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erankavija
erankavijaCOMMUNITY
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jit-manage

Manage JIT issue lifecycle with automated gates and dependency tracking.

Updated Nov 26, 2025
Search Tags:#project management#quality control#dependency management#issue tracker#AI workflows
One-click install
npx skills add https://github.com/erankavija/just-in-time --skill jit-manage
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: jit-manage
Source: https://github.com/erankavija/just-in-time/tree/main/.claude/skills/jit-manage
Command: npx skills add https://github.com/erankavija/just-in-time --skill jit-manage

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires jit-cli, jit-mcp, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The Skill solves the challenge of coordinating AI agents in complex projects, streamlining the management of workflows, quality control, and project planning.

Core Features & Use Cases

  • Full Lifecycle Management: Orchestrate issue lifecycle from creation to completion with quality gates and status tracking.
  • Automated Checkpoints: Set up automated and manual checkpoints to enforce quality control and track progress.
  • Orchestration Views: Gain compact status projections and state aggregations to monitor project health.
  • Document Lifecycle: Link design documents, session notes, and context to issues for easy access and archival.
  • Git Integration: Store issue data as plain files, versioned with git for easy management and version control.
  • Use Case: A software development project where a lead agent coordinates a team of AI agents to work on various tasks. The Skill manages issue creation, dependencies, and completion to ensure a smooth workflow.

Quick Start

Start a work session using the jit-manage skill.

Frequently Asked Questions about jit-manage

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

FAQPage Schema
How do I coordinate AI agents for project management and issue tracking?▼

You can coordinate AI agents by managing the full issue lifecycle from creation to completion using the JIT issue tracker, which handles claiming, planning, execution, and automated quality gates.

What is the best way to track dependencies and quality control for AI workflows?▼

Tracking dependencies and quality control for AI workflows involves setting up automated and manual checkpoints to enforce quality gates, monitor progress, and track project health through orchestration views.

Do I need the JIT CLI or MCP tools to manage project workflows?▼

Yes, managing JIT issues requires either the JIT CLI or JIT MCP tools to operate, and the system functions within a designated .jit/ directory to handle issue tracking and workflow execution.

Can I use git integration to version control issue tracking data?▼

Yes, you can use git integration to version control issue tracking data because the system stores all issue data, design documents, and session notes as plain files versioned with git for easy archival.

How does issue lifecycle management work for complex software development projects?▼

Issue lifecycle management orchestrates complex software development by tracking issues from creation through completion, linking design documents, managing dependencies, and enforcing automated checkpoints across AI agent teams.

What are the limitations of using a file-based issue tracker for AI agent orchestration?▼

The primary limitation of this file-based issue tracker is its strict dependency on the .jit/ directory environment and JIT CLI or MCP tools, requiring git version control infrastructure to manage plain file issue data.

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