opi-implement

Automate coding agent task implementation with multi-phase workflows and JSON-ledger verification.

5|2|Updated May 19, 2026
One-click install
npx skills add https://github.com/OdradekAI/opi --skill opi-implement
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: opi-implement
Source: https://github.com/OdradekAI/opi/tree/main/.claude/skills/opi-implement
Command: npx skills add https://github.com/OdradekAI/opi --skill opi-implement

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of implementing and managing coding agent tasks, reducing manual work and ensuring consistency in the development process.

Core Features & Use Cases

  • Automated Task Management: Execute, manage, and track the implementation status of coding agent tasks.
  • Verification and Progress Monitoring: Ensure the correctness of task implementations through tiered verification and JSON-ledger checkpointing.
  • Use Case: Suppose you have a list of coding agent tasks to implement. Use this Skill to manage the tasks, ensure they are implemented correctly, and track their progress.

Quick Start

Run the command 'opi-implement' to automatically pick and execute the next unblocked task.

Frequently Asked Questions about opi-implement

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

FAQPage Schema
How do I automate coding agent task management for a development workflow?

Automating coding agent task management requires a multi-phase workflow tool that executes, tracks, and verifies implementation tasks. You need a detailed spec file for task definition and a JSON ledger to track progress and ensure completion quality.

What is the best way to verify coding agent implementations systematically?

Verifying coding agent implementations systematically requires tiered verification combined with JSON-ledger checkpointing. This approach tracks implementation status at each phase, ensuring correctness through iterative improvement and comprehensive checks before marking tasks complete.

How do I track progress when implementing multiple coding agent tasks?

Tracking progress for coding agent tasks uses a JSON ledger for checkpointing and verification. You define tasks in a spec file, then run an automated command to pick and execute the next unblocked task while the ledger records the status.

Do I need a spec file to start automating coding agent implementation?

Yes, a detailed spec file for task definition is required to start automating coding agent implementation. The spec file provides the necessary task definitions that the multi-phase workflow uses to execute, manage, and verify each coding task.

Can I use automated task management for iterative debugging of coding agents?

Yes, automated task management applies to development workflows requiring systematic debugging and iterative improvement. The multi-phase workflow handles execution and verification, applying tiered checks to ensure coding agent implementations are debugged correctly.

Why does coding agent task automation require a ledger for verification?

Coding agent task automation requires a ledger for robust tracking and verification across a multi-phase workflow. The JSON-ledger checkpointing ensures that each implementation phase is recorded, enabling accurate progress monitoring and tiered verification of task completion.