Cloud, CI/CD, monitoring, and deployment (7.3K skills)
Plan, implement, or review google cloud waf operational excellence work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests google cloud waf operational excellence work.
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Plan, implement, or review google cloud waf reliability work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests google cloud waf reliability work.
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Plan, implement, or review azure role selector work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests azure role selector work.
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Set up, check, stop, or delete a retalk relay server (retalk-server). Use when the user needs their OWN relay rather than an existing URL. Invoke as `relay setup`, `relay ping`, `relay stop`, or `relay delete`. Uses AskUserQuestion to pick the host (Local / Local+Cloudflare / Hugging Face / GCP) and gather settings.
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Deploys Serverless OpenClaw CDK stacks to AWS. Handles SecretsStack parameter injection, full/individual stack deployment, and Docker image push.
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References Serverless OpenClaw cost optimization guidelines. Validates that no resources exceeding the cost target ($1/month) are created during implementation. Use when writing CDK stacks or making infrastructure changes.
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Runs solo-maintainer release work end-to-end: release readiness review, notes, tags, GitHub release creation, deploy workflow dispatch, and post-release verification. Auto-executes unless the shared suspicious-change policy is triggered.
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Internal — for Boundless team members only. Help developers deploy Boundless AWS infrastructure to the dev environment. Use when the user wants to deploy a service to dev, bootstrap their dev environment, troubleshoot infrastructure issues, or understand what env vars a service needs. Also handles teardown and status checks.
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Internal — for Boundless team members only. Query AWS CloudWatch logs for Boundless services (provers, slasher, distributor, order stream, order generator, indexer, signal) on prod/staging environments. Use when the user asks to look at service logs, debug service behavior from log output, search logs for a request ID, or investigate errors using CloudWatch. Do NOT use for debugging local code changes, reviewing PRs, or investigating issues in the codebase itself.
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Internal — for Boundless team members only. Deploy Boundless infrastructure to a new blockchain. Creates Pulumi stacks, config files, updates ChainId enum, and wires CI/CD pipelines for staging and prod environments. Use when adding a new chain, deploying to a new network, or setting up new chain infrastructure.
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Internal — for Boundless team members only. Monitor Boundless deployment pipelines (AWS CodePipeline + CodeBuild) on the ops account. Use when the user wants to track a deployment after merging a PR, check whether a commit has rolled out to staging/prod, diagnose a failed deployment, watch the status of a specific pipeline, or get prompted to approve a production rollout once staging succeeds. Do NOT use for service runtime debugging (use ops-logs-query) or for deploying dev infrastructure (use ops-infra-deploy).
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Set up and deploy a Boundless prover to a GPU server using Ansible. Handles inventory setup, SSH connectivity, NVIDIA drivers, Docker, and the full bento stack. Use when deploying a new prover, redeploying to an existing server, or troubleshooting prover infrastructure.
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Internal — for Boundless team members only. Query the Boundless Indexer REST API for on-chain market data, staking, PoVW rewards, delegations, and market efficiency on prod/staging environments. Use when the user asks about proof requests, provers, requestors, staking data, PoVW rewards, delegations, market aggregates, leaderboards, or wants to fetch data from the indexer API on live networks. Also use when the user mentions "indexer" and wants to look up addresses, requests, or market statistics on deployed environments. Do NOT use for debugging local code changes, reviewing PRs, or investigating issues in the codebase itself.
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Submit proof requests on the Boundless ZK proof marketplace. Covers wallet setup, CLI configuration, building or discovering guest programs, self-hosting via Cloudflare Quick Tunnels (no Pinata/S3 needed), submitting, and retrieving results. Use when a developer wants to request a ZK proof, submit a proof request, get started with Boundless, try Boundless, or learn the requestor workflow.
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Internal — for Boundless team members only. Cross-reference Boundless indexer API data, broker telemetry, and service logs to investigate production and staging operational issues. Use when the user wants to understand why slashings happened on prod/staging, diagnose prover or service failures in deployed environments, correlate market events with broker behavior, investigate fulfillment rate drops, look at prover/service logs, or perform any analysis that requires combining on-chain indexer data with off-chain broker telemetry and CloudWatch logs. Also use when the user asks to "investigate", "diagnose", or "find root cause" for prover, service, or market issues on live networks. Do NOT use for debugging local code changes, reviewing PRs, or investigating issues in the codebase itself.
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CesiumJS 3D Tiles - Cesium3DTileset, compressed and CAD-style glTF content, MVTDataProvider, UrlTemplate3DTilesDataProvider, styling, metadata, feature picking, voxels, point clouds, I3S, Gaussian splats, clipping. Use when a task involves loading 3D Tiles or Mapbox Vector Tiles, draping vector tiles on terrain, rendering KHR meshopt/CAD content, styling or querying features, working with voxels or point clouds, or clipping spatial data.
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Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder). Covers two workflow patterns: (1) MathWorks-native or 3P-imported models rebuilt as dlnetwork for lean hardware (Cortex-M, DSP), (2) direct C/C++ code generation from PyTorch and LiteRT models for high-performance hardware (Cortex-A, x86, GPU). Trigger when: user wants to deploy AI to embedded targets; generate C/CUDA from neural networks; compress AI models for MCU/DSP; integrate AI in Simulink for system-level simulation; import PyTorch/ONNX/TensorFlow models for embedded deployment; optimize AI for resource-constrained hardware; or use loadPyTorchExportedProgram, importNetworkFromPyTorch, dlquantizer, exportNetworkToSimulink, or Embedded Coder with AI models.
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Half-Quadratic Quantization for LLMs without calibration data. Use when quantizing models to 4/3/2-bit precision without needing calibration datasets, for fast quantization workflows, or when deploying with vLLM or HuggingFace Transformers.
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Redpanda's Agentic Data Plane: governance infrastructure for building, running, and governing AI agents and MCP servers, plus a proxying AI Gateway for LLM providers, operated via `rpk ai` and the ADP API. Use when creating or managing AI agents (managed or self-managed) via `rpk ai agent` or `AgentRegistryService`; configuring MCP servers (remote or managed catalog, code mode, auth); setting up LLM providers or querying models via `rpk ai llm`/`rpk ai model` or the AI Gateway proxy; or configuring budgets, guardrails, or Cedar access-control policies through the governance APIs. Also covers reading agent transcripts and spending insights, and wiring OAuth clients or providers to the aigw Authorization Server. For the separate rpk cloud mcp control-plane MCP server, see `/redpanda:rpk-cloud`.
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Build original LangGraph agents for Warden Protocol and prepare them for publishing in Warden Studio. Use this skill when users want to: (1) Create new Warden agents (not community examples), (2) Build LangGraph-based crypto/Web3 agents, (3) Deploy agents via LangSmith Deployments or custom infra, (4) Participate in the Warden Agent Builder Incentive Programme (open to OpenClaw agents), or (5) Integrate with Warden Studio for Agent Hub publishing.
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用 Serenity(@aleabitoreddit)的"供应链卡点逆向"投资逻辑分析股票/板块——帮你判断该怎么分析、往哪一层挖、什么会证实或证伪、值不值得投。把市场当物理系统而非代码列表,先建 thesis 再谈标的。当用户聊美股/AI 供应链/光模块(CPO/硅光/InP)/半导体/内存/NeoCloud/电力液冷/机器人等 AI 全产业链任意细分的投资分析,或主动 /serenity 时使用。
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Dokku is a self-hosted Platform-as-a-Service built on Docker that provides Heroku-like git-push deployment on your own infrastructure. With 32,000+ GitHub stars, it supports buildpacks, Dockerfiles, custom domains, SSL via Let's Encrypt, and a rich plugin ecosystem for databases, caching, and storage.
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Automates Azure OpenAI model deployment by checking capacity across regions and deploying to the best available option.
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GitLab CLI for managing issues, merge requests, CI/CD pipelines, and repositories. Use when: (1) Creating, reviewing, or merging MRs, (2) Managing GitLab issues, (3) Monitoring or triggering CI/CD pipelines, (4) Working with self-hosted GitLab instances, (5) Automating GitLab workflows from the command line. Requires GITLAB_TOKEN (recommend minimal scopes). The `glab api` command enables arbitrary API calls - use read-only tokens when possible.
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