implement

Execute work item plans by orchestrating AI agents and capturing architectural findings.

11|Updated Feb 6, 2026
One-click install
npx skills add https://github.com/anticorrelator/lore --skill implement-anticorrelator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: implement
Source: https://github.com/anticorrelator/lore/tree/main/skills/implement
Command: npx skills add https://github.com/anticorrelator/lore --skill implement-anticorrelator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the execution of complex software development tasks by orchestrating AI agents, ensuring that specifications are translated into working code and architectural insights are captured.

Core Features & Use Cases

  • Automated Task Execution: Spawns AI worker agents to complete tasks defined in a work item's plan.
  • Knowledge Integration: Workers leverage existing knowledge and capture new findings during implementation.
  • Progress Tracking: Monitors task completion, handles blockers, and reconciles progress with the original plan.
  • Use Case: Kick off the implementation of a new feature by providing a detailed spec; the skill will manage the AI team to write the code, run tests, and report findings.

Quick Start

Use the implement skill to execute the plan for the work item named 'refactor-user-auth'.

Frequently Asked Questions about implement

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

FAQPage Schema
How do I automate spec execution for software development tasks?

Automated spec execution is handled by spawning a team of AI agents that translate detailed work item plans into working code, run tests, and report architectural findings.

How does AI agent orchestration work for implementing new features?

AI agent orchestration works by spawning worker agents to complete plan-defined tasks, monitoring progress, handling blockers, and reconciling output with the original work item specification.

Can I resume task execution if an implementation was interrupted?

Resuming task execution is supported natively; the skill handles both new and resumed implementations with robust error handling and progress reconciliation against the original plan.

How is architectural knowledge captured during AI task execution?

Architectural knowledge is captured during task execution by extracting new findings post-implementation and ensuring workers leverage existing knowledge while writing code.

Do I need a detailed plan before starting automated code implementation?

A detailed work item plan is required before starting, as the skill uses the plan to manage task creation, spawn agents, track progress, and ensure accurate spec execution.