# Agently Triggerflow Orchestration

> Event-driven TriggerFlow orchestration patterns and branching.

- Skill: `agentera/agently-triggerflow-orchestration` (Agent Skill, multi-file: 8 files)
- Install (CLI): `npx skillmds@latest add agentera/agently-triggerflow-orchestration`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentera/agently-triggerflow-orchestration/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: agentera (https://skillmd.com/u/agentera)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/agentera/agently-triggerflow-orchestration

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# Agently TriggerFlow Orchestration Skill

Use this skill for event-driven orchestration, branching, and runtime_data/collect flows.

## Key Patterns
- Define named chunks, then connect with `to()` / `when()` / `collect()`.
- Use `runtime_data` for per-execution state.
- Use `batch()` or `for_each()` for fan-out work.

## Pitfalls to Avoid (Lessons from NexusTodo)
- Prefer a simple ReAct loop if only sequential tool calls are needed.
- Use TriggerFlow when you truly need branching or event-driven orchestration.

## References
- `examples/standard_trigger_flow_usage.py`
- `examples/triggerflow_emit_when_collect.py`
- `examples/triggerflow_runtime_data_collect.py`
- `examples/plan_execute_basic.py`
- `examples/iterative_refinement_loop.py`

## Examples
See `examples/run.sh` for runnable commands.