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Found 718 Skills
Production server monitoring stack covering Prometheus, Node Exporter, Grafana, Alertmanager, Loki, and Promtail on bare-metal or VM Linux hosts. USE WHEN: - Setting up monitoring for a new production server or VPS - Configuring Prometheus scrape targets for application or system metrics - Creating Grafana dashboards and datasource provisioning - Writing Alertmanager routing rules with email/Slack notifications - Implementing the PLG stack (Promtail + Loki + Grafana) for log aggregation - Performing live system diagnostics with htop, iotop, nethogs, ss, vmstat, iostat - Setting up uptime monitoring with UptimeRobot or healthchecks.io DO NOT USE FOR: - Kubernetes-native observability (use the kubernetes skill instead) - Application-level APM (distributed tracing with Jaeger/Tempo — use observability skill) - Cloud-managed monitoring (CloudWatch, GCP Monitoring, Azure Monitor) - Windows Server monitoring
A Palantir-ish dark command-center dashboard for family trip planning with convoy routes, timeline playback, meal logistics, and Google Maps integration.
Write programmatic Node.js or TypeScript scripts that drive the DatoCMS Content Management API using @datocms/cma-client, @datocms/cma-client-node, or @datocms/cma-client-browser — the code-first companion for content-heavy and automation work. Prefer this skill whenever the task needs real code for records, uploads, or project automation — including short mid-conversation asks like "publish them", "fix those slugs", "delete all drafts", or "bulk import this CSV", and longer checked-in scripts. Covers four areas: (1) content operations — create/update/delete/publish records, bulk import/export and CSV pipelines, pagination over large record sets, asset uploads from URL or local files with metadata, structured text and block payload edits; (2) environment and project governance — fork/promote environments, webhooks and build triggers, project settings and maintenance mode, scheduled publish/unpublish workflows, audit logs, usage analytics, subscription limits; (3) access control and typed flows — roles and API tokens, upload tracks and tags, generated CMA schema types for type-safe record operations; (4) schema and UI configuration when the user explicitly bypasses the migrations workflow or wants schema mutations embedded in a larger script — models, fields, blocks, saved filters, dashboard and schema menus, plugin install and configuration. For ordinary schema changes inside a project with a migrations workflow or a secondary environment, prefer `datocms-cli` migrations as the safe default; reach for this skill only when the user opts out or the mutation is part of a broader automation. Works for both one-off execution via `cma:call` / `cma:script` and checked-in `buildClient()` scripts for reusable or unattended code.
Team-management dashboard skill in the FlowAI aesthetic — three tabs (Team Members, Team Details, Activity Log), KPI stat row, member table, role distribution bar chart, online presence and activity sparklines, and a top-contributors panel, all in a single self-contained HTML file with light/dark theming, hoverable chart tooltips, click-to-zoom panels, and CSV export. Use when the brief asks for a team / workspace admin dashboard, an interactive admin dashboard with charts, or names FlowAI.
Programmatic video creation with React. Useful for branded explainers, social cuts, dashboards-to-video, and reproducible motion graphics.
Turns AI-generated demo UIs into real usable product workflows. Use when building, reviewing, or finishing apps, dashboards, forms, CRUD flows, onboarding, checkout, settings, auth-like flows, or any interface that must work beyond a static mockup.
Show a dashboard of all projects in the Claude Brain graph. Triggers: "brain status", "show projects", "show brain", "what's in my brain", "project dashboard", "brain overview", "list projects", "summary". Don't fire for loads (use brain-load) or saves (use brain-save).
SQL and Python-based employee performance analytics with KPI aggregation, departmental insights, and HR dashboard generation
Murder Mystery 2 inventory tracking, analytics dashboard, and gameplay optimization toolkit for Roblox
Design notification workflows the Novu way — choose channels, set severity, decide when a workflow is critical, configure digests, and route based on subscriber state. Applies to BOTH dashboard-authored and code-first (`@novu/framework`) workflows. Use when planning a new workflow, deciding which channels to include, picking severity, configuring digest behavior, or matching a use case (order confirmation, payment failed, account suspended, comment, trial expiring, password reset, webhook fan-out, fetch-then-notify) to a proven template.
Status dashboard for cheat-on-content. Displays current mode / rubric version / calibration progress / pending retros / pool status / whether SQLite needs an upgrade / whether rubric should be bumped. **Can be invoked at any time with no side effects**. Trigger words: "状态" / "看板" / "status" / "What should I do now?" / "How's the progress?"
Workload-aware architecture design for Apache Doris. MUST USE when designing data architectures, choosing between data models, planning ingestion strategies, sizing clusters, or translating business requirements into Apache Doris system designs. Complements doris-best-practices with decision frameworks and sizing-first workflow. Use when user describes a workload involving: IoT, sensor data, telemetry, real-time analytics, dashboard, log analysis, log search, CDC sync, time-series, device monitoring, point query service, ad-hoc analytics, lakehouse federation, ETL/ELT pipeline, report analytics, clickstream, user behavior, observability, metrics, fleet tracking, or any OLAP workload requiring table design from scratch. Also triggers on prompts like: "design a table for...", "how should I store...", "build an architecture for...", "we have X devices sending data every Y seconds", "recommend a cluster size for...", "what data model should I use for...", "we need to ingest X GB/day", "migrate from MySQL/PostgreSQL to Apache Doris". Also use for legacy analytics/search/serving stack consolidation prompts even when Apache Doris is not named explicitly, including replacing or migrating from Impala, Kudu, Elasticsearch/ES, Greenplum, Presto, HBase, Hive, Hadoop, Redis, or Lambda-style multi-engine data platforms.