Can I use this with any programming language?

Yes, it is language-agnostic. You can define any shell command (such as pytest, npm test, or go test) in the verification section to suit your project.

What is the primary file format used by this skill?

The skill uses standard Markdown checklist syntax (- [ ] for incomplete and - [x] for complete) within an IMPLEMENTATION_PLAN.md file to track progress.

How does it verify that a task is actually finished?

It reads verification commands from AGENTS.md and executes them; a task is only marked as complete if all commands return a success exit code (0).

What happens if a verification step fails?

The skill will identify the failure, allowing the agent to fix the code and re-run all verification commands before proceeding to the next task.

Does it require a specific agent to function?

While designed for agents like Ralph, it can be used by any Claude Code workflow that follows the structured implementation plan and AGENTS.md format.

Implementation Plan Manager

Name: Implementation Plan Manager
Author: tmdgusya

bytmdgusya

Productivity & Workflow

Manages structured task execution and verification using markdown implementation plans for AI agents.

About

The Implementation Plan skill enables Claude to follow a rigorous, structured approach to software development by parsing IMPLEMENTATION_PLAN.md checklists and executing verification commands defined in AGENTS.md. It automates the lifecycle of task identification, implementation, and multi-stage verification, ensuring that every code change passes predefined gates before proceeding. This is essential for persistent agents like Ralph that require high-reliability workflows and continuous execution patterns to complete complex, multi-step engineering tasks.

Key Features

Dynamic extraction and execution of verification commands from project files
Structured task status updates via automated checklist modification
Automated parsing of markdown checklists for real-time task tracking
0 GitHub stars
Continuous execution loops for persistent autonomous agent workflows
Pre-configured grep patterns for efficient status querying and reporting

Use Cases

Standardizing team-wide implementation patterns and verification requirements
Managing large-scale feature migrations with multiple trackable dependencies
Automating test-driven development loops within an autonomous AI workflow

About

Key Features

Dynamic extraction and execution of verification commands from project files
Structured task status updates via automated checklist modification
Automated parsing of markdown checklists for real-time task tracking
0 GitHub stars
Continuous execution loops for persistent autonomous agent workflows
Pre-configured grep patterns for efficient status querying and reporting

Use Cases

Standardizing team-wide implementation patterns and verification requirements
Managing large-scale feature migrations with multiple trackable dependencies
Automating test-driven development loops within an autonomous AI workflow