DevOps & Infra

sheshiyer Skill

Set up Tauri CI/CD with GitHub Actions and tauri-action for cross-platform desktop builds. USE WHEN automating Tauri build, test, or release across Windows/macOS/Linux, configuring workflow triggers, or publishing signed releases.

mturac Skill

Use this skill to monitor and verify a deployed URL or public OSS launch surface after releases — checks HTTP endpoints, SSE streams, static assets, console errors, performance regressions, PR queue health, maintainer feedback, and listing-review blockers after deploys, merges, submissions, or dependency upgrades. Smoke / canary / post-deploy / PR-watch verification.

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Cross-check AWS-facing code and docs against official ROSA and AWS references before changing behavior.

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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.

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Full CLI test pipeline — monitor CI for types/lint, then run local binary test, then run bundled binary test via CI.

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Use the HyperFrames CLI development loop: init, add, catalog, capture, lint, check, snapshot, compare, grade-compare, preview, play, present, beats, keyframes, single or batch render, publish, cloud, cloudrun, feedback, lambda, doctor, browser, info, upgrade, skills, compositions, docs, benchmark, telemetry, transcribe, auth, tts, and remove-background. Also use when diagnosing build or render failures. validate, inspect, and layout are deprecated aliases; use check. Covers local, HeyGen-hosted cloud, AWS Lambda, and Google Cloud Run rendering.

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AI image generation with OpenAI GPT Image 2, Azure OpenAI, Google, OpenRouter, DashScope, Z.AI GLM-Image, MiniMax, Jimeng, Seedream and Replicate APIs. Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files. Sequential by default; use batch parallel generation when the user already has multiple prompts or wants stable multi-image throughput. Use when user asks to generate, create, or draw images.

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Write end-to-end tests for CLI commands using the Docker-based test framework in ts/e2e-tests/cli/.

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Agent Platform Model Tuning. Use when you need to fine-tune open models or Gemini models using Agent Platform infrastructure. Don't use for model training outside Agent Platform, model deployment to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management`).

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Locates and loads the right Google product skill on demand from a remote catalog index, instead of preloading every skill. Use at the START of any request touching a Google product, API, or developer platform - including Google Cloud (GKE, Cloud Run, IAM, BigQuery, Vertex AI, Spanner), Google Ads, Google Analytics, Google Workspace (Gmail, Drive, Admin SDK), Chrome and Chrome extensions, Android, Firebase, YouTube, Google Maps, Gemini and the Gemini API, Google Play, and Flutter. Consult the index before answering from memory or searching the web. Don't use for non-Google products.

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Shipyard's governed delivery pipeline — converge the mission, synthesize a durable spec, decompose vertical-slice tickets with blocking edges, run the frontier in parallel via team, close with verification, and report with a full decision log. Two entry gates — the yard gate (drydock audit) and the fog gate (an effort whose destination is unclear is routed to /ask-navigator before this pipeline starts). Humans own the checkpoints where there is no unique answer or the error cost is severe; agents continuously run everything repeatable and acceptable-by-evidence.

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Configures GKE edge networking, traffic routing, load balancing, and private service endpoints. Use when configuring Gateway API manifests, standard Ingress, Cloud Armor WAF security policies, Container-Native Load Balancing (NEGs), Private Service Connect (PSC), or Google-managed SSL certificates on GKE. Don't use for core cluster IP planning, Dataplane V2 network policies, or node NAT egress (use gke-networking instead).

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Translates Snowflake dbt SQL models to Standardized BigQuery SQL. Handles SQL compilation, Jinja macro placeholder masking, BigQuery Translation Service migration workflows, AST-based config transformations, explicit type casting, JSON extraction standardization, and deduplication. Use when migrating Snowflake dbt pipelines or models to Google Cloud BigQuery. Don't use for generic BigQuery queries or non-Snowflake SQL migrations.

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Ideation domain specialist: Lean Canvas assembly, SPEC decomposition list extraction, and Diverge-Converge pipeline for product proposal generation. Use during /moai brain Phase 2 (Diverge), Phase 4 (Converge), and Phase 6 (Proposal).

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Connects to and performs inference with Google Cloud Agent Platform GenAI models, including First-Party Gemini models and Third-Party OpenMaaS models (Llama, DeepSeek, Qwen, etc.). Use when asked to perform inference, ask a model a question, run a test prompt, execute chat completions, or generate code for calling Gemini or OpenMaaS models, authenticate with GenAI SDK, OpenAI SDK, or legacy Agent Platform SDK, configure base URLs and global/regional endpoints, or troubleshoot 429 Resource Exhausted (DSQ), 400 User Validation, or 404 Not Found errors. Don't use for deploying models to endpoints or for running model evaluations.

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MoAI-ADK harness pattern library — unified domain knowledge covering hook/CI dispatch (PostToolUse, SessionStart, GitHub Actions, release automation), workflow patterns (SPEC structure, EARS, MX tags, plan-run-sync pipeline), and Go quality gates (testing, linting, coverage, race detection, LSP). Use for moai-adk-go harness work — NOT for general MoAI agent patterns (see moai-foundation-cc).

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Interactively edit Basic Memory notes using MCP tools - view, modify, and update notes in a conversational workflow (works with cloud and local)

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Diagnoses and fixes conflicts between Tailscale and proxy/VPN tools (Shadowrocket, Clash, Surge, OrbStack/Docker) on macOS — route hijacking, HTTP proxy env vars, system proxy bypass, SSH ProxyCommand double-tunneling, VM/container proxy propagation, and stalled macOS DNS resolution. Use when Tailscale ping works but SSH/HTTP times out, browser returns 503 but curl works, git push fails with "failed to begin relaying via HTTP", Docker pull/build times out behind TUN/VPN, setting up Tailscale SSH to WSL, bootstrapping remote dev over Tailscale, ssh/curl/git hang ~60s before resolving a hostname while nslookup returns instantly, ping to a resolver IP works but dig to the same IP times out, ssh -vvv freezes at "debug2: resolving" without reaching "debug1: connect", or raw probes give impossibly-fast results under a TUN proxy (nc -z 0.00s, sub-ms ping to overseas nodes, or an IP-geo lookup reporting the proxy exit instead of your real home/ISP — the TUN fabricates locally).

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Guides users through discovering their database requirements, recommends a Google Cloud database based on a recommendation matrix, and assists in database creation. Use when a user asks 'What database service should I use?', 'Help me pick a database', or when a user wants to create a new database on Google Cloud. Don't use for general Google Cloud maintenance, managing existing databases, or database migrations.

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Troubleshoots infrastructure deployment failures. Use when analyzing deployment failures of ADC applications or direct/raw Terraform deployment errors. Don't use for design, local validation, plan assessment, or non-deployment troubleshooting.

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moai-adk-go domain-patterns reference for the 4 harness specialists (cli-template-specialist, quality-specialist, workflow-specialist, hook-ci-specialist). Covers the CLI/template/config/hook/spec subsystem architecture, key source paths, the Pipeline specialist delegation map, the Template-First build cycle, the namespace separation contract, and common add-a-template / add-a-hook / add-an-agent / add-a-SPEC workflows. Loaded by the specialists when working on moai-adk-go's own Go codebase and templates.

javimosch Skill

Persistent memory system with security for AI agents. Remembers decisions, preferences, architecture, and context across sessions with knowledge graphs, decay, contradiction detection, and a 6-layer defence pipeline with Iron Dome behavioural protection. Use when asked to "remember this", "what do we know about", "recall context", "scan for threats", "run security audit", "check memory stats", or when starting a new session and needing prior context.

javimosch Skill

Automated monthly photo-to-Mixtiles pipeline. Collects photos from a WhatsApp group, curates the best ones using vision, builds a multi-photo Mixtiles cart link, and sends it. Use when it's time for the monthly Mixtiles order, when asked to "run the monthly tiles", "collect family photos for tiles", or on the monthly cron trigger.

javimosch Skill

OpenClaw - Arcane Docker Management Skill

javimosch Skill

Control Android cloud phones via ADB broadcast commands - tap, swipe, type, screenshot, read UI elements. Requires DuoPlus CloudPhone service running on the device.

caishengold Skill

当需要撰写云架构方案、迁移文档、云服务选型报告时使用。当用户提到"云架构"、"AWS"、"Azure"、"GCP"、"cloud architecture"、"迁移方案"时应触发此技能。

caishengold Skill

当需要编写CI/CD流水线文档、运维手册、IaC配置说明时使用。当用户提到"DevOps"、"CI/CD"、"运维手册"、"Terraform"、"Kubernetes"时应触发此技能。

caishengold Skill

当需要编写基础设施监控报告、容量规划、SLA报告时使用。当用户提到"基础设施报告"、"SLA报告"、"容量规划"、"监控报告"时应触发此技能。

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Operational traps for Terraform provisioners, multi-environment isolation, and zero-to-deployment reliability. Use when writing null_resource / remote-exec / local-exec / file provisioners, setting up fresh instances with cloud-init, or any IaC code that SSHs into remote hosts; when creating multi-environment Terraform setups (DNS record duplication, snapshot cross-contamination); or when debugging containers that are Restarting/unhealthy after terraform apply. Also when the user mentions terraform plan/apply errors, provisioner failures, infrastructure drift, TLS certificate errors, Cloudflare credential format, or Caddy/gateway / Caddyfile / compose configuration.

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Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when evaluating an agent or model, building an eval dataset, picking or writing evaluation metrics, analyzing failures, comparing results before and after a fix, or when guidance is needed on Agent Platform eval methodology — including dataset schema, LLM-as-judge scoring, and common failure causes. For fine-tuning, use agent-platform-tuning. For general production deployment, use agent-platform-deploy.

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CLI/Template domain knowledge for moai-adk-go covering cobra commands, go:embed template system, YAML config, and template rendering pipeline.

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Use when working on the translation pipeline (`src/scripts/intl-pipeline/`), the post-import sanitizer (`intl-sanitizer.ts`), the `intl/pending-*` branches, the `intl-pipeline.yml` GitHub Actions workflow, ETHGlossary integration, or any translation-related issue (broken translations, missing locales, manifest drift, sanitizer false positives, ETHGlossary term lookups, language-group transliteration questions). Provides the manifest-driven incremental pipeline mental model, the "don't hand-propagate" rule, recovery procedures, the ETHGlossary-as-canonical-source policy, and the `intl/pending-{base}` orchestration contract.

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Troubleshoots Google Cloud Gemini Enterprise Agent Platform issues (Agent Gateway, Registry, Identity, Policies, Model Armor, Identity-Aware Proxy (IAP)). Use when agent requests fail with 403 (especially unauthorized egress), Agent Runtime queries return 500, or gateway/IAP logs show permission errors. Don't use for general Google Cloud Identity and Access Management (IAM) debugging or networking issues unrelated to the Agent Platform stack.

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Searches, retrieves, and synthesizes official Google developer documentation across Google Cloud, AI/Gemini, Android, Chrome, Web, Flutter, Go, Firebase, and other Google developer platforms. Integrates with the Developer Knowledge MCP server (search_documents, get_documents, answer_query) or the Developer Knowledge REST API fallback. Use when searching for gcloud CLI commands, API syntax, IAM permissions, official documentation, architectural comparisons, or product choice overviews. Don't use for local filesystem lookups or non-Google documentation.

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Create and manage SQL database in Fabric items, author T-SQL DDL/DML with constraints, foreign keys, triggers, indexes, and vector columns. Deploy schema via SqlPackage (.dacpac/.bacpac), configure source control, CI/CD, and GraphQL APIs. Triggers: "sql database in Fabric create table sqlcmd ddl", "sql database in Fabric primary key default getdate sqlcmd", "create sqldb item", "create table sqldb ddl", "sqldb foreign key constraint", "sqldb stored procedure", "sqldb trigger create", "sqldb vector column", "SqlPackage dacpac deploy sqldb", "bacpac sqldb", "sqldb source control", "graphql api sqldb", "sqldb collation set", "sp_invoke_external_rest_endpoint".

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Execute authoring T-SQL (DDL, DML, data ingestion, transactions, schema changes) against Microsoft Fabric Data Warehouse and SQL endpoints via the MCP `fabric-sqlendpoint-execute_query` tool. Use when the user wants to: (1) create/alter/drop tables, (2) insert/update/delete/merge data, (3) run COPY INTO or OPENROWSET ingestion, (4) manage transactions or stored procedures, (5) perform schema evolution, (6) use time travel or snapshots, (7) generate ETL/ELT workflows, (8) create views/functions/procedures on Lakehouse SQLEP. Triggers: "create table in warehouse", "insert data via T-SQL", "load from ADLS", "COPY INTO", "run ETL with T-SQL", "alter warehouse table", "upsert with T-SQL", "merge into warehouse", "create T-SQL procedure", "warehouse time travel", "recover deleted warehouse data", "create warehouse schema", "deploy warehouse", "transaction conflict", "snapshot isolation error".