implement

Execute scout, inner loop, and outer loop phases to implement approved specs.

Updated Apr 21, 2026
One-click install
npx skills add https://github.com/mliudev/agent-workflows --skill implement-mliudev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: implement
Source: https://github.com/mliudev/agent-workflows/tree/main/skills/claude/implement
Command: npx skills add https://github.com/mliudev/agent-workflows --skill implement-mliudev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Autonomous implementation of approved specs to reduce back-and-forth and accelerate delivery.

Core Features & Use Cases

  • Scout, rolling inner loop, and outer loop phases orchestrate end-to-end feature implementation.
  • Evidence-driven validation, bounded task planning, and incremental delivery with per-slice reviews.
  • Automatic gating and reporting to ensure alignment with the QA plan.

Quick Start

Provide an approved spec and trigger the implement workflow to begin executing the next 1-3 tasks with evidence gathering.

Frequently Asked Questions about implement

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

FAQPage Schema
How do I autonomously implement an approved spec end-to-end?▼

Autonomous spec implementation is orchestrated through scout, rolling inner loop, and outer loop phases. This pipeline executes 1-3 task slices with evidence gathering and bounded subagent delegation to deliver features incrementally.

What is evidence-driven validation in autonomous feature implementation?▼

Evidence-driven validation enforces bounded ownership and requires verified proof before gating or release. It ensures each implemented task slice aligns with the QA plan through automatic gating and incremental per-slice reviews.

How do I plan task slices for approved feature specs with a QA plan?▼

Task slices are planned in bounded 1-3 task increments during the rolling inner loop phase. Each slice undergoes evidence gathering and per-slice reviews before proceeding to the next implementation segment.

Do I need a predefined QA plan to use autonomous spec implementation?▼

Yes, a predefined QA plan is required. The implementation pipeline applies to features with an approved spec and QA plan, using both to guide evidence-driven validation and generate a final verified report.

What is the best way to orchestrate an autonomous implementation pipeline?▼

The best way to orchestrate an implementation pipeline is using scout, rolling inner loop, and outer loop phases. This approach reduces back-and-forth by applying bounded subagent delegation and automatic gating for incremental delivery.

When should I not use autonomous spec implementation?▼

You should not use autonomous spec implementation for features lacking a defined spec or QA plan. The pipeline requires approved specifications and bounded task planning to enforce evidence-driven validation and generate verified reports.