zl2023github

Collecting reliable data from static pages, dynamic sites, and APIs requires several tools and careful engineering. This skill provides implementation templates for extraction, cleaning, storage, monitoring, and scaling.

Manual test design and fragmented tools slow reliable releases. This skill plans, writes, runs, and reports automated, API, performance, and CI tests.

Complex systems require explicit boundaries, trade-offs, and operational constraints. This skill structures architecture analysis, diagrams, decisions, and documentation for review.

Security reviews require consistent scope, evidence, and remediation guidance across many tools. This skill provides practical workflows for authorized assessment, monitoring, hardening, and reporting.

Search teams need reliable guidance across indexing, ranking, semantic retrieval, and evaluation. This skill provides practical workflows and examples for building and improving search systems.

Fraud teams need practical methods to identify abuse, test controls, and monitor drift. This skill guides risk analysis, rules, models, backtesting, and real-time system design.

Full-stack teams often lack a repeatable way to measure performance and locate bottlenecks. This skill provides testing workflows, diagnostic commands, optimization guidance, and report structures.

Payment teams need consistent designs for transactions, channels, reconciliation, security, and failure handling. This skill provides structured guidance, examples, and review checklists.

Infrastructure work spans many tools, environments, and failure modes. This skill organizes deployment, troubleshooting, automation, monitoring, validation, and documentation into practical workflows.

Mobile teams must coordinate platform architecture, tooling, testing, performance, and release requirements. This skill provides practical guidance and examples for native and cross-platform workflows.

Frontend projects require coordinated setup, components, data flow, testing, and optimization. This skill provides practical workflows and templates for completing that work.

Complex delivery and reliability work often spans disconnected tools and operational practices. This skill provides structured workflows for implementation, diagnosis, automation, and review.

Data teams need dependable pipelines across fragmented platforms. This skill designs implementation-ready batch, streaming, modeling, orchestration, and quality workflows.

Business teams often lack consistent metrics and repeatable analysis workflows. This skill guides SQL, Python, dashboards, experiments, and automated reporting from requirements to delivery.

Backend projects require consistent choices across APIs, databases, security, performance, and deployment. This skill provides structured workflows, checklists, commands, and FastAPI examples.

Technology choices often hide tradeoffs across performance, cost, reliability, operations, and team readiness. This skill compares candidates, recommends an option, and defines proof-of-concept checks.

Architecture decisions often remain scattered across requirements, discussions, and diagrams. This skill organizes them into consistent Markdown documents for implementation and review.