kild-wave-planner

Plan parallel AI development waves with conflict and dependency assessments.

65|19|Updated Jan 7, 2026
One-click install
npx skills add https://github.com/Wirasm/kild --skill kild-wave-planner
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kild-wave-planner
Source: https://github.com/Wirasm/kild/tree/main/.claude/skills/kild-wave-planner
Command: npx skills add https://github.com/Wirasm/kild --skill kild-wave-planner

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill enables teams to efficiently plan and coordinate parallel work sessions for AI development by analyzing current issues and system states.

Core Features & Use Cases

  • Wave Planning: Analyzes issue backlog, active sessions, and project constraints to recommend optimal parallel work batches.
  • Structured Recommendations: Generates detailed wave briefs including issue prioritization, conflict assessments, and dependency tracking.
  • Use Case: When managing multiple AI development tasks, it suggests the ideal subset of issues to tackle simultaneously, reducing conflicts and maximizing productivity.

Quick Start

Command the AI to generate a wave plan based on current project issues and system status.

Frequently Asked Questions about kild-wave-planner

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

FAQPage Schema
How do I plan parallel AI development tasks without causing code conflicts?

Parallel AI development wave planning analyzes issue backlog and repository state to recommend optimal task batches, minimizing conflicts and managing dependencies. It evaluates issue overlaps and priority levels to ensure safe wave formation.

What is wave planning in AI project coordination?

Wave planning in AI project coordination is the process of organizing parallel development tasks into optimal batches. It analyzes live issue data, active sessions, and project constraints to maximize productivity and reduce codebase conflicts.

How do I assess dependency overlaps for concurrent AI development sessions?

To assess dependency overlaps for concurrent AI development sessions, structured conflict assessment evaluates live issue data and repository state. It generates detailed wave briefs tracking dependencies and prioritizing issues to prevent codebase collisions.

Does wave planning work for complex codebases with high issue volumes?

Wave planning is designed for complex codebases with high issue volumes. It optimizes resource allocation by evaluating issue overlaps and priority levels, ensuring that parallel AI development waves are formed safely without causing system conflicts.

What's the best way to allocate resources for parallel AI coding tasks?

The best way to allocate resources for parallel AI coding tasks is generating structured wave briefs based on current project issues and system status. This approach tracks dependencies and provides conflict assessments for optimized resource distribution.

Why do my parallel AI development tasks keep conflicting in the same codebase?

Parallel AI development tasks conflict when issue overlaps and dependencies are not evaluated before execution. Wave planning analyzes live repository state and issue priorities to recommend safe parallel batches, preventing codebase collisions.