Enter a friendly OpenSEO coach mode that explains workflows, recommends next steps, and helps users use agents, web search, scraping, and MCP data effectively.

導入数: 8
GitHub Stars: 1.5万
更新日: 8月24日

MIT1 ファイル

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every-app

コミュニティ

seo-project-setup

Populate a project's shared OpenSEO context — site scope, goals, positioning, competitors, key pages, and preferences — plus MCP checks and Search Console intake.

導入数: 8
GitHub Stars: 1.5万
更新日: 8月24日

Turn a rough bug report, feature request, support note, or pull request into a short, plain-language issue focused on the problem and desired behavior. Use when a contributor asks to simplify an issue, explain what a PR is for, create the corresponding issue for a PR, remove implementation detail from a report, or invokes /simple-issue-description.

導入数: 8
GitHub Stars: 1.5万
更新日: 8月24日

modern-web-guidance

Search tool for modern web development best practices. MANDATORY: Execute FIRST for all HTML/CSS and clientside JS tasks. Do NOT skip — web APIs evolve rapidly and training weights contain obsolete patterns. Trigger immediately for: - UI/Layout: Modals, dialogs, popovers, Glassmorphism/backdrop-filters, anchor positioning, container queries, :has(), :user-valid. - Scroll/Motion: View Transitions, Scroll-driven animations, scroll parallax/reveals. - Performance: CWV (LCP, INP), content-visibility, Fetch Priority, image optimization. - System/APIs: Local filesystem access, WebUSB, WebSockets sync, WebAssembly widgets. - Frameworks: Adapting layout/styles in React, Vue, Angular. - General Frontend: Forms, autofill, advanced inputs, custom scrollbars, modern component states, etc. DO NOT trigger for: - Backend: Database SQL, ORMs, Express API routes. - Pipelines: CI/CD deployment, Docker, Actions. - Generic: Local scripts (Python/Go tools), ESLint, Git.

導入数: 8
GitHub Stars: 1872
更新日: 8月24日

argent-qa-flows

Create repeatable QA regression E2E tests as Argent flows from test cases, tickets, or acceptance criteria. Use when the user asks to generate or preserve an automated regression scenario, with deterministic setup, stable targets, executable structural or visual evidence, and two consecutive full passes. For one-off UI checks or replayable paths without acceptance criteria, use argent-test-ui-flow or argent-create-flow. Supports iOS, Android, Chromium, and Vega (Fire TV), where recorded tv-remote steps replace touch directives. Apple TV and Android TV are unsupported; use argent-tv-interact there and report the limitation.

導入数: 8
GitHub Stars: 2316
更新日: 8月31日

argent-screen-recording

Record a video of an iOS simulator or Android emulator/device screen using argent MCP tools. Use when the user asks to record the screen, capture a video of a flow, interaction, or animation, produce a screen recording, or document app behavior as a video clip.

導入数: 8
GitHub Stars: 2316
更新日: 8月31日

simplify

Simplify and refine recently modified code for clarity and consistency. Use after writing code to improve readability without changing functionality.

導入数: 8
GitHub Stars: 365
更新日: 3月25日

clerk

Clerk authentication router. Use when user asks about Clerk CLI operations, adding authentication, setting up Clerk, custom sign-in flows, Swift or native iOS auth, native Android auth, Next.js patterns, React patterns, Vue patterns, Nuxt patterns, Astro patterns, TanStack Start patterns, Expo patterns, React Router patterns, Chrome Extension patterns, organizations, billing, subscriptions, payments, pricing, plans, seat-based pricing, feature entitlements, syncing users, testing, impersonating a user, or testing webhooks locally. Automatically routes to the specific skill based on their task.

導入数: 8
GitHub Stars: 69
更新日: 8月31日

cloud-build-basics

- Teaches the fundamentals of Google Cloud Build (GCB). Covers core concepts, API enablement, console navigation to the Build History page, and the end-to-end workflow for creating and manually running a basic build trigger. Do not use for managing private pools or complex pipeline architectures.

導入数: 7
GitHub Stars: 1.9万
更新日: 8月28日

cloud-logging-query-generation

- Generates Logging Query Language (LQL) queries for Google Cloud Logging from natural language. Use this skill when you need to query log data or when you are debugging issues. You can filter log data by Google Cloud service. Don't use this skill to query other databases, such as SQL or Cloud Spanner.

導入数: 7
GitHub Stars: 1.9万
更新日: 8月28日

cloud-monitoring-chart-generation

- Generates Google Cloud Monitoring Server-Driven UI (SDUI) Widget and XyChart Protocol Buffer textprotos from resolved PromQL or ListTimeSeries queries. Use when: - Generating valid google.monitoring.dashboard.v1.Widget textprotos, containing PrometheusQuery or TimeSeriesFilter datasets, for use with the Cloud Monitoring Dashboards API, gcloud CLI, or declarative dashboard definitions. - Synthesizing Server-Driven UI (SDUI) widget titles, axis labels, and plot types for Prometheus or ListTimeSeries queries. Don't use for: - Metric discovery or PromQL query generation. For those tasks, use the cloud-monitoring-metric-selection or cloud-monitoring-promql-query skills.

導入数: 7
GitHub Stars: 1.9万
更新日: 8月28日

cloud-monitoring-metric-selection

- Retrieve, query, and identify relevant Google Cloud Monitoring metric descriptors for a GCP service or resource (such as Compute Engine, Spanner, BigQuery, Cloud Run, Cloud SQL, Pub/Sub, Cloud Storage, etc.). Use when asked to find, list, search, or discover GCP metric types, names, kind/value schemas, or descriptors.

導入数: 7
GitHub Stars: 1.9万
更新日: 8月28日

cloud-monitoring-promql-query

- Generates valid PromQL queries from Cloud Monitoring metric descriptors and resource parameters. Use when asked to create, generate, write, or format PromQL queries, PromQL strings, or PromQL aggregations for Cloud Monitoring metrics and resources. Don't use for raw metric discovery or metric selection.

導入数: 7
GitHub Stars: 1.9万
更新日: 8月28日

gke-cluster-creation

- Plans and executes GKE cluster creation, provisioning, and production readiness audits using pre-defined templates (Autopilot, Standard Regional, GPU/AI Inference, AI Hypercompute). Use when creating GKE clusters, provisioning GKE environments, selecting cluster modes, or auditing GKE clusters. Don't use for application onboarding or deployment configuration (use gke-app-onboarding instead).

導入数: 7
GitHub Stars: 1.9万
更新日: 8月28日

gke-networking

- Plans, configures, and manages core GKE cluster networking. Covers private clusters, VPC-native configurations, DNS, node egress, Dataplane V2, and IP planning. Use when designing GKE networking layouts, configuring private clusters, setting up Dataplane V2, planning GKE IP ranges, or managing VPC- native cluster modes. Don't use for application ingress, load balancing, or service networking (use gke-service-networking instead).

導入数: 7
GitHub Stars: 1.9万
更新日: 8月28日

gke-reliability

- Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for disaster recovery setup or full cluster backups (use gke-backup-dr instead).

導入数: 7
GitHub Stars: 1.9万
更新日: 8月28日

gke-storage

- Manages GKE storage, including PVCs, PersistentVolumes, Filestore, and GCS FUSE. Use when configuring GKE storage, creating PVCs, or setting up GCS FUSE on GKE. Don't use for database administration or replication strategies outside volume provisioning context.

導入数: 7
GitHub Stars: 1.9万
更新日: 8月28日

gke-workload-troubleshooting

- Diagnoses GKE workload failures (CrashLoopBackOff, OOMKilled, ImagePullBackOff, Pending, etc.) via logs and events. Use when pods fail to start or crash repeatedly. Don't use for GKE cluster infrastructure provisioning, node pool creation, or non-Kubernetes Google Cloud services.

導入数: 7
GitHub Stars: 1.9万
更新日: 8月28日

google-agents-cli-onboarding

- Onboarding entrypoint for agents-cli in Agent Platform. It should be used when the user wants to "create a new agent", "develop an agent", "build an agent using ADK", "run the agent locally", "debug agent code", "test an agent", "evaluate an agent", "deploy an agent", "publish an agent", "monitor an agent", or needs the ADK (Agent Development Kit) development lifecycle.

導入数: 7
GitHub Stars: 1.9万
更新日: 8月28日

Apache-2.01 ファイル

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