next

Determine the next highest-priority action for the SWARM synthesis pipeline.

4|Updated Feb 16, 2026
One-click install
npx skills add https://github.com/swarm-ai-safety/swarm-artifacts --skill next-swarm-ai-safety
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: next
Source: https://github.com/swarm-ai-safety/swarm-artifacts/tree/main/.claude/skills/next
Command: npx skills add https://github.com/swarm-ai-safety/swarm-artifacts --skill next-swarm-ai-safety

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users understand what task to focus on next within the SWARM synthesis pipeline by analyzing queue status, pending runs, and maintenance triggers.

Core Features & Use Cases

  • Queue Analysis: Identifies pending tasks in the synthesis pipeline.
  • Run Prioritization: Surfaces new experiment runs that haven't been processed.
  • Maintenance Alerts: Flags conditions requiring system review (e.g., high observation or tension counts).
  • Claim Status: Tracks stale or orphaned claims needing attention.

Quick Start

Ask "what should I work on" to get a prioritized list of next actions.

Frequently Asked Questions about next

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

FAQPage Schema
How do I prioritize tasks in an AI research pipeline?

Task prioritization for AI synthesis pipelines evaluates queue states, pending observations, and research threads to recommend next actions. It flags stale claims and high tension counts to determine what requires immediate attention.

How do I identify stale claims needing attention in a synthesis queue?

You can identify stale claims by tracking orphaned claims and monitoring maintenance alerts within the queue. Analyzing these conditions flags research threads needing review and surfaces tasks requiring immediate attention.

What triggers a maintenance alert for high observation or tension counts?

Maintenance alerts trigger when observation or tension counts reach high thresholds within the pipeline. Tracking these conditions flags system issues requiring review, preventing stale claims and pending runs from disrupting research threads.

Does this task prioritization tool work without external dependencies?

Yes, this task prioritization approach works without external dependencies. It analyzes queue status, pending runs, and maintenance triggers internally to recommend the next highest-priority action for your synthesis pipeline.

What is the best way to surface unprocessed experiment runs in a queue?

The best way to surface unprocessed experiment runs is through queue analysis. Evaluating queue status and pending tasks identifies new synthesis runs that have not been processed, allowing you to prioritize them immediately.