Results for “flow”

Adapt Airflow workflow definitions for newer versions in Google Cloud's managed service. The skill guides checks for incompatible code and dependencies, explains required changes, and supports requested deployment and verification for Airflow 2.11.1 or Airflow 3.

• Migrate workflow definitions to Airflow 2.11.1
• Review code changes needed for Airflow 3
• Replace removed operators and outdated dependencies

Build and update Power Automate cloud flows through FlowStudio MCP, a connection that lets an agent use external tools. The skill guides workflow definitions, service connections, deployment, verification, and testing without opening the Power Automate portal.

• Build a recurring flow that sends SharePoint updates to Teams
• Add or change actions in an existing flow
• Build a flow triggered by an HTTP request

Send research and analysis tasks to a running DeerFlow instance through its HTTP API, an interface for exchanging requests. Retrieve responses, continue conversations, upload documents, and inspect available models, skills, agents, and service health.

• Delegate research and analysis to DeerFlow
• Upload documents for a conversation
• Resume an earlier conversation

Implement asynchronous work and changing data streams in Android and Kotlin Multiplatform apps using Kotlin Coroutines and Flow. Apply patterns for parallel loading, UI state updates, cancellation, error handling, and tests that check emitted values.

• Loading several data sources in parallel
• Managing screen state with StateFlow
• Handling search input delays and network retries

Build machine learning workflows that connect data checks, training, evaluation, and deployment. The skill implements experiment tracking, model version management, and automated retraining, with reproducible environments and explicit validation thresholds before models enter production.

• Automate model training and retraining workflows
• Record and compare machine learning experiments
• Build a feature store for model input data

Analyze flow cytometry data in Python by correcting fluorescence spillover and applying gates that select cell populations. Produce population counts, percentages, and fluorescence summaries, or reproduce supported FlowJo 10 workspace analyses with recorded analysis settings.

• Applying the same gating strategy to multiple FCS samples
• Reporting cell-population counts and percentages with denominators
• Reproducing supported FlowJo 10 analyses in Python

Monitor Power Automate across an organization's tenant using FlowStudio MCP's cached data. Review failure rates, run-health trends, flow and app inventories, and inactive owners to prepare health and compliance reports. Requires FlowStudio for Teams or MCP Pro+.

• Identify flows with high failure rates across the organization
• Review run-health trends over a selected period
• Inventory environments, flows, apps, and connections

Use when designing, reviewing, or debugging Salesforce Flows from an Admin perspective. Triggers: 'flow', 'automation', 'record-triggered flow', 'screen flow', 'scheduled flow', 'flow error', 'flow interview', 'before-save vs after-save', 'flow deployed as draft', 'entry criteria', 'fault connector', 'flow-meta.xml', 'FlowDefinitionView'. NOT for Flow debug mode, Run As user, or Flow test suites — use flow/flow-debugging. NOT for building an OmniStudio OmniScript — use omnistudio/omniscript-design-patterns.

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Router for the 63 SfSkills `flow` skill packages. Flow Builder: record-triggered, screen, scheduled and orchestration flows, bulkification, fault handling, limits, testing. "My flow" belongs here even when salesforce-apex also names the limit. Nightly scheduling without naming code defaults here; apex takes it when code/class/Apex is named. Flow-vs-Apex choice before anything is built: admin/process-automation-selection. Use when the request mentions Flow, Flow Builder, record-triggered flow, screen flow, scheduled flow, subflow, fault path, flow element, orchestration, Process Builder migration, Workflow Rule migration, flow limit, flow hitting SOQL limit, too many SOQL queries in a flow, flow bulkification, Get Records performance. Finds and opens the exact skill package to read; it does not contain the guidance itself.

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Automate Aero Workflow tasks through Rube MCP, a connection for agent tools. The skill finds relevant actions, verifies the service connection, and runs operations with the current input requirements supplied by Composio.

• Finding available Aero Workflow actions
• Running Aero Workflow tasks through an agent
• Processing Aero Workflow operations in bulk

Create or update saved Dynamic Workflows, JavaScript scripts that organize repeatable agent tasks. Capture task order, dependencies, and final results in a reusable file, with a slash command for running the workflow.

• Saving a repeated task as a reusable workflow
• Updating the steps in an existing workflow
• Organizing parallel tasks and dependent steps

Automate Aero Workflow tasks through Rube MCP, a connection for agent tools. The skill finds relevant actions, verifies the service connection, and runs operations with the current input requirements supplied by Composio.

• Finding available Aero Workflow actions
• Running Aero Workflow tasks through an agent
• Processing Aero Workflow operations in bulk

Connect an AI agent to Power Automate through FlowStudio MCP. This skill covers authentication, discovering available tools, reusable Python or Node.js helpers, and extracting useful data from responses too large to display directly.

• Set up authentication for a Power Automate connection
• Discover available tools for a task
• Build a reusable Python or Node.js helper

Helps create and extend Apache Airflow DAGs, workflows that define task order and dependencies, for Managed Service for Apache Airflow. Covers environment checks, version compatibility, coding practices, and local or deployed validation.

• Creating a DAG for a managed Airflow environment
• Adding tasks to an existing workflow
• Checking DAG import errors before deployment

Cross-tool decision matrix for field-update automation in Salesforce — Before-Save Flow vs After-Save Flow vs Apex Trigger vs the deprecated Workflow Rule + Field Update. Covers the recursion / re-entrancy rules, governor cost per pattern (Before-Save flow is governor-free for the same record), the order-of-execution slot each tool occupies, and the Workflow-Rule-to-Flow migration playbook for field-update actions. NOT for the full record-save order of execution — use apex/order-of-execution-deep-dive. NOT for building the record-triggered Flow once the tool is chosen — use flow/record-triggered-flow-patterns. Trigger keywords: WorkflowFieldUpdate, reevaluateOnChange, onCreateOrTriggeringUpdate, doesRequireRecordChangedToMeetCriteria, failedMigrationToolVersion, Migrate to Flow, workflow-meta.xml, field update deprecated, double writer, second trigger pass.

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Run saved workflows and check their progress, with controls to pause, resume, or cancel execution. Also run JavaScript workflows that coordinate multiple agents and resume them using a recorded run ID.

• Run a saved workflow by ID
• Check progress and individual step outcomes
• Pause, resume, or cancel an MCP workflow

Organize Power Automate flows by business impact and responsible team using FlowStudio’s cached records. Find resources without active owners, audit connections to other services, review compliance metadata, and configure notifications for failures or missing runs.

• Review flows for missing governance information
• Find resources owned by departing employees
• Audit connectors and premium license needs

Investigate failed Power Automate cloud flows through FlowStudio MCP. Inspect each action’s inputs and outputs, trace incorrect data upstream, fix expression or data issues, and replay a previous run to check the repair.

• Investigate why a cloud flow failed
• Find null values or incorrect field paths in expressions
• Inspect HTTP error response details

Analyze NetFlow v9 and IPFIX records, which summarize network connections, to spot traffic spikes, scanning, unusual outbound transfers, and periodic connections. Compare traffic against normal patterns and produce a prioritized findings report.

• Investigating sudden increases in network traffic
• Checking unusual outbound transfers for possible data theft
• Finding periodic connections to external control servers

Keep FastGPT build and test workflows aligned across GitHub Actions and Forgejo Actions. Adapt registry destinations, credentials, proxy settings, and platform-specific steps so the corresponding workflows support the internal network environment.

• Synchronizing CI changes across GitHub and Forgejo
• Adapting image builds for an internal network
• Checking pull requests for missing workflow updates

Build reusable parts for n8n workflows instead of copying shared logic. This skill guides typed inputs, consistent outputs, naming, and execution settings so workflows and AI agents can call the same processing steps.

• Sharing common logic across workflows
• Splitting a large workflow into reusable parts
• Exposing shared processing as an AI agent tool

Build reusable parts for n8n workflows instead of copying shared logic. This skill guides typed inputs, consistent outputs, naming, and execution settings so workflows and AI agents can call the same processing steps.

• Sharing common logic across workflows
• Splitting a large workflow into reusable parts
• Exposing shared processing as an AI agent tool

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

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Build Apache Airflow data pipelines with clear task dependencies and schedules. This skill guides workflow design, retries, monitoring, local testing, and production deployment, with patterns for investigating failed runs.

• Designing data pipelines and task dependencies
• Scheduling recurring batch jobs
• Testing Airflow workflows locally