cortex-debug-memory
Debug and fix memory system issues — validate memories, rate quality, manage protection, forget bad memories, and restore from checkpoints. Use when the user says 'fix memory', 'bad memory', 'wrong memory', 'delete this', 'protect this', 'this memory is wrong', 'memory quality',
Install
npx skills add https://github.com/cdeust/Cortex/tree/main/skills/cortex-debug-memory
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install cdeust-cortex@llmmart
git clone https://github.com/cdeust/Cortex.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole cdeust/cortex collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
Debug Memory — Fix, Rate, Protect, and Restore
Keywords
debug, fix, bad memory, wrong, delete, forget, protect, rate, quality, restore, checkpoint, undo, stale, incorrect, mark useful, mark not useful, anchor, unprotect
Overview
Tools for maintaining memory quality — rate memories as useful or not, protect critical ones from decay, forget incorrect ones, validate against the filesystem, and restore from checkpoints when things go wrong.
Use this skill when: Recall returns wrong results, memories are stale, you need to undo changes, or you want to improve retrieval quality through feedback.
Workflow
Fix Bad Memories
Soft delete (sets heat to 0, memory still exists but won't surface):
cortex:forget({
"memory_id": <id>,
"hard": false
})
Hard delete (permanent removal):
cortex:forget({
"memory_id": <id>,
"hard": true
})
Protected memories require "force": true to delete.
Rate Memory Quality
Provide feedback to train the metamemory confidence model:
cortex:rate_memory({
"memory_id": <id>,
"useful": true
})
Or mark as not useful:
cortex:rate_memory({
"memory_id": <id>,
"useful": false,
"reason": "outdated — we no longer use this approach"
})
Ratings adjust the memory's confidence score, which affects future retrieval ranking. Over time, this trains the system to surface better results.
Protect Critical Memories
Anchor a memory (heat=1.0 permanently, injected at session start):
cortex:anchor({
"memory_id": <id>,
"reason": "Core architecture decision — never decay"
})
Validate Against Reality
Check if memories reference things that still exist:
cortex:validate_memory({
"directory": "<project root>"
})
Returns a list of stale memories (referencing deleted files, moved modules, etc.) that should be forgotten or updated.
Checkpoint and Restore
Save a checkpoint before risky operations:
cortex:checkpoint({
"action": "save",
"label": "before-cleanup"
})
Restore if something went wrong:
cortex:checkpoint({
"action": "restore",
"label": "before-cleanup"
})
List available checkpoints:
cortex:checkpoint({
"action": "list"
})
Checkpoints are also created automatically before context compaction (via the compaction hook).
Common Issues
Recall returns irrelevant results:
- Rate the bad results as
useful: false - Rate the good results as
useful: true - Check if there are duplicate/conflicting memories on the same topic
- Run
validate_memoryto find stale content
Too many memories on the same topic:
- Run
cortex:consolidate— CLS will merge similar episodic memories into semantic ones - Manually
forgetduplicates
Memory seems wrong/outdated:
- Forget the old memory
- Remember the corrected version
- The knowledge graph will update automatically
Lost important context after compaction:
- Check
cortex:checkpoint({ "action": "list" })for auto-checkpoints - Restore the most recent pre-compaction checkpoint
- Anchored memories survive compaction automatically
Files (cortex)
-
SKILL.md 3.5 KB
--- name: cortex-debug-memory description: "Debug and fix memory system issues — validate memories, rate quality, manage protection, forget bad memories, and restore from checkpoints. Use when the user says 'fix memory', 'bad memory', 'wrong memory', 'delete this', 'protect this', 'this memory is wrong', 'memory quality', 'rate this memory', 'restore checkpoint', 'undo', or when memories are returning incorrect or stale results." --- # Debug Memory — Fix, Rate, Protect, and Restore ## Keywords debug, fix, bad memory, wrong, delete, forget, protect, rate, quality, restore, checkpoint, undo, stale, incorrect, mark useful, mark not useful, anchor, unprotect ## Overview Tools for maintaining memory quality — rate memories as useful or not, protect critical ones from decay, forget incorrect ones, validate against the filesystem, and restore from checkpoints when things go wrong. **Use this skill when:** Recall returns wrong results, memories are stale, you need to undo changes, or you want to improve retrieval quality through feedback. ## Workflow ### Fix Bad Memories **Soft delete** (sets heat to 0, memory still exists but won't surface): ``` cortex:forget({ "memory_id": <id>, "hard": false }) ``` **Hard delete** (permanent removal): ``` cortex:forget({ "memory_id": <id>, "hard": true }) ``` Protected memories require `"force": true` to delete. ### Rate Memory Quality Provide feedback to train the metamemory confidence model: ``` cortex:rate_memory({ "memory_id": <id>, "useful": true }) ``` Or mark as not useful: ``` cortex:rate_memory({ "memory_id": <id>, "useful": false, "reason": "outdated — we no longer use this approach" }) ``` Ratings adjust the memory's confidence score, which affects future retrieval ranking. Over time, this trains the system to surface better results. ### Protect Critical Memories **Anchor** a memory (heat=1.0 permanently, injected at session start): ``` cortex:anchor({ "memory_id": <id>, "reason": "Core architecture decision — never decay" }) ``` ### Validate Against Reality Check if memories reference things that still exist: ``` cortex:validate_memory({ "directory": "<project root>" }) ``` Returns a list of stale memories (referencing deleted files, moved modules, etc.) that should be forgotten or updated. ### Checkpoint and Restore **Save a checkpoint** before risky operations: ``` cortex:checkpoint({ "action": "save", "label": "before-cleanup" }) ``` **Restore** if something went wrong: ``` cortex:checkpoint({ "action": "restore", "label": "before-cleanup" }) ``` **List available checkpoints:** ``` cortex:checkpoint({ "action": "list" }) ``` Checkpoints are also created automatically before context compaction (via the compaction hook). ## Common Issues **Recall returns irrelevant results:** 1. Rate the bad results as `useful: false` 2. Rate the good results as `useful: true` 3. Check if there are duplicate/conflicting memories on the same topic 4. Run `validate_memory` to find stale content **Too many memories on the same topic:** 1. Run `cortex:consolidate` — CLS will merge similar episodic memories into semantic ones 2. Manually `forget` duplicates **Memory seems wrong/outdated:** 1. Forget the old memory 2. Remember the corrected version 3. The knowledge graph will update automatically **Lost important context after compaction:** 1. Check `cortex:checkpoint({ "action": "list" })` for auto-checkpoints 2. Restore the most recent pre-compaction checkpoint 3. Anchored memories survive compaction automatically
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