coworkia-conversations

Name: coworkia-conversations
Availability: InStock
Author: MarketingLab

Detect issues and opportunities in conversations and log them for prioritized action.

Updated Nov 6, 2025

Search Tags:#conversations #knowledge-base #bug-tracking #continuous-improvement #ux-improvement #friction-detection

Ready to run

npx skills add https://github.com/MarketingLabb/Coworkia-Agent --skill coworkia-conversations

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: coworkia-conversations
Source: https://github.com/MarketingLabb/Coworkia-Agent/tree/main/.github/skills/coworkia-conversations
Command: npx skills add https://github.com/MarketingLabb/Coworkia-Agent --skill coworkia-conversations

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automated continuous improvement by detecting issues, inefficiencies, bugs, or improvement opportunities during agent and client conversations and logging them for prioritization and action.

Core Features & Use Cases

Detects friction patterns where users must repeat themselves and triggers memory improvement workflows.
Logs bugs or unexpected behavior and queues them into a future flight plan for resolution.
Proposes UX enhancements and new templates when users express improvement desires or objections.
Captures confirmations of success to reinforce best practices and guide future conversations.
Adjusts flight plans in real time based on conversational signals to improve flow.
Aggregates client-facing insights (knowledge-base updates, high-intent phrases, response templates, and abandonment points) to drive continuous learning.

Quick Start

After activating, the system automatically starts listening for issues in conversations, logs them, and suggests prioritized actions.

Frequently Asked Questions about coworkia-conversations

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

FAQPage Schema

How do I automate continuous improvement from customer conversations?▼

You can automate continuous improvement by detecting friction, bugs, and UX opportunities during conversations, logging them into memory for prioritized action. The system identifies issues and suggests improvements to guide future interactions.

How does friction detection work in chat interactions?▼

Friction detection identifies patterns where users repeat themselves during agent and client conversations. It triggers memory improvement workflows to adjust prompts, update skills, and generate actionable improvement plans.

What is the best way to track bugs found during client conversations?▼

Tracking bugs from client conversations is done by logging unexpected behavior into a knowledge base and queuing them into a flight plan. This prioritizes and suggests actions for resolution with status tracking.

Can I use conversation insights to improve agent response templates?▼

Yes, you can use conversation insights to improve agent response templates. The system proposes UX enhancements and new templates when users express improvement desires or objections during client interactions.

Does automated conversation logging require manual setup for each chat?▼

No, automated conversation logging does not require manual setup for each chat. After activating, the system automatically starts listening for issues, logs them, and suggests prioritized actions across interactions.

When should I not use automated conversation analysis for UX improvements?▼

Avoid using automated conversation analysis when chats contain no actionable feedback or high-intent phrases. It relies on detecting user friction, objections, or success confirmations to generate an actionable improvement plan.