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agent
找到 19 个相关结果 / 部署与云服务
自动化与集成 / 自动执行
apify-actorization
apify-actorization
将现有项目转换为 Apify Actor —— 无服务器云程序。Actor 化 JavaScript/TypeScript(使用包含 Actor.init/exit 的 SDK)、Python(异步上下文…
自动化与集成 / 自动执行
flowstudio-power-automate-build
flowstudio-power-automate-build
Build, scaffold, and deploy Power Automate cloud flows using the FlowStudio MCP server. Your agent constructs flow definitions, wires connections, deploys, and tests — all via MCP without opening the portal. Load this skill when asked to: create a flow, build a new flow, deploy a flow definition, scaffold a Power Automate workflow, construct a flow JSON, update an existing flow's actions, patch a flow definition, add actions to a flow, wire up connections, or generate a workflow definition from scratch. Requires a FlowStudio MCP subscription — see https://mcp.flowstudio.app
自动化与集成 / 自动执行
自动化 WhatsApp
automate-whatsapp
使用 Kapso 工作流构建 WhatsApp 自动化:配置 WhatsApp 触发器、编辑工作流图、管理执行、部署函数,以及使用…
自动化与集成 / 自动执行
cloud
cloud
Documentation reference for using Browser Use Cloud — the hosted API and SDK for browser automation. Use this skill whenever the user needs help with the Cloud REST API (v2 or v3), browser-use-sdk (Python or TypeScript), X-Browser-Use-API-Key authentication, cloud sessions, browser profiles, profile sync, CDP WebSocket connections, stealth browsers, residential proxies, CAPTCHA handling, webhooks, workspaces, skills marketplace, liveUrl streaming, pricing, or integration patterns (chat UI, subagent, adding browser tools to existing agents). Also trigger for questions about n8n/Make/Zapier integration, Playwright/ Puppeteer/Selenium on cloud infrastructure, or 1Password vault integration. Do NOT use this for the open-source Python library (Agent, Browser, Tools config) — use the open-source skill instead.
自动化与集成 / 自动执行
sf-datacloud
sf-datacloud
Salesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase `sf data360` workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching sf-datacloud-* skill), the task is STDM/session tracing/parquet telemetry (use sf-ai-agentforce-observability), standard CRM SOQL (use sf-soql), or Apex implementation (use sf-apex).
自动化与集成 / 自动执行
ssh
ssh
SSH remote access patterns and utilities. Connect to servers, manage keys, tunnels, and transfers.
自动化与集成 / 自动执行
n8n
n8n
Develop workflows, custom nodes, and integrations for n8n automation platform
自动化与集成 / 自动执行
数据湖数据摄取
ingesting-into-data-lake
将数据导入 AWS 数据湖,支持从 S3 文件、本地上传、JDBC 数据库(Oracle、SQL Server、PostgreSQL、MySQL、RDS、Aurora)、Amazon Redshift、Snowflake、BigQuery、DynamoDB 或现有 Glue Catalog 表(迁移)。默认目标为 S3 Tables;未采用 S3 Tables 时支持通用存储桶上的标准 Iceberg。处理一次性加载、周期性管道、迁移。触发场景:导入数据、加载数据、摄取、同步数据库、迁移表、将数据迁移至 AWS、设置管道、ETL、从 Snowflake 拉取、将 BigQuery 查询结果写入 S3、导出 DynamoDB、CTAS、转换为 Iceberg。请勿用于设置或排查 Glue 连接(使用 connecting-to-data-source)、创建空表(使用 creating-data-lake-table)、运行查询(使用 querying-data-lake)、模糊搜索表名(使用 finding-data-lake-assets)、Catalog 审计(使用 exploring-data-catalog),或 Salesforce、ServiceNow、SAP、MongoDB、Kafka 等 SaaS 平台。
自动化与集成 / 自动执行
stream-chain
stream-chain
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
自动化与集成 / 自动执行
flow-nexus-swarm
flow-nexus-swarm
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
自动化与集成 / 自动执行
databricks-lakebase
databricks-lakebase
Databricks Lakebase Postgres: projects, scaling, connectivity, Lakebase synced tables, and Data API. Use when asked about Lakebase databases, OLTP storage, or…
自动化与集成 / 自动执行
dnanexus-integration
dnanexus-integration
DNAnexus cloud genomics platform. Build apps/applets, manage data (upload/download), dxpy Python SDK, run workflows, FASTQ/BAM/VCF, for genomics pipeline…
自动化与集成 / 自动执行
automate-whatsapp
automate-whatsapp
Build WhatsApp automations with Kapso workflows: configure WhatsApp triggers, edit workflow graphs, manage executions, deploy functions, and use…
自动化与集成 / 自动执行
send-data
send-data
Sending telemetry data to Grafana Cloud — metrics via Prometheus remote write or OTLP, logs via Loki push or Alloy, traces via OTLP to Tempo, profiles via Pyroscope. Covers Alloy-based pipelines, direct SDK/agent integrations, cloud integrations catalog, and credentials management. Use when connecting an application or infrastructure to Grafana Cloud, setting up data ingestion, configuring remote write, or choosing between ingestion methods.
自动化与集成 / 自动执行
ml-ai
ml-ai
Grafana Cloud AI and ML features — Grafana Assistant (natural language queries, dashboard generation, incident investigations), Dynamic Alerting (ML forecasting and outlier detection), Sift (automated root cause analysis with 8 analysis types), Knowledge Graph (entity discovery and RCA Workbench), and the LLM Plugin (OpenAI/Anthropic/Azure integration). Use when setting up AI-powered alerting, using natural language to query metrics/logs, automating incident investigation, or integrating LLMs with Grafana panels and workflows.
自动化与集成 / 自动执行
browser-scrape
browser-scrape
browser-scrape — an installable skill for AI agents, published by ruvnet/ruflo.
自动化与集成 / 自动执行
browser
browser
Headless browser automation via agent-browser — Rust CLI daemon with persistent auth profiles for fast, scriptable, parallel browser work. Supports batch…
自动化与集成 / 自动执行
aws-well-architected
aws-well-architected
AWS Well-Architected integration. Manage data, records, and automate workflows. Use when the user wants to interact with AWS Well-Architected data.
自动化与集成 / 自动执行
hooks-automation
hooks-automation
Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks,…