collect-chats

Orchestrate the LOPS collect workflow to process unprocessed chats into Linear issues.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/alexisvincent/mia --skill collect-chats
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: collect-chats
Source: https://github.com/alexisvincent/mia/tree/main/.claude/skills/collect-chats
Command: npx skills add https://github.com/alexisvincent/mia --skill collect-chats

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill coordinates the end-to-end collect phase of the LOPS workflow, orchestrating parallel chat processing to turn scattered chat messages into Linear issues ready for triage.

Core Features & Use Cases

  • Load batches of unprocessed chats
  • Spawn parallel chat-collector subagents to process each chat
  • Aggregate results and loop until no unprocessed chats remain
  • Provides completion summary and handling of errors

Quick Start

Invoke the collect-chats skill to start processing unprocessed chats; e.g., say "triage chats" to begin.

Frequently Asked Questions about collect-chats

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

FAQPage Schema
How do I automate chat collection and triage across multiple messages?

Chat collection automates loading batches of unprocessed chats, spawning parallel agents to process each one, and creating Linear issues for triage. This Skill orchestrates the entire workflow in batches until all chats are processed.

Can I process chats in parallel batches?

Yes. The Skill spawns multiple chat-collector subagents in parallel for each batch (default batch size 20), waits for all to complete, then loops until no unprocessed chats remain, maximizing throughput.

What's the best way to triage a backlog of chats into Linear issues?

Invoke the collect-chats Skill to orchestrate the LOPS collect workflow. It loads unprocessed chats, routes each through parallel chat-collector agents, and outputs Linear issues ready for triage.

How does the batch control loop handle errors from chat-collector agents?

Subagent errors are handled per documented error-handling rules. The Skill waits for all agents in a batch to terminate before proceeding, ensuring consistent error tracking across the batch.

Do I need to manually configure batch size for chat processing?

Batch size defaults to 20 chats per cycle. The Skill uses this default for parallel processing; adjust as needed for your chat volume and orchestration requirements.