get-backlog-specs

Prioritize GitHub issue backlog items and propose top 3 for implementation.

9|2|Updated Mar 12, 2026
One-click install
npx skills add https://github.com/fjpulidop/specrails-core --skill get-backlog-specs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: get-backlog-specs
Source: https://github.com/fjpulidop/specrails-core/tree/main/specrails-plugin/skills/get-backlog-specs
Command: npx skills add https://github.com/fjpulidop/specrails-core --skill get-backlog-specs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

View and prioritize product-driven backlog items sourced from GitHub issues and surface a concrete top-3 implementation plan for the business.

Core Features & Use Cases

  • Fetch open backlog items labeled "product-driven-backlog" from GitHub and treat them as candidate features.
  • Parse metadata (Area, Persona Fit, Effort, Description, User Story) and compute an overall persona score.
  • Build a dependency graph from the Prerequisites fields, detect cycles, and identify cycle members.
  • Compute safe implementation waves, group features by area, and rank within each area by persona score then effort.
  • Render detailed backlog tables with blockers and prerequisites, and propose the top 3 items for immediate work.
  • Write backlog snapshots to .claude/backlog-cache.json for cacheable reuse.

Quick Start

Run the backlog workflow to fetch open issues, prioritize top ideas, and render a ready-to-implement plan.

Frequently Asked Questions about get-backlog-specs

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

FAQPage Schema
How do I prioritize GitHub issues from my product backlog by dependency and effort?

You can prioritize your product backlog by running the workflow to fetch open GitHub issues labeled "product-driven-backlog", parse their metadata, compute a dependency graph, and output safe implementation waves with a top-3 action plan.

What is dependency-aware prioritization for backlog planning using GitHub issues?

Dependency-aware backlog planning builds a dependency graph from GitHub issue prerequisites, detects cycles, and calculates safe topological waves to sequence feature implementation without blocking.

How do I calculate safe implementation waves for backlog features using topological sort?

Safe implementation waves are calculated by constructing a dependency graph from GitHub issue prerequisites, detecting cycles, and applying topological sorting to group features into non-blocking execution waves.

Can I use this backlog prioritization workflow if my team only tracks issues on GitHub?

Yes, this workflow is explicitly designed for teams using GitHub issues as their backlog. It fetches open issues labeled "product-driven-backlog", parses their metadata, and proposes a ready-to-implement plan.

What happens if there is a circular dependency in my GitHub backlog prerequisites?

If a circular dependency exists in your backlog prerequisites, the Skill detects the cycle during dependency graph construction, identifies the specific cycle members, and prevents them from blocking the safe implementation wave computation.

How are backlog snapshots cached for reuse during product planning?

Backlog snapshots are cached by writing parsed GitHub issue metadata, dependency graphs, and computed implementation waves to a local .claude/backlog-cache.json file for cacheable reuse.