How do I trigger the consolidation process?

You can trigger it by using the command `/consolidation`, optionally adding a scope like a domain tag (e.g., '/consolidation scala') or a time range.

When is the best time to run the consolidation skill?

It is best used during natural breakpoints such as the end of a work session, a project switch, or a weekly review when memory counts are high.

Does this skill require manual data entry?

No, the consolidation agent runs autonomously to gather memories, classify them, search for existing notes, and append updates with appropriate markers.

What is the difference between MCP Memory and the Obsidian Vault?

MCP Memory stores episodic, transient experiences and observations in an append-only format, while the Obsidian Vault contains curated, semantic knowledge for long-term reference.

Memory Consolidation

Name: Memory Consolidation
Author: channingwalton

bychanningwalton

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Productivity & Workflow

Transforms transient AI memories into structured semantic knowledge within an Obsidian vault.

About

This skill bridges the gap between episodic experiences recorded in MCP-Memory and long-term semantic knowledge stored in an Obsidian vault. By invoking a specialized consolidation agent, it autonomously distills atomic facts and observations into curated notes, using WikiLinks to create an emergent structure rather than rigid naming conventions. It is designed to run during natural breakpoints, ensuring that valuable insights gained during development are preserved for future reference without interrupting the active coding flow.

Key Features

Classifies information to determine what to keep, skip, or consolidate
3 GitHub stars
Supports scoped consolidation by domain tags or specific time ranges
Distills episodic memories into permanent semantic knowledge notes
Generates autonomous summary reports of all processed memories
Automatically links related notes using WikiLinks for emergent structure

Use Cases

Conducting weekly reviews to organize thoughts and lessons learned
Converting project-specific coding patterns into a long-term reference library
Batching high volumes of atomic memories into cohesive documentation

About

Key Features

Classifies information to determine what to keep, skip, or consolidate
3 GitHub stars
Supports scoped consolidation by domain tags or specific time ranges
Distills episodic memories into permanent semantic knowledge notes
Generates autonomous summary reports of all processed memories
Automatically links related notes using WikiLinks for emergent structure

Use Cases

Conducting weekly reviews to organize thoughts and lessons learned
Converting project-specific coding patterns into a long-term reference library
Batching high volumes of atomic memories into cohesive documentation