gh-issue-sequencer — community gh-issue-sequencer, robot_sf_ll7, community, ide skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Project Management Agents needing advanced GitHub issue sequencing and backlog management capabilities. robot_sf in the ll7 namespace.

ll7 ll7
[4]
[2]
Updated: 2/25/2026

Agent Capability Analysis

The gh-issue-sequencer skill by ll7 is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.

Ideal Agent Persona

Perfect for Project Management Agents needing advanced GitHub issue sequencing and backlog management capabilities.

Core Value

Empowers agents to maintain a sequential, high-signal backlog using GitHub project boards, ensuring exactly one issue is 'In progress' and a small queue is 'Ready', while utilizing gh project view and JSON formatting for seamless integration.

Capabilities Granted for gh-issue-sequencer

Automating issue prioritization and sequencing
Generating and maintaining a small, explicit 'Ready' queue
Debugging and resolving blocked or decision-heavy issues using GitHub labels

! Prerequisites & Limits

  • Requires GitHub project board access
  • Limited to GitHub issues and project boards
  • Needs JSON formatting support for gh project view
Labs Demo

Browser Sandbox Environment

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Boot Container Sandbox

gh-issue-sequencer

Install gh-issue-sequencer, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
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GH Issue Sequencer

Overview

Use this skill to create and maintain a sequential, high-signal backlog so the next work item is always obvious.

Goal State

  • Exactly one issue is In progress.
  • A small, explicit queue (for example top 3) is Ready.
  • Remaining actionable issues are Todo or Tracked.
  • Blocked/decision-heavy issues are labeled and not silently mixed into ready work.

Workflow

  1. Load project board context

    • gh project view 5 --owner ll7 --format json
    • gh project field-list 5 --owner ll7 --format json
    • gh project item-list 5 --owner ll7 --limit 200 --format json
  2. Normalize metadata for open issues

    • Ensure issue has meaningful labels (bug, enhancement, domain labels like validation, training, global planner, performance).
    • Ensure milestone is set when roadmap context exists (for example benchmark milestone).
    • Ensure project Priority is set (Very High..Very Low) for actionable items.
    • Move stale completed items to Done.
  3. Classify issues into lanes

    • In progress: actively being implemented now.
    • Ready: clear scope + acceptance criteria + no missing decisions.
    • Todo: valid but not yet ready to start.
    • Tracked: dependent, blocked, or exploratory.
  4. Build deterministic order

    • Rank by:
      1. Status lane (Ready first)
      2. Priority (Very High to Very Low)
      3. impact label preference (bug before enhancement, then others)
      4. age (older issue number first)
    • Select and mark:
      • next one as In progress (if none already active)
      • next 2-3 as Ready
      • demote rest to Todo / Tracked as needed.
  5. Publish the sequence

    • Add/update a project-level summary comment (or issue comment on the selected next issue):
      • Now: #<issue>
      • Next: #<issue>, #<issue>
      • Blocked/Decision: #<issue>
    • Use scripts/dev/gh_comment.sh for multiline formatting.
  6. Keep sequence healthy

    • Remove Ready from issues missing acceptance criteria.
    • Add decision-required label for unresolved decisions and move to Tracked.
    • Split oversized issues into follow-ups and link them.

Practical Commands

  • Add issue to project:
    • gh project item-add 5 --owner ll7 --url https://github.com/ll7/robot_sf_ll7/issues/<n>
  • Edit labels/milestone:
    • gh issue edit <n> --add-label "<label1>,<label2>" --milestone "<milestone>"
  • Update project single-select fields:
    • gh project item-edit --id <item_id> --project-id <project_id> --field-id <field_id> --single-select-option-id <option_id>

Output Requirements

  • Explicitly list:
    • current In progress issue
    • ordered Ready queue
    • Tracked items requiring decisions
    • any metadata fixes applied (labels, milestone, priority, status)

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is gh-issue-sequencer?

Perfect for Project Management Agents needing advanced GitHub issue sequencing and backlog management capabilities. robot_sf in the ll7 namespace.

How do I install gh-issue-sequencer?

Run the command: npx killer-skills add ll7/robot_sf_ll7. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for gh-issue-sequencer?

Key use cases include: Automating issue prioritization and sequencing, Generating and maintaining a small, explicit 'Ready' queue, Debugging and resolving blocked or decision-heavy issues using GitHub labels.

Which IDEs are compatible with gh-issue-sequencer?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for gh-issue-sequencer?

Requires GitHub project board access. Limited to GitHub issues and project boards. Needs JSON formatting support for gh project view.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add ll7/robot_sf_ll7. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use gh-issue-sequencer immediately in the current project.

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