Agent-Native Architecture

SkillFiles & storage

Design agent-native applications where agents replace UI users as the primary actor. Use when designing MCP tools, agent-loop architectures, system prompt design, hooks policy, shared-workspace file patterns, or self-modifying agent systems.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Agent-Native Architecture skill

What this skill tells your AI

The instructions your AI receives, as published by iliaal/ai-skills in skills/agent-native-architecture/SKILL.md and read by ahel’s review.

Working rules

  • Keep authority, scope, approval, and runtime isolation in trusted orchestration; prompts alone cannot enforce them.
  • Provide explicit completion and partial-progress signals, durable state, and observable action results.
  • Validate capabilities with real tasks, including failure and interruption paths; do not infer improvement from elapsed usage.
  • Use the selected topic's references and the architecture checklist to produce a concrete design with evidence and unresolved constraints.

Core Principles

Five principles govern agent-native design. For detailed explanations, examples, and test criteria, see core-principles.md.

PrincipleOne-line test
ParityCan the agent achieve every outcome the UI allows?
GranularityChanging behavior means editing prose, not refactoring code
ComposabilityCan a feature be added by writing a new prompt, without new code?
Emergent CapabilityCan the agent handle open-ended requests it wasn't designed for?
Improvement Over TimeDoes the app work better after a month, even without code changes?

Focus Area Selection

  1. Design architecture - Plan a new agent-native system from scratch
  2. Files & workspace - Use files as the universal interface, shared workspace patterns
  3. Tool design - Build primitive tools, dynamic capability discovery, CRUD completeness
  4. Domain tools - Know when to add domain tools vs stay with primitives
  5. Execution patterns - Completion signals, partial completion, context limits
  6. System prompts - Define agent behavior in prompts, judgment criteria
  7. Context injection - Inject runtime app state into agent prompts
  8. Action parity - Ensure agents can do everything users can do
  9. Self-modification - Enable agents to safely evolve themselves
  10. Product design - Progressive disclosure, latent demand, approval patterns
  11. Mobile patterns - iOS storage, background execution, checkpoint/resume
  12. Testing - Test agent-native apps for capability and parity
  13. Refactoring - Make existing code more agent-native
  14. Anti-patterns - Common mistakes and how to avoid them
  15. Success criteria - Verify your architecture is agent-native
  16. Hooks patterns - Hook events, decision control, MCP matchers, async hooks

Wait for response before proceeding.

Reference Routing

ResponseAction
1, "design", "architecture", "plan"Read architecture-patterns.md, then apply architecture-review-checklist.md
2, "files", "workspace", "filesystem"Read files-universal-interface.md and shared-workspace-architecture.md
3, "tool", "mcp", "primitive", "crud"Read mcp-tool-design.md
4, "domain tool", "when to add"Read from-primitives-to-domain-tools.md
5, "execution", "completion", "loop"Read agent-execution-patterns.md
6, "prompt", "system prompt", "behavior"Read system-prompt-design.md
7, "context", "inject", "runtime", "dynamic"Read dynamic-context-injection.md
8, "parity", "ui action", "capability map"Read action-parity-discipline.md
9, "self-modify", "evolve", "git"Read self-modification.md
10, "product", "progressive", "approval", "latent demand"Read product-implications.md
11, "mobile", "ios", "android", "background", "checkpoint"Read mobile-patterns.md
11a, "icloud", "storage", "documents", "file state", "entitlement"Read mobile-storage.md
11b, "background task", "battery", "on-device", "cloud routing"Read mobile-execution.md
11c, "model tier", "token budget", "cost-aware", "batch", "caching"Read mobile-cost.md
12, "test", "testing", "verify", "validate"Read agent-native-testing.md
13, "review", "refactor", "existing"Read refactoring-to-prompt-native.md
14, "anti-pattern", "mistake", "wrong"Read anti-patterns.md
15, "success", "criteria", "verify", "checklist"Read success-criteria.md
16, "hook", "hooks", "PreToolUse", "decision control", "async hook", "permissionDecision"Read hooks-patterns.md
0, "quick start", "getting started", "overview", "introduction"Read quick-start.md

After reading the reference, apply those patterns to the user's specific context.

Task-specific references

Read the relevant reference before implementing or reviewing the matching behavior:

Existing specialized references, when the corresponding topic applies:

Signals

GitHub stars
41
Forks
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Last commit
Sep 2026
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Catalog kind
skill
Gateway key
agent-native-architecture
Source
github.com/iliaal/ai-skills