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implement

Coordinate specialized AI agents through deterministic OpenSpec lifecycle phases.

9|2|Updated Mar 12, 2026
Search Tags:#documentation#conflict-resolution#openspec#workflow-automation#implement#ai-agents#github-issues
One-click install
npx skills add https://github.com/fjpulidop/specrails-core --skill implement-fjpulidop
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: implement
Source: https://github.com/fjpulidop/specrails-core/tree/main/specrails-plugin/skills/implement
Command: npx skills add https://github.com/fjpulidop/specrails-core --skill implement-fjpulidop

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

sr:implement facilitates a full OpenSpec lifecycle by coordinating specialized AI agents to design, implement, review, and document feature work, reducing manual coordination and handoffs.

Core Features & Use Cases

  • Orchestrates end-to-end OpenSpec pipelines including architect design, developer implementation, reviewer validation, and documentation synchronization.
  • Supports GitHub Issues or internal backlog items, handling milestone planning, task decomposition, and automated artifact generation for traceability.
  • Provides deterministic phases, state tracking, conflict checks, and artifacts in openspec/changes for auditability.

Quick Start

Describe a backlog item and run /specrails:implement to launch the end-to-end OpenSpec lifecycle.

Frequently Asked Questions about implement

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

FAQPage Schema
How do I automate the OpenSpec lifecycle from design to merge using AI agents?▼

You can automate the OpenSpec lifecycle by orchestrating specialized AI agents that handle architectural design, implementation, review, and documentation synchronization across GitHub Issues. The workflow enforces deterministic multi-phase execution with explicit handoffs, persistent state tracking, and automated artifact generation.

What is the best way to coordinate feature implementation and conflict resolution in a GitHub Issues backlog?▼

Coordinating feature implementation via GitHub Issues is handled by applying a deterministic multi-phase workflow that decomposes backlog items into milestones. It provides built-in conflict detection during merges and rollback support to ensure safe synchronization of feature work.

Can I use automated workflow agents to generate documentation and traceability artifacts for OpenSpec changes?▼

Automated workflow agents generate documentation and traceability artifacts natively by storing outputs in openspec/changes. This provides full auditability for architectural designs, developer implementations, and reviewer validations throughout the feature lifecycle.

How does an AI agent workflow handle phase transitions and state tracking during feature development?▼

An AI agent workflow handles phase transitions through explicit handoffs between architect, developer, and reviewer roles. It maintains persistent state tracking throughout exploration, prioritization, implementation, testing, and merging to ensure deterministic progression.

Do I need GitHub Issues to run end-to-end OpenSpec pipelines, or can I use internal backlog items?▼

You do not strictly need GitHub Issues to run OpenSpec pipelines. The workflow supports both GitHub Issues and internal backlog items for milestone planning, task decomposition, and automated artifact generation, adapting the same deterministic lifecycle to either input source.

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