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Edit an existing SWEny workflow using natural language instructions.
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Baseado na classificação ocupacional SOC
Verify SWEny provider credentials and connectivity. Run to diagnose configuration issues before running workflows.
Run SWEny E2E browser test workflows from .sweny/e2e/. Use when the user wants to execute end-to-end tests.
Pick up an issue and implement a fix with SWEny. Use when the user has an issue ID or URL they want resolved.
Create standard SWEny label set in your issue tracker (Linear or GitHub). Run after init to prepare your tracker for triage.
Run SWEny triage to investigate production alerts, create issues, and optionally implement fixes. Use when the user wants to analyze recent errors or alerts.
Render a SWEny workflow as a Mermaid diagram for visualization.
| name | workflow-edit |
| description | Edit an existing SWEny workflow using natural language instructions. |
| allowed-tools | Bash |
| argument-hint | <file> [instruction] |
Edit an existing workflow file using natural language instructions. The CLI applies the changes using Claude.
Use --json mode for non-interactive editing:
sweny workflow edit $ARGUMENTS --json
This outputs the updated workflow JSON to stdout. To update the file in place, pipe the output back:
sweny workflow edit .sweny/workflows/my-workflow.yml "add a notification step at the end" --json > /tmp/updated.yml && mv /tmp/updated.yml .sweny/workflows/my-workflow.yml
If the user wants an interactive refinement loop, ask them to run it directly:
Run
! sweny workflow edit <file> "your instruction"for interactive editing with a refinement loop.