jit-parallel

Orchestrate concurrent execution of independent JIT issues using sub-agents.

Updated Nov 26, 2025
One-click install
npx skills add https://github.com/erankavija/just-in-time --skill jit-parallel
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: jit-parallel
Source: https://github.com/erankavija/just-in-time/tree/main/.claude/skills/jit-parallel
Command: npx skills add https://github.com/erankavija/just-in-time --skill jit-parallel

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The jit-parallel skill solves the problem of managing complex workflows involving multiple AI agents by enabling the concurrent execution of independent JIT issues.

Core Features & Use Cases

  • Concurrent Issue Execution: Run several independent JIT issues in parallel using sub-agents.
  • Pre-flight Analysis: Assess and validate issues before dispatching agents to ensure file overlap and dependency resolution.
  • Agent Dispatch: Send tasks to agents based on issue type and complexity, such as implementation, planning, or review.
  • Post-flight Verification: Verify the work done by agents and integrate results.
  • Worktree-based Parallelism: Use git worktrees for running 4+ concurrent agents or when issues have unavoidable file overlap.

Quick Start

To dispatch parallel execution of JIT issues, run the command: mcp__jit__jit_issue_show <issue-id> and follow the instructions provided in the skill documentation.

Frequently Asked Questions about jit-parallel

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

FAQPage Schema
How do I execute multiple independent JIT issues in parallel using sub-agents?

JIT parallel issue execution uses sub-agents to run independent tasks concurrently. The workflow performs pre-flight analysis to resolve file overlaps and dependencies, dispatches agents based on issue type, and verifies results post-flight.

What is the best way to handle file overlap when running concurrent AI agent workflows?

Git worktree-based parallelism handles unavoidable file overlap during concurrent AI agent workflows. It isolates changes across worktrees, preventing conflicts when running four or more concurrent sub-agents on intersecting files.

Do I need access to the JIT repository and its MCP tools for parallel issue management?

Yes, managing parallel JIT issues requires JIT repository access and its MCP tools. These tools manage issue lifecycles, validate dependencies during pre-flight analysis, and integrate agent results during post-flight verification.

How does pre-flight analysis validate issues before dispatching AI agents?

Pre-flight analysis assesses JIT issues before agent dispatch by evaluating file overlap and resolving dependencies. This validation ensures independent issues can execute concurrently without integration conflicts.

Can I use post-flight verification to integrate results from concurrent execution of multiple issues?

Post-flight verification validates agent work and integrates results after concurrent execution of multiple JIT issues. This step confirms successful parallel processing, verifies completed tasks, and merges outputs into the repository.

When should I avoid parallel processing of JIT issues?

Avoid parallel processing of JIT issues when tasks have heavy file dependencies that cannot be resolved through pre-flight analysis or isolated using git worktrees. Highly interdependent issues require sequential execution to prevent integration conflicts.