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campaign

Orchestrates agent-based engineering workflows to systematically resolve software backlog issues through peer review and integration audits.

8|2|Updated Feb 8, 2026
Search Tags:#automation#workflow#orchestration#engineering#backlog#code-review
One-click install
npx skills add https://github.com/psaab/xpf --skill campaign-psaab
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: campaign
Source: https://github.com/psaab/xpf/tree/main/.claude/skills/campaign
Command: npx skills add https://github.com/psaab/xpf --skill campaign-psaab

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the problem of stagnant, unmanaged issue backlogs by providing an autonomous orchestration layer that drives every open issue to a terminal state through systematic ranking, agent-based execution, and rigorous review.

Core Features & Use Cases

  • Autonomous Backlog Management: Automatically ranks issues by priority and determines the optimal execution route (parallel or serial) to ensure maximum throughput.
  • Quality-First Enforcement: Mandates hostile peer reviews and Copilot evaluation for every PR, preventing common pitfalls like re-entrant deadlocks or incomplete fixes.
  • Use Case: Use this skill to clear a massive backlog of technical debt in a complex Rust/Go codebase by fanning out specialized engineer agents to implement fixes while maintaining strict integration audit standards.

Quick Start

Invoke the campaign skill to begin an autonomous drive-to-zero sweep of all open issues in the repository.

Frequently Asked Questions about campaign

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

FAQPage Schema
How do I automate clearing a stagnant software engineering backlog?▼

Automating backlog clearance requires an orchestration layer that ranks open issues, fans out parallel agent-based engineering workflows, and enforces strict quality gates to drive every item to a terminal merged or verified-kill state.

What is the best way to orchestrate parallel code review for technical debt?▼

Orchestrating parallel code review for technical debt involves mandating hostile peer reviews and Copilot evaluation for every pull request, preventing common pitfalls like re-entrant deadlocks or incomplete fixes before final integration auditing.

How does autonomous issue prioritization work for complex codebases?▼

Autonomous issue prioritization works by systematically ranking open issues to determine the optimal execution route, fanning out specialized engineer agents in parallel or serial workflows to ensure maximum throughput and zero backlog.

Can I use automated workflow orchestration to manage Rust or Go technical debt?▼

You can use workflow orchestration to clear massive technical debt in complex Rust or Go codebases by deploying specialized engineer agents to implement fixes while maintaining strict integration audit standards and merge discipline.

What quality gates are enforced during autonomous backlog resolution?▼

Quality gates enforced during backlog resolution include mandatory hostile peer reviews, Copilot evaluation for every pull request, and strict integration auditing to ensure all issues reach a terminal state of either merged or verified-kill.

When should I avoid using an autonomous engineering workflow orchestration drive?▼

You should avoid autonomous engineering workflow orchestration if your project lacks defined issue tracking, requires human-centric nuanced architectural decisions, or cannot support the strict merge discipline and terminal state enforcement required by agent-based execution.

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