Packs

2 packs

Build RAG Pipeline with Pinecone

Build a production RAG pipeline and persistent agent memory using Pinecone as the vector database backend.

6 skills · pack

Redpanda Data Skills

Agent Skills for Redpanda's five products — Streaming (Kafka-compatible engine), SQL (Oxla), Connect (incl. CDC connectors), Cloud (Serverless, BYOC, Dedicated), and the Agentic Data Plane — plus the rpk CLI. Grounded in Redpanda source, docs, and APIs.

32 skills · pack

Results for “product-data”

8 skills

production-audit

Audits local code for production readiness, identifying risks in security, data integrity, payments, operations, and UX before shipping.

database-schema-designer

Design an application database schema from product flows and backend responsibilities. Use when the team needs core entities, relationships, lifecycle fields, indexes, audit needs, tenancy boundaries, and migration-minded schema planning for an MVP or production system.

sakamoto-family-smile

production-audit

Audits a codebase for production readiness using local evidence, scoring ship/block risk and listing concrete fixes without sending repo data to external services.

More results

Spring Boot 3.x - Java framework for production-ready applications with dependency injection, REST APIs, data access, security, and actuator monitoring

srednoff888-art

production-review

Use this skill before merging, deploying, or shipping changes. It reviews code for bugs, security, auth, data loss, migrations, observability, performance, and rollback risks.

backend-mindset

Guides backend development across API design, authentication, databases, performance, security, scalability, and testing, with quick decision guides and defaults for production-ready systems.

building-soc-metrics-and-kpi-tracking

Builds SOC performance metrics and KPI tracking dashboards measuring Mean Time to Detect (MTTD), Mean Time to Respond (MTTR), alert quality ratios, analyst productivity, and detection coverage using SIEM data.

24.6k · bundle

theycallmeholla

what-would-bezos-do

Mine a codebase or product for underexploited assets — capabilities, infrastructure, data, integrations, and workflows built for one narrow purpose that could produce far more value. Finds platform primitives hiding inside features, internal tooling that could serve customers, and data accumulated but never leveraged. Produces an evidence-gated report (max 5 opportunities, mandatory kill list, one forced answer) plus a wwbd_packet JSON. Use whenever the user says "WWBD", "what would Bezos do", "what are we sitting on", "what did we accidentally build", "what could this become", "find opportunities in this repo", "what are we underexploiting", "is there a product hiding in here", or wants to know if existing infrastructure has a bigger economic surface than it currently serves. Trigger on casual phrasings too ("anything valuable buried in this codebase?"). Analyzes what EXISTS — missing features go to gap-scan, broken code to code-audit, confusing flows to ux-audit, weak persuasion to conversion-audit.