Results for “workflow-execution”

Build serverless background jobs, event-driven workflows, and durable execution with Inngest, without managing queues or workers.

Generates detailed, technology-agnostic implementation blueprints by analyzing project architecture, technology stacks, and data flow patterns.

Quick Flow

runtime-and-process

Implement custom AEM Workflow Java components on AEM 6.5 LTS, including WorkflowProcess and ParticipantStepChooser with OSGi registration, metadata handling, and error patterns.

Routes user requests to specialist skills for AEM 6.5 LTS workflow model design, custom step development, launcher configuration, triggering, debugging, and triaging.

Guides architecture decisions, flow type selection, bulk safety validation, and fault handling standards for Salesforce Flow design and review.

Guides a structured feature-development workflow: explore the codebase with subagents, draft a plan for approval, implement step by step, verify with parallel checks, and record conventions.

Manages spec-driven development with OpenSpec. Use when creating change proposals, planning features, implementing from specs, or archiving completed changes. Triggers on "proposal", "change", or "spec" with "create", "plan", "make", or "help".

Automate project management workflows in Shortcut -- create stories, manage tasks, track epics, and organize workflows through natural language commands.

Executes a written implementation plan in a separate session, reviewing it critically, running tasks with verification, and stopping to ask for help when blocked.

Imported skill workflows from anthropic

Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.

Conduct time studies for process efficiency analysis. TRIGGERS - Use when user needs help with time-study related tasks.

Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.

Execute the next incomplete step (or full phase with --phase), ship the result, and prepare the next step

queue-usage

Trigger.dev expert for background jobs, AI workflows, and reliable async execution with excellent developer experience and TypeScript-first design. Use when: trigger.dev, trigger dev, background ta...

Operations, debugging, and optimization for DAG workflows. Performs root cause analysis on failures, profiles execution performance, aggregates results from parallel branches, bridges context between nodes, and learns patterns from execution history. Activate on "DAG failed", "why did it fail", "root cause", "performance profile", "aggregate results", "merge branches", "execution patterns", "optimize DAG". NOT for planning DAGs (use dag-planner), executing DAGs (use dag-runtime), or validating outputs (use dag-quality).

Guides AI agents through engineering workflows with eval-first execution, task decomposition, cost-aware model routing, and review focus for generated code.

Write, review, debug, or test Python Xarray workflows for labeled N-dimensional DataArray and Dataset operations, including coordinates, alignment, indexing, groupby, resample, rolling, weighted reduction, Dask-backed execution, and NetCDF/Zarr I/O.