macOS上のOpenClawをmainの最新版へ更新し、Gatewayとアプリの動作を確認します。CIの失敗修正や、公開を伴わないリリース検証も扱います。
- macOSのOpenClawを更新したいとき
- 更新後のGatewayとアプリの動作確認
- 現在のmainに対するCIの失敗修正
445 件 ・ 関連度順
概要と使いどころ
macOS上のOpenClawをmainの最新版へ更新し、Gatewayとアプリの動作を確認します。CIの失敗修正や、公開を伴わないリリース検証も扱います。
KubeSphere Gateway API extension management Skill (Traefik based, uses Kubernetes Gateway API + GatewayProxy CRD gatewayapi.kubesphere.io/v1alpha1). This is the newer Kubernetes Gateway API standard. For the older Ingress API based gateway (ingress-nginx + Gateway CRD gateway.kubesphere.io/v2alpha2), see the kubesphere-gateway skill instead. Covers installation, uninstallation, status checks, GatewayProxy status inspection, and troubleshooting.
日本語の概要は準備中です。原文の説明を表示しています。
OpenClawの通常版とextended-stable版について、公開先、配布物の出所、テスト結果、Gatewayの実動作を照合し、リリース状況を確認します。
OpenClawのGatewayや設定、認証情報の参照、チャネル、ポートの不具合を読み取り専用の確認で調べ、根拠付きの診断結果と次の対応を整理するスキル。
既存のOpenClaw Gatewayを導入環境に合った管理手順で更新し、再起動後のセッション復旧と、目的のバージョンが稼働しているかの確認まで進めるスキルです。
KubeSphere Gateway extension management Skill (ingress-nginx based, uses Kubernetes Ingress API + Gateway CRD gateway.kubesphere.io/v2alpha2). For the newer Kubernetes Gateway API (Traefik + GatewayProxy CRD), see the kubesphere-gateway-api skill instead. Covers installation, uninstallation, status checks, gateway status inspection, and troubleshooting (gateway stuck states, Helm failures, pod issues).
日本語の概要は準備中です。原文の説明を表示しています。
OpenClawのリリース候補を人が試すために、隔離コピーなどの検証環境を準備し、テストの進行とフィードバック整理を支援します。公開前の報告確認も扱います。
Debug why an OpenShell gateway deployment is unhealthy, unreachable, or unable to create sandboxes. Use for gateway health failures, Docker/Podman runtime issues, Helm failures, Kubernetes scheduling, TLS or auth, gateway interceptors, supervisor middleware startup or runtime failures, external compute-driver sockets, VM drivers, or sandbox startup. Trigger keywords - debug gateway, gateway failing, deployment failing, helm install failing, cluster health, gateway health, gateway not starting, health check failed, sandbox pending, docker driver, podman driver, kubernetes driver, external driver, compute driver socket, gateway interceptor, supervisor middleware, middleware failed, vm driver.
日本語の概要は準備中です。原文の説明を表示しています。
Implements security controls at the API gateway layer including authentication enforcement, rate limiting, request validation, IP allowlisting, TLS termination, and threat protection. The engineer configures API gateways (Kong, AWS API Gateway, Azure APIM, Apigee) to act as a centralized security enforcement point that validates, throttles, and monitors all API traffic before it reaches backend services. Activates for requests involving API gateway security, API management security, gateway a...
日本語の概要は準備中です。原文の説明を表示しています。
Build the native (MSIX, isolated-session) OpenClaw Gateway from the latest openclaw/openclaw sources (or any ref, local checkout, or prebuilt openclaw.tgz), register it side by side with the Microsoft Store Gateway, and run Companion against it with OPENCLAW_NATIVE_GATEWAY_DEV_PATCH. Use when the user asks to test Companion with Gateway main, an unreleased Gateway change, or a source-built native Gateway, or to remove such a build.
日本語の概要は準備中です。原文の説明を表示しています。
Use when querying or calling pay-per-token foundation models, or when creating, updating, listing, or querying Unity Gateway (also called Unity AI Gateway) services, including model provider services, MCP services, system.ai services, and three-part Unity Catalog service names (catalog.schema.service). Also use for managing spend budgets and usage alerts on Unity Gateway, and for migrating from legacy AI Gateway. Also use when a workload with Model Serving endpoint permissions (for example CAN_QUERY) gets PERMISSION_DENIED querying a three-part model name, since serving-endpoint access does not grant access to a Unity Gateway service. Not for configuring legacy AI Gateway on Model Serving endpoints; use databricks-model-serving for that.
日本語の概要は準備中です。原文の説明を表示しています。
Select, integrate, and operate multi-model video-generation gateways — hosted inference aggregators such as fal.ai, Replicate, and WaveSpeed that expose many third-party video (and video-adjacent audio) models behind one account, one API surface, and one bill. Use when deciding whether to route video generation through a gateway versus a direct model-provider API; when comparing gateways on catalog, async/queue job design, webhooks, pricing, schema discovery, and version pinning; and when operating gateway workloads in production — spend controls, retries, cross-gateway failover, content- safety differences, data retention, and commercial-rights passthrough of the underlying model. Not for direct model-provider APIs, local/self-hosted inference, model training/fine-tuning, or image-only gateway use.
日本語の概要は準備中です。原文の説明を表示しています。
Configure Azure API Management (APIM) as AI Gateway to secure, observe, control AI models, MCP servers, agents. Helps with rate limiting, semantic caching, content safety, load balancing. USE FOR: AI Gateway, APIM, setup gateway, configure gateway, add gateway, model gateway, MCP server, r...
日本語の概要は準備中です。原文の説明を表示しています。
Register a custom WooCommerce payment gateway — extend WC_Payment_Gateway, declare $id / $title / $supports, implement process_payment returning array(result, redirect), optionally process_refund when refunds is in supports, register via the woocommerce_payment_gateways filter. The single most-confused thing AI gets wrong is payment_complete vs update_status — payment_complete runs the canonical paid-order state machine (status, transaction id, session flag, woocommerce_payment_complete action), update_status only changes the status string. Includes the always-forgotten WC cart empty_cart call after success. Use when integrating a payment provider, reviewing gateway code, or debugging "payment succeeded but cart didn't clear" / "order stuck in pending". Triggers on WC_Payment_Gateway, woocommerce_payment_gateways, process_payment, process_refund, payment_complete, get_return_url, woocommerce_payment_complete_order_status.
日本語の概要は準備中です。原文の説明を表示しています。
OpenClaw Control UIの画面変更を、状態別の比較ギャラリーと実ブラウザの操作テストで確認し、利用者のコメントや変更前後の画像を残すスキル。
Use when connecting your agent to external APIs, tools, or services via Gateway, or restricting tool access with Cedar policies. Handles gateway setup, target types, outbound auth (OAuth, API key, IAM), credentials, and Cedar policy authoring. Triggers on: "connect to API", "add gateway", "connect to MCP server", "Lambda tools", "OpenAPI", "gateway target", "Cedar policy", "restrict tools", "policy engine", "gateway auth error", "store API key", "outbound credential", "env var API key", "API key None after deploy", "credential not available after deploy", "should this be a gateway target", "give my agent tools", "add tools to agent". Not for inbound auth (who can call your agent) — use agents-harden. Not for debugging agent behavior — use agents-debug. Not for VPC networking errors (agent can't reach APIs due to VPC) — use agents-build. Not for creating or hosting a new MCP server project — use agents-get-started.
日本語の概要は準備中です。原文の説明を表示しています。
Configures AWS Transit Gateway: creating a hub and attaching VPCs, segmenting traffic with route tables, centralizing egress and inspection through a hub (appliances or a Gateway Load Balancer endpoint), forcing east-west traffic between VPCs through AWS Network Firewall, connecting on-premises networks over the transit-gateway side of a Site-to-Site VPN or Direct Connect attachment (including ECMP to aggregate bandwidth across multiple VPN tunnels), peering transit gateways across Regions, migrating from a VPC peering mesh, and routing IP multicast. Applicable when connecting many VPCs through one router, isolating environments, forcing VPC-to-VPC traffic through a central Network Firewall, reaching on-premises over the hub, linking Regions, or moving off a peering mesh. Not applicable for single-VPC routing, VPC peering between two VPCs (vpcpeering skill), Direct Connect gateway or virtual interface setup (directconnect skill), or Route 53 DNS work.
日本語の概要は準備中です。原文の説明を表示しています。
Configures AWS Site-to-Site VPN: creating an IPsec VPN connection between an on-premises network and a VPC, choosing the target gateway (virtual private gateway, transit gateway, or AWS Cloud WAN), choosing static or dynamic (BGP) routing, sizing tunnel bandwidth (Standard 1.25 Gbps or Large 5 Gbps), connecting many sites through a VPN Concentrator, applying the customer gateway device configuration, making a connection highly available, and monitoring tunnels with CloudWatch. Applicable when the user wants to connect a data center or branch office to AWS over an encrypted tunnel, choose how routes are exchanged, scale throughput, consolidate sites, or diagnose a down tunnel. Routes to the right per-task procedure in references. Not for AWS Direct Connect (its own service), Client VPN for individual remote users, the transit gateway side of a VPN attachment (transitgateway skill), or Route 53 DNS work.
日本語の概要は準備中です。原文の説明を表示しています。
Configures AWS Direct Connect: choosing a connection model (dedicated, hosted, or a link aggregation group) and completing the cross connect; creating private, public, and transit virtual interfaces and bringing up BGP; reaching many VPCs through a Direct Connect gateway including cross-account transit gateway associations; encrypting traffic with MACsec or a private IP Site-to-Site VPN; making the connection resilient and tuning failover; managing link aggregation groups; SiteLink; and migrating from a virtual private gateway to a transit gateway. Use when the user wants a private, consistent network link between a data center and AWS, or operates an existing Direct Connect setup and needs to extend, encrypt, or harden it. Routes to the right per-task procedure in references. Do NOT use for transit gateway route tables and attachments (transitgateway skill), Site-to-Site VPN without Direct Connect (sitetositevpn skill), or Route 53 DNS routing (route53 skill).
日本語の概要は準備中です。原文の説明を表示しています。
Build, manage, and operate APIs with Amazon API Gateway (REST, HTTP, and WebSocket). Triggers on phrases like: API Gateway, REST API, HTTP API, WebSocket API, custom domain, Lambda authorizer, usage plan, throttling, CORS, VPC link, private API. Also covers troubleshooting API Gateway errors (4xx, 5xx, timeout, CORS failures) and IaC templates containing API Gateway resources. For general REST API design unrelated to AWS, do not trigger.
日本語の概要は準備中です。原文の説明を表示しています。
Build and validate Azure infrastructure in a lab or sandbox using Azure CLI and official Microsoft docs. Use when creating verification environments, provisioning hub-and-spoke VNets, VPN Gateway or ExpressRoute-adjacent validation labs, checking subscription/tenant access, debugging Azure deployment constraints, comparing before/after route behavior, or cleaning up lab resources. Triggers on 'Azure 検証', '検証環境', 'PoC', 'sandbox', 'lab', 'Azure CLI で構築', 'VPN Gateway', 'VNet peering', 'BGP', 'route validation', 'summarizedGatewayPrefixes', 'デプロイして検証', 'インフラ検証'.
Busabase-backed App-in-Skill dashboard for a shared LLM gateway's cost and model governance — daily spend trend, cost breakdown by service/model, a canary-rollout status board, and a deterministic cost/error anomaly list. Use when the user invokes $kelly-llm-gateway or /kelly-llm-gateway, or wants to review LLM gateway spend, model routing, canary rollouts, rollback readiness, or cost/error anomalies for services routed through one shared gateway to multiple LLM providers/models. Human actions (promote/rollback/hold a rollout, acknowledge an anomaly) write directly onto the route's own Busabase record — this skill never changes a real routing config.
日本語の概要は準備中です。原文の説明を表示しています。
Hermes Agent CLI リファレンス。 インストール、CLI コマンド (chat, model, gateway, config, skills, cron, webhook, mcp, profile)、 Configuration (Terminal Backends, Memory, TTS / STT, Compression, Display, Auxiliary Models)、 Features (Tools, Skills, MCP, Memory, Voice Mode, Personality, Context Files)、 Messaging Gateway (14+ プラットフォーム)、Security、Architecture、 Platform Support、Nous Portal 連携 (Tool Gateway)。
OpenClawのプラグインを公開前に検証し、導入・削除、設定修復、起動、SDK互換性や配布パッケージの動作を確認して、結果と未検証項目を整理するスキル。