plan-validate

Validate plan.json files for schema compliance and structural consistency.

102|10|Updated Mar 4, 2026
One-click install
npx skills add https://github.com/closedloop-ai/claude-plugins --skill plan-validate-closedloop-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: plan-validate
Source: https://github.com/closedloop-ai/claude-plugins/tree/main/plugins/code/skills/plan-validate
Command: npx skills add https://github.com/closedloop-ai/claude-plugins --skill plan-validate-closedloop-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the structural validation of plan.json files, significantly speeding up the development workflow by replacing manual checks and LLM calls for routine format verification.

Core Features & Use Cases

  • Deterministic Validation: Ensures plan.json adheres to all structural rules, schema requirements, and content consistency checks.
  • Early Error Detection: Catches formatting issues, missing fields, and sync discrepancies before they cause downstream problems.
  • Use Case: After generating a plan, use this Skill to instantly confirm its format is correct, allowing developers to proceed with confidence or immediately address identified issues.

Quick Start

Run the validation script for the current working directory.

Frequently Asked Questions about plan-validate

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

FAQPage Schema
How do I validate a plan.json file structure instantly?

You can validate a plan.json file structure instantly by running a deterministic validation script that checks JSON parsing, schema compliance, task checkbox formatting, and data synchronization between content and JSON arrays.

What does plan.json schema compliance validation check for?

Plan.json schema compliance validation checks for JSON parsing errors, required section presence, task checkbox formatting, and data synchronization discrepancies between content and JSON arrays.

Do I need LLM agents to validate plan.json formatting?

You do not need LLM agents to validate plan.json formatting because deterministic scripts can handle structural checks, schema requirements, and content consistency, leaving only semantic consistency for LLM agents.

How do I check data synchronization between plan.json arrays and content?

To check data synchronization between plan.json arrays and content, execute the validation script in your working directory to automatically detect discrepancies and confirm that JSON arrays match the associated content sections.

What is the best way to automate plan.json structural checks in a development workflow?

The best way to automate plan.json structural checks in a development workflow is using deterministic validation scripts to catch formatting issues, missing fields, and sync discrepancies before they cause downstream problems.

When should I not use deterministic scripts for plan.json validation?

You should not use deterministic scripts for plan.json validation when you need to evaluate semantic consistency, as scripts only handle structural rules, schema requirements, task checkbox formatting, and data synchronization.