cdeust/cortex/cortex-explore-memory

Claude Code and agent skill by cdeust/cortex

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Checking that the SKILL.md file is still in the repository.

Explore the memory system's state, find gaps in knowledge, assess coverage, and get diagnostic information. Use when the user asks 'what does my memory look like', 'show me memory stats', 'what am I missing', 'how good is my knowledge', 'memory health', 'show coverage', 'find gaps', 'what topics are weak', or when you need to understand the state of stored knowledge before a task.

Install

npx vskill@latest install cdeust/cortex/cortex-explore-memory

SKILL.md

Explore Memory — Diagnostics, Gaps, and Coverage

Keywords

memory stats, diagnostics, coverage, gaps, what am I missing, memory health, knowledge gaps, weak areas, isolated entities, sparse domains, how much do I know, memory overview, system status, knowledge assessment

Overview

Understand the state of your memory system — what's stored, what's missing, what's decaying, and where knowledge is strong or weak. This skill combines multiple diagnostic tools to give you a complete picture.

Use this skill when: Starting a new project phase, after a long break, or when you want to understand what Cortex knows and doesn't know about a topic.

Workflow

Step 1: Quick Health Check

Get system-level diagnostics:

cortex:memory_stats({})

Returns: total memories, heat distribution, store type breakdown (episodic vs semantic), entity count, relationship count, average confidence, and decay statistics.

Step 2: Assess Knowledge Coverage

Score how well a topic or project is covered:

cortex:assess_coverage({
"domain": "<project or topic>",
"query": "<specific area to assess>"
})

Returns a 0-100 coverage score with specific recommendations on what to document or remember next.

Step 3: Detect Knowledge Gaps

Find isolated entities, sparse domains, and temporal drift:

cortex:detect_gaps({
"domain": "<optional domain filter>"
})

Returns:

  • Isolated entities — entities mentioned but not connected to memories
  • Sparse domains — project areas with few memories
  • Temporal gaps — periods with no memory activity (potential knowledge loss)
  • Orphan clusters — groups of memories disconnected from the main knowledge graph
Step 4: Validate Against Filesystem

Check if memories reference files/paths that still exist:

cortex:validate_memory({
"directory": "<project root>"
})

Flags stale memories that reference deleted files, moved modules, or renamed functions — keeping the knowledge base accurate.

Step 5: Review Memory Quality

Get a narrative summary of what's stored:

cortex:narrative({
"domain": "<project>",
"style": "diagnostic"
})

Or get a period-based project story:

cortex:get_project_story({
"domain": "<project>",
"period": "last_30_days"
})

Tips

  • Run after backfill: After cortex:backfill_memories, run diagnostics to see what was captured and what's still missing
  • Coverage before deep work: Before a major feature or refactor, assess coverage to know if you have enough context stored
  • Validate periodically: Run validate_memory after major refactors to catch stale references

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
71
Repository forks
11
7-day trend score
21

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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