.claude/skills/memory-test/SKILL.md
Run E2E memory pipeline test — embed text, store in Qdrant, search and retrieve. Use to validate the memory system is working.
npx skillsauth add Dirty13itch/kaizen memory-testInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Run the full embed → store → search pipeline:
Start port-forward (if not already running):
kubectl port-forward svc/qdrant -n vector 6333:6333 &
sleep 2
Generate embedding:
curl -s http://10.10.10.10:30001/v1/embeddings \
-H "Content-Type: application/json" \
-d '{"model":"default","input":"Kaizen memory pipeline test at '"$(date -Iseconds)"'"}'
Verify: 4096 dimensions returned.
Store in Qdrant:
Use the embedding from step 2 to upsert a point into the episodic collection with a random UUID and timestamp payload.
Search:
Generate a new embedding for a related query and search the episodic collection. Verify score > 0.5.
Report: | Step | Status | Details | |------|--------|---------| | Embedding | ? | dims, latency | | Store | ? | collection, point ID | | Search | ? | score, matches |
Cleanup port-forward:
kill %1 2>/dev/null
testing
Pre-commit validation suite for manifests, scripts, and configs
testing
Run the full integration test suite
testing
Check Kaizen system health across all nodes and services
testing
Resume from last checkpoint — show progress, cluster state, next actions