481 skills · sorted by relevance
Manage KubeSphere’s Traefik-based Gateway API extension for external access to applications. Install, upgrade, or remove it across selected clusters, and inspect GatewayProxy resources, which manage proxy instances, to investigate deployment failures and unhealthy gateways.
Install, upgrade, and remove the ingress-nginx-based KubeSphere Gateway extension, which manages external access to applications. Inspect gateways across cluster, workspace, and project scopes, and investigate stalled operations, Helm installation failures, or pod problems.
Modify and troubleshoot services managed by s6, a process supervisor, inside the Hermes Docker image. Trace startup scripts, inspect profile gateways, add static services, and investigate restart failures or file ownership problems.
Diagnose unreachable or unhealthy OpenShell gateways and sandbox startup failures. Identify the underlying execution platform, then examine logs, authentication, certificates, and configuration with the matching tools to narrow down the cause.
Update a live OpenClaw checkout on macOS, then verify its Gateway and local app. Investigate automated check failures, repair them through focused pull requests, and run release validation without publishing a release.
Investigate OpenClaw Gateway failures using read-only checks of configuration, credential references, channels, logs, and ports. Produce findings supported by evidence and recommend a next action without changing configuration or restarting services.
Check whether an OpenClaw release is fully available by comparing publication records, package provenance, test evidence, and live Gateway behavior against the requirements for its regular or extended-stable release track.
Update an existing local or remote OpenClaw Gateway through its established deployment workflow. Identify the responsible updater, follow restart and recovery procedures, and verify that the intended version is serving and configured connections work.
Configure authentication and per-project request limits for Google Cloud API Gateway. Secure access to Cloud Run backends, validate quota changes against existing configurations, and investigate HTTP 429 or Service Control Quota errors, including on MCP-enabled gateways.
Prepare an OpenClaw release candidate for human testing using an isolated OCM copy or an approved existing Gateway. Guide testing, organize feedback, and prepare reports for review while the tester operates interactive features and judges quality.
Analyze access logs from AWS API Gateway, Kong, and Nginx with pandas, a Python data analysis library. Examine resource access patterns, authentication failures, and suspicious requests to investigate API abuse and inform detection rules.
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...
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Plan and run pre-release checks for OpenClaw plugins, covering installation, removal, configuration repair, startup, external plugin compatibility, and packaged releases. Record test evidence, failures, and skipped checks to show what has been verified.
Review and test OpenClaw Control UI changes with galleries of screen states and real browser flows. Use simulated Gateway responses to check behavior consistently, collect feedback, and capture screenshots or videos as evidence.
Expose REST APIs as tools for AI agents through Google Cloud API Gateway using MCP, a protocol for connecting agents to tools. Covers OpenAPI migration, authentication, client connections, validation, and troubleshooting.
Design security controls for Google Cloud Agent Gateway, covering incoming client requests and outgoing agent tool calls. Produce architecture diagrams, configuration files, deployment commands, and validation scripts using Model Armor, IAP, and Agent Registry.
Investigate 403 and 500 errors in Google Cloud Gemini Enterprise Agent Platform. Examine logs, registered destinations, agent identities, and authorization policies to produce a diagnostic report with evidence, recommended fixes, and verification steps.
Build the native MSIX isolated-session Gateway from npm latest, a published packaging release with -GatewayChannel Packaged, or explicit openclaw sources. Register it beside the Store Gateway and run Companion with OPENCLAW_NATIVE_GATEWAY_DEV_PATCH. Use for native Gateway development, release-channel compatibility, unreleased source changes, or removing a development Gateway.
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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.
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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.
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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...
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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.
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Build AWS applications that run without managing servers directly. Covers Lambda functions, APIs, DynamoDB storage, message-driven workflows with SQS/SNS, deployment through SAM/CDK, and reducing the delay when a function starts for the first time.
Configure email security gateways to detect targeted phishing messages. Set up sender impersonation protection, link checks, isolated attachment analysis, and custom rules, then validate quarantine actions and alerts for suspected attacks.