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Gary-GaGa
Profil créateur GitHub

Gary-GaGa

Vue par dépôt de 79 skills collectés dans 1 dépôts GitHub.

skills collectés
79
dépôts
1
mis à jour
2026-05-15
explorateur de dépôts

Dépôts et skills représentatifs

rag-ingestion-pipeline
Développeurs de logiciels

Operationalising the data side of a RAG system — source enumeration, parsing, embedding batches, dedup, tombstone deletes, incremental git-SHA updates, schema migrations, observability. Use this skill when setting up or running the long-lived ingestion job over multiple repos.

2026-05-15
cloud-build-artifact-registry
Développeurs de logiciels

CI on Google Cloud — Cloud Build, Artifact Registry, vulnerability scanning, and Cloud Deploy for progressive rollouts. Covers Workload Identity Federation from external CI. Use this skill when wiring image builds and deploys to a GKE service on GCP, or auditing an existing GCP-side pipeline.

2026-05-15
gcp-observability-spring
Développeurs de logiciels

Observability for Spring Boot on GCP — JSON logs to Cloud Logging, OpenTelemetry traces to Cloud Trace, Micrometer metrics to Managed Prometheus, correlation IDs, and SLOs. Use this skill when adding telemetry to a Spring Boot service or debugging a production incident.

2026-05-15
tw-stock-chip
Analystes financiers et en placements

Chip-flow ("chip") analysis for Taiwan-listed stocks — tracking the three major institutions (foreign, investment trust, dealer), margin trading (financing/short-selling), TDCC shareholder concentration, and "main force" broker activity. Helps retail investors read the supply-side of a stock to time entries and exits.

2026-05-15
tw-stock-trend
Analystes financiers et en placements

Trend identification for Taiwan-listed stocks — Dow theory structure (HH/HL vs LH/LL), multi-timeframe alignment, strength and phase, pullback vs reversal. Use this skill to answer "is this stock in an uptrend or downtrend, and how strong?" before any entry / exit decision.

2026-05-15
gcp-vertex-ai-rag
Développeurs de logiciels

RAG infrastructure on GCP — Vertex AI Vector Search, AlloyDB AI, pgvector on Cloud SQL, Firestore vector, Vertex AI RAG Engine; embedding models; Document AI; IAM and cost. Use this skill when sizing or selecting the GCP RAG stack for a Spring/Java backend.

2026-05-15
graphrag-multi-service
Développeurs de logiciels

Knowledge-graph RAG for multi-microservice projects — modelling services, endpoints, events, dependencies as a graph; extracting edges from OpenAPI / Pub-Sub / Maven; hybrid graph + vector retrieval. Use this skill when "talk to my codebase" RAG misses cross-service relationships.

2026-05-15
gke-deployment
Administrateurs de réseaux et de systèmes informatiques

Deploying containerised services to GKE — Autopilot vs Standard, Workload Identity, Deployment/Service/Ingress manifests, GCLB, HPA, PDB, and rolling updates. Use this skill when shipping a service to GKE or hardening an existing GKE workload for production.

2026-05-15
Affichage des 8 principaux skills collectés sur 79 dans ce dépôt.
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