القائمة
Run E2E memory pipeline test — embed text, store in Qdrant, search and retrieve. Use to validate the memory system is working.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Run the full integration test suite
Resume from last checkpoint — show progress, cluster state, next actions
Deploy Kaizen components with safety checks and validation
Development workflow for Kaizen - branching, commits, testing
Launch autonomous overnight build session with Ralph Wiggum
Emergency rollback for Kaizen deployments
| name | memory-test |
| description | Run E2E memory pipeline test — embed text, store in Qdrant, search and retrieve. Use to validate the memory system is working. |
| allowed-tools | Bash |
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