Muzhicaomingwang

Product management data analysis skill for defining metrics, building funnels/cohorts, diagnosing growth/retention, designing experiments, and translating insights into product actions. Use for tasks like metric trees, event taxonomy, dashboard requirements, SQL-style analysis plans, and decision memos.

Elasticsearch DBA skill for index/mapping design, query tuning, cluster sizing and operations, shard/replica strategy, ILM, monitoring, troubleshooting (hot nodes, GC, rejected requests), and safe reindexing/upgrades. Use for tasks like designing search schemas, diagnosing performance issues, and operating ES in production.

Extract Xiaohongshu (小红书) noteId from shared note text or URLs, including xhslink.com short links and xiaohongshu.com/discovery/item/<noteId> links. Use when the user asks for “noteId/笔记ID”, provides a 小红书 share message, or pastes an xhslink short URL that needs redirect expansion.

UI/UE (user interface & user experience) skill for designing and reviewing interfaces. Use for tasks like creating UI specs, interaction states, component guidelines, visual hierarchy, responsive layouts, accessibility, design tokens, and handoff-ready requirements for engineers.

Nginx ops skill for configuring and operating Nginx as reverse proxy, web server, and ingress layer. Use for tasks like writing safe nginx.conf/server blocks, TLS, HTTP/2, caching, rate limiting, load balancing, observability, and troubleshooting 4xx/5xx, timeouts, and performance issues.

Product management UX skill for designing user journeys, information architecture, interaction flows, wireframe-level specs, usability heuristics, and experiment-driven iteration. Use for tasks like refining PRDs with UX requirements, defining success metrics, writing microcopy, accessibility considerations, and conducting user testing plans.

Build, review, and refactor WeChat Mini Program (微信小程序) frontends. Use for tasks like WXML/WXSS/JS/TS structure, page routing, componentization, state management patterns, API requests, login/openid flows integration points, performance optimization (setData), security/privacy compliance, and release/QA checklists.

Redis DBA skill for cache/data-structure design, performance tuning, memory optimization, persistence (RDB/AOF), replication/cluster, high availability (Sentinel), and operational troubleshooting. Use for tasks like diagnosing latency spikes, eviction issues, hot keys, and designing safe cache patterns.

Prometheus ops skill for metrics instrumentation, scraping configuration, alerting (Alertmanager), dashboarding (Grafana), SLO/SLA monitoring, and troubleshooting missing/incorrect metrics. Use for tasks like designing alert rules, improving observability, and building production monitoring runbooks.

Build, review, and refactor iOS mobile apps (Swift) using modern iOS patterns. Use for tasks like SwiftUI UI, navigation, state management, networking (URLSession), persistence (Core Data/SwiftData/Keychain), dependency injection, modularization (SPM), testing, performance, accessibility, and App Store release readiness.

PMO project management skill for planning and tracking delivery across teams. Use for tasks like creating project charters, WBS, timelines, RAID logs, RACI, sprint plans, status reports, risk management, stakeholder communication, and release coordination with clear milestones and acceptance criteria.

UE (user experience engineering) skill for defining end-to-end user experience behavior and interaction logic. Use for tasks like flow design, interaction models, state machines, error recovery, input validation, usability heuristics, accessibility, and turning UX intent into testable acceptance criteria for implementation.

QA workflow for software projects. Use for tasks like writing test plans, deriving test cases from PRDs, risk-based testing, API testing, UI testing, test data design, defect reporting, release checklists, and setting up automation strategy (unit/integration/e2e) with clear entry/exit criteria.

Algorithm/model development and fine-tuning skill. Use for tasks like dataset design/cleaning, supervised fine-tuning (SFT), preference optimization (DPO/RLHF concepts), LoRA/QLoRA, training configs, evaluation (offline/online), safety checks, deployment packaging, and cost/performance trade-offs.