br

Manage local issue tracking and dependency resolution with a SQLite-backed CLI tool.

3|Updated Apr 2, 2026
One-click install
npx skills add https://github.com/legout/pi-config --skill br-legout
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: br
Source: https://github.com/legout/pi-config/tree/main/skills/br
Command: npx skills add https://github.com/legout/pi-config --skill br-legout

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a structured, local-first issue tracking system that allows AI agents to manage backlogs, dependencies, and task lifecycles without relying on external project management platforms.

Core Features & Use Cases

  • Dependency-Aware Workflows: Automatically identifies actionable tasks by analyzing dependency graphs and blocking states.
  • Structured Issue Lifecycle: Standardizes the creation, assignment, prioritization, and closure of tasks with JSON-based audit trails.
  • Use Case: When working on a complex feature, use this skill to create linked sub-tasks, track their completion status, and ensure the agent only attempts work that is currently unblocked.

Quick Start

Use the br skill to initialize a new issue tracker in the current repository and list all ready tasks.

Frequently Asked Questions about br

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

FAQPage Schema
How do I manage local issue tracking for AI coding agents without external platforms?

Use a SQLite-backed CLI tool to manage local issue tracking, enabling AI agents to handle backlogs, dependencies, and task lifecycles without relying on external project management platforms.

How does dependency-aware workflow automation work for backlog triage?

Dependency-aware workflow automation analyzes dependency graphs and blocking states to identify actionable tasks, ensuring agents only attempt work that is currently unblocked during backlog triage.

Can I synchronize work items across git-based development environments using a CLI?

Yes, you can synchronize work items and facilitate task triage across git-based development environments using a local-first CLI tool designed for AI agent interaction.

Do I need structured JSON output patterns for reliable agent-machine interaction?

Yes, adhering to structured JSON output patterns is required for reliable agent-machine interaction when using the CLI to standardize issue creation, assignment, prioritization, and closure.

What is the best way to track linked sub-tasks and their completion status locally?

The best way is using a local-first issue tracking system to create linked sub-tasks, track their completion status, and maintain JSON-based audit trails for the entire issue lifecycle.