Structured Autonomy Implement

An AI skill that implements features within structured autonomy boundaries, writing code that respects predefined architectural constraints, follows established patterns, and stays within scope while documenting any deviations or assumptions.

What Is This?

Overview

This skill takes a feature specification and implements it within a predefined structural framework. It respects module boundaries, follows the project's established patterns, uses approved dependencies, and stays within the assigned scope. When implementation requires decisions not covered by existing guidelines, the skill documents assumptions clearly rather than making silent choices. The result is production ready code that fits seamlessly into the existing codebase.

Who Should Use This

Built for development teams using structured workflows where AI assistants operate within defined guardrails. Ideal for organizations with established architecture patterns and projects where code consistency across contributors is a priority.

Why Use It?

Problems It Solves

Unconstrained AI code generation often produces technically correct but architecturally inconsistent code. It may choose different patterns than the rest of the codebase, introduce unauthorized dependencies, or make scope decisions that were not requested. This forces developers to spend time conforming generated code to project standards.

Core Highlights

• Boundary Respect implements within defined module and layer constraints
• Pattern Conformity follows established coding patterns in the existing codebase
• Scope Discipline implements only what was requested without adding extras
• Assumption Logging documents any decisions made during implementation
• Dependency Compliance uses only approved libraries and frameworks

How to Use It?

Basic Usage

Provide a feature specification and the skill implements it within project constraints.

from services.notification_service import NotificationService
from repositories.order_repository import OrderRepository

class OrderCompletionNotifier:
    """Sends email when an order is marked complete.
    
    [Assumption] Using plain text email since template 
    system is not yet available in NotificationService.
    """
    def __init__(self, notifications: NotificationService, orders: OrderRepository):
        self.notifications = notifications
        self.orders = orders

    def notify(self, order_id: str) -> None:
        order = self.orders.find_by_id(order_id)
        self.notifications.send_email(
            to=order.customer_email,
            subject=f"Order {order.id} Complete",
            body=f"Your order has been shipped.",
        )

Real-World Examples

Adding Search to an Existing API

A team needed to add product search to their e-commerce API. The structured autonomy implementation skill analyzed the existing controller, service, and repository patterns, then generated a search feature that matched the exact conventions used by existing endpoints.

// Implemented following existing patterns in src/services/
// [Pattern Match] Using the same ServiceResult<T> return type
// [Dependency] Using existing SearchIndex from approved packages

import { ServiceResult } from "../types/service-result";
import { ProductRepository } from "../repositories/product-repository";

export class ProductSearchService {
  constructor(private readonly productRepo: ProductRepository) {}

  async search(query: string, page: number = 1): Promise<ServiceResult<Product[]>> {
    const results = await this.productRepo.search(query, {
      limit: 20,
      offset: (page - 1) * 20,
    });
    return { data: results, error: null };
  }
}

Advanced Tips

Provide a brief architecture guide when requesting implementation. The more context about established conventions, the better the implementation will conform. Review assumption logs carefully as they reveal gaps in your architecture documentation.

When to Use It?

Use Cases

• Feature Implementation add functionality that follows existing codebase patterns
• Bug Fixes resolve issues while maintaining structural consistency
• API Endpoints implement new routes matching established conventions
• Data Layer Extensions add repositories and models following existing patterns
• Integration Points connect new services using approved communication patterns

Related Topics

When working with structured implementation, these prompts activate the skill:

• "Implement this feature following our patterns"
• "Add this endpoint matching existing conventions"
• "Build this service within the defined boundaries"
• "Implement with structured autonomy constraints"

Important Notes

Requirements

• Works best with codebases that have documented or observable patterns
• Benefits from architecture decision records or convention guides
• Requires clear feature specifications describing scope and constraints
• Existing code examples help the skill match project conventions

Usage Recommendations

Do:

• Provide clear scope boundaries so the implementation stays focused
• Reference existing pattern examples for the skill to follow
• Review assumption logs to identify undocumented architectural gaps
• Test generated implementations against your existing test suite

Don't:

• Expect implementation beyond stated scope as the skill respects boundaries
• Skip reviewing generated code even when it follows patterns correctly
• Ignore documented assumptions since they highlight areas needing team decisions
• Override boundary constraints without updating the architecture guide

Limitations

• Cannot implement features that require patterns not yet established in the codebase
• Complex business logic still requires human review for domain correctness
• Assumption quality depends on how well existing patterns are documented
• May produce overly conservative implementations when constraints are very strict