agently-triggerflow

Name: agently-triggerflow
Availability: InStock
Author: AgentEra

Orchestrate complex workflows with branching, pause/resume, and retry semantics.

23|2|Updated Mar 11, 2026

Search Tags:#workflow orchestration #concurrency #branching #execution semantics #multi-step loops

Ready to run

npx skills add https://github.com/AgentEra/Agently-Skills --skill agently-triggerflow

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agently-triggerflow
Source: https://github.com/AgentEra/Agently-Skills/tree/main/skills/agently-triggerflow
Command: npx skills add https://github.com/AgentEra/Agently-Skills --skill agently-triggerflow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires agently, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of orchestrating complex workflows that require branching, concurrency, and restart-safe execution, providing a robust solution for managing multi-stage processes.

Core Features & Use Cases

Workflow Orchestration: Supports branching, concurrency, approvals, waiting, and resume, enabling the creation of intricate workflows.
Execution Semantics: Offers a clear orchestration layer for multi-step loops, approval waits, retry, replan, and verification.
Use Case: Ideal for scenarios such as resumable approval flows, branching automation, mixed sync/async pipelines, and process clarity refactors.

Quick Start

Use the agently-triggerflow skill to create a workflow that branches based on user input and executes concurrently.

Frequently Asked Questions about agently-triggerflow

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I handle workflow orchestration with branching and concurrency in Python?▼

You can handle workflow orchestration with branching and concurrency by using async-first handlers to define explicit stages. This approach enables simultaneous execution paths while maintaining structured process boundaries and clear execution semantics.

Can I pause and resume a multi-step workflow after an approval wait?▼

Yes, you can pause and resume a multi-step workflow during approval waits using restart-safe execution topology. This ensures the workflow state persists securely until the approval is received and execution resumes seamlessly.

What is the best way to manage retry and replan semantics in complex automated pipelines?▼

The best way to manage retry and replan semantics is through a dedicated orchestration layer that handles execution retries automatically. This allows complex automated pipelines to dynamically replan steps upon failure without losing prior progress.

Does workflow orchestration here work without installing the Agently framework?▼

No, this workflow orchestration requires the Agently framework and Python code to function. The framework provides the necessary async execution APIs and foundational structure required to implement the branching and concurrency handlers.

How do I refactor mixed sync and async pipelines for better process clarity?▼

You refactor mixed sync and async pipelines by moving them into an orchestration layer with explicit stages. This separates execution semantics from business logic, providing clear process clarity and enabling robust multi-step loop management.