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conversation-filter

Classifies live chat conversations into LOG, SUMMARY, and DISCARD for tracking purposes.

Updated Nov 24, 2025
Search Tags:#logging#memory#conversation#classification#project-status#session-handover
One-click install
npx skills add https://github.com/qmfpdls4908/Vigos-s-Paradox --skill conversation-filter
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: conversation-filter
Source: https://github.com/qmfpdls4908/Vigos-s-Paradox/tree/main/.opencode/skills/conversation-filter
Command: npx skills add https://github.com/qmfpdls4908/Vigos-s-Paradox --skill conversation-filter

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Filter conversations to identify what should be logged vs discarded, preventing information overload.

Core Features & Use Cases

  • Real-time classification of conversations into LOG, SUMMARY, and DISCARD to guide retention and storage decisions
  • Supports organization of daily memory logs and easy navigation for audits and handovers
  • Integrates with project-status tracking and session-handover workflows to preserve decisions and context

Quick Start

Enable real-time classification in your chat pipeline and route outputs to the designated daily memory file.

Frequently Asked Questions about conversation-filter

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

FAQPage Schema
How do I filter team chat logs to reduce noise and keep only essential project decisions?▼

Filter team chat logs by classifying real-time conversations into LOG, SUMMARY, and DISCARD categories to reduce noise and retain essential project decisions.

What is the best way to classify conversations for daily memory logs and session handover?▼

Classifying conversations for daily memory logs involves routing real-time chat outputs into LOG, SUMMARY, and DISCARD buckets to preserve context for session handover.

Can I use conversation classification to track project status during real-time chats?▼

Yes, conversation classification tracks project status by identifying decisions, notes, and references during real-time chats and integrating them into PROJECT_STATUS.md.

How do I set up real-time conversation filtering in my existing chat pipeline?▼

Set up real-time conversation filtering by enabling the classification pipeline in your chat environment and routing the filtered outputs to a designated daily memory file.

Does this conversation filter require any specific dependencies or components to function?▼

No dependencies or components are required to function, as the conversation filter operates independently to classify chat content into LOG, SUMMARY, and DISCARD categories.

What are the limitations of using automated conversation classification for project tracking?▼

Automated conversation classification for project tracking is limited by its real-time processing design, meaning it focuses on guiding retention decisions rather than deep semantic analysis of historical logs.

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