- name
- workflow-chain
- description
- Chain multiple skills and actions into named workflows with error handling and conditional branching.
- version
- 1.0.0
- metadata
- {"echo":{"tags":["Workflow","Automation","Chain","Pipeline","Orchestration"]}}
# Workflow Chain
Orchestrate multi-step workflows by chaining skills and actions.
## Workflow Definition
Workflows are YAML files in `~/.echo-agent/workflows/`:
```yaml
name: morning-routine
trigger: cron "0 8 * * *"
steps:
- id: get_weather
skill: weather
input: {location: "Beijing"}
- id: get_todos
skill: reminder
action: due
- id: compose
skill: daily-briefing
input:
weather: "{{get_weather.output}}"
todos: "{{get_todos.output}}"
- id: deliver
action: send
channel: telegram
content: "{{compose.output}}"
```
## Security
**Only run trusted workflow files.** The engine runs the commands listed in the
JSON workflow definition. Never run workflow files from untrusted sources
(downloads, user uploads, model-generated content) without manual review.
Each `command` is parsed with `shlex` and executed as a single program with a
fixed argument list — **shell syntax is not interpreted**. `;`, `&&`, `|`, `>`
and `$(...)` are passed through as literal arguments, so one step cannot chain
into another command. A step that genuinely needs a pipeline or redirection has
to ask for a shell explicitly:
```json
{"command": "sh -c 'grep ERROR app.log | wc -l > count.txt'"}
```
Writing it that way keeps the intent visible in the workflow file instead of
every step carrying implicit shell power.
## Features
- **Variable interpolation**: `{{step_id.output}}` references previous step results
- **Conditional steps**: `when: "{{get_weather.temp}} < 5"`
- **Error handling**: `on_error: skip | abort | retry(3)`
- **Parallel steps**: `parallel: [step_a, step_b]`
## Built-in Templates
### Research Pipeline
```yaml
name: research-pipeline
steps:
- {id: search, skill: web-search, input: {query: "{{topic}}"}}
- {id: extract, skill: web-extract, input: {urls: "{{search.top_urls}}"}}
- {id: report, skill: deep-research, input: {content: "{{extract.output}}"}}
```
### Morning Routine
```yaml
name: morning-routine
trigger: cron "0 8 * * *"
steps:
- {id: weather, skill: weather, input: {location: "Beijing"}}
- {id: briefing, skill: daily-briefing}
- {id: send, action: send, channel: auto, content: "{{briefing.output}}"}
```
## Script
```bash
python3 scripts/workflow_engine.py run workflow.json # run a workflow from JSON file
python3 scripts/workflow_engine.py inline "echo hello" "echo done" # chain commands inline
python3 scripts/workflow_engine.py template --output my-workflow.json # generate a template
```
Workflow JSON format:
```json
{
"name": "my-workflow",
"stages": [
{"name": "build", "mode": "sequential", "steps": [{"command": "echo build"}]},
{"name": "test", "mode": "parallel", "steps": [{"command": "echo t1"}, {"command": "echo t2"}]}
]
}
```
## Triggers
| Type | Example |
|------|---------|
| Cron | `cron "0 8 * * *"` |
| Keyword | `keyword "生成报告"` |
| Manual | `manual` |
| Event | `event "new_message"` |
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