included with this craft.

Upload all files to your agent. Keep `SKILL.md` at the root and and all other files in `references/` foldea. Install it as a skill, then invoke it when designing a new agent-native product or refactoring an existing app toward agent-first architecture.

03

Download contents

17 items in the download.

  • README.md
  • SKILL.md
  • agent-execution-patterns.md
  • agent-native-testing.md
  • mobile-patterns.md
  • files-universal-interface.md
  • mcp-tool-design.md
  • from-primitives-to-domain-tools.md
  • action-parity-discipline.md
  • system-prompt-design.md
  • self-modification.md
  • refactoring-to-prompt-native.md
  • shared-workspace-architecture.md
  • dynamic-context-injection.md
  • product-implications.md
  • architecture-patterns.md
  • LICENSE

Download includes the MIT License sidecar for redistribution.

04

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