部署与运维
4,382 个结果
- X Twitter Scraperdavila7X API & Twitter scraper skill for AI coding agents. Builds integrations with the Xquik REST API, MCP server & webhooks: tweet search, user lookup, follower extraction, engagement metrics, giveaway contest draws, trending topics, account monitoring, reply/retweet/quote extraction, community & Space data, mutual follow checks. Works with Claude Code, Cursor, Codex, Copilot, Windsurf & 40+ agents.
- Zarr Pythondavila7Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.
- Backport Pr AssistantcockroachdbHelp backport PRs to release branches using the backport CLI tool. Use when backporting changes that have merge conflicts requiring manual resolution.
- Gws CloudidentitygoogleworkspaceGoogle Cloud Identity: Manage identity groups and memberships.
- Recipe Deploy Apps ScriptgoogleworkspacePush local files to a Google Apps Script project.
- SupermemorysupermemoryaiSupermemory is a state-of-the-art memory and context infrastructure for AI agents. Use this skill when building applications that need persistent memory, user personalization, long-term context retention, or semantic search across knowledge bases. It provides Memory API for learned user context, User Profiles for static/dynamic facts, and RAG for semantic search.
- Add GmailgavrielcAdd Gmail integration to NanoClaw. Can be configured as a tool (agent reads/sends emails when triggered from WhatsApp) or as a full channel (emails can trigger the agent, schedule tasks, and receive replies). Guides through GCP OAuth setup and implements the integration.
- Convert To DockergavrielcConvert NanoClaw from Apple Container to Docker for cross-platform support. Use when user wants to run on Linux, switch to Docker, enable cross-platform deployment, or migrate away from Apple Container. Triggers on "docker", "linux support", "convert to docker", "cross-platform", or "replace apple container".
- DebuggavrielcDebug container agent issues. Use when things aren't working, container fails, authentication problems, or to understand how the container system works. Covers logs, environment variables, mounts, and common issues.
- CI MonitornrwlMonitor Nx Cloud CI pipeline and handle self-healing fixes automatically. Checks for Nx Cloud connection before starting.
- React PatternssrbhrReact and Next.js performance optimization guidelines from Vercel Engineering, tuned for local/offline or docker-deployed apps.
- AWS Solution ArchitectalirezarezvaniDesign AWS architectures for startups using serverless patterns and IaC templates. Use when asked to design serverless architecture, create CloudFormation templates, optimize AWS costs, set up CI/CD pipelines, or migrate to AWS. Covers Lambda, API Gateway, DynamoDB, ECS, Aurora, and cost optimization.
- Azure Cloud ArchitectalirezarezvaniDesign Azure architectures for startups and enterprises. Use when asked to design Azure infrastructure, create Bicep/ARM templates, optimize Azure costs, set up Azure DevOps pipelines, or migrate to Azure. Covers AKS, App Service, Azure Functions, Cosmos DB, and cost optimization.
- CI CD Pipeline BuilderalirezarezvaniGenerate pragmatic CI/CD pipelines from detected project stack signals — fast baseline generation, repeatable checks, environment-aware deployment stages. Use when setting up CI for a new project, refactoring existing pipelines, or standardizing deployment workflows across multiple repos.
- Customer Success ManageralirezarezvaniMonitors customer health, predicts churn risk, and identifies expansion opportunities using weighted scoring models for SaaS customer success
- Gcp Cloud ArchitectalirezarezvaniDesign GCP architectures for startups and enterprises. Use when asked to design Google Cloud infrastructure, deploy to GKE or Cloud Run, configure BigQuery pipelines, optimize GCP costs, or migrate to GCP. Covers Cloud Run, GKE, Cloud Functions, Cloud SQL, BigQuery, and cost optimization.
- Incident Commanderagent-skillsIncident Commander Skill
- Migration ArchitectalirezarezvaniZero-downtime migration planning, compatibility validation, and rollback strategy generation. Tools for system, database, and infrastructure migrations with minimal business impact. Use when planning a database migration, infrastructure cutover, system replacement, or any high-risk transition that needs explicit rollback paths.
- Observability DesigneralirezarezvaniDesign production-ready observability strategies combining metrics, logs, and traces. Includes SLI/SLO design, golden-signals monitoring, alert optimization. Use when adding observability to a new service, refactoring alerting that is too noisy, or designing an SLO program before scaling production load.
- Process MapperalirezarezvaniUse when a BizOps lead, COO, or process-improvement owner needs to document an end-to-end business process (procurement, employee onboarding, incident handoff, customer-onboarding, claims adjudication) in BPMN-style notation, measure cycle times by stage, surface where work spends most of its time waiting vs. being worked, and quantify the gap between processing time and total elapsed time.
- Quality Manager QmralirezarezvaniSenior Quality Manager Responsible Person (QMR) for HealthTech and MedTech companies. Provides quality system governance, management review leadership, regulatory compliance oversight, and quality performance monitoring per ISO 13485 Clause 5.5.2.
- Release ManageralirezarezvaniUse when the user asks to plan releases, manage changelogs, coordinate deployments, create release branches, or automate versioning.
- Runbook GeneratoralirezarezvaniGenerate operational runbooks from a service name — deployment, incident response, maintenance, and rollback workflows. Templated structure customizable per environment. Use when documenting on-call procedures for a new service, standardizing incident response across teams, or producing runbooks before launching to production.
- Senior Computer VisionalirezarezvaniComputer vision engineering skill for object detection, image segmentation, and visual AI systems. Covers CNN and Vision Transformer architectures, YOLO/Faster R-CNN/DETR detection, Mask R-CNN/SAM segmentation, and production deployment with ONNX/TensorRT. Includes PyTorch, torchvision, Ultralytics, Detectron2, and MMDetection frameworks.