Skip to content
Back to skills

Workflow Processing

ASecurity

"Route Roboflow Inference workflow CLI commands for processing

  • 247 stars
  • 0 votes
  • 0 copies
  • 3 views
  • Added September 9, 2026
businesspythonapibackend

Works with

  • cli
  • api

Security analysis

A100/100

Pro scans all 6 files and shows the line behind each finding

Scanned September 9, 2026

npx -y skills add VectorSpaceLab/AREX-Skill --skill workflow-processing --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Workflow Processing?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Workflow Processing
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/vectorspacelab-workflow-processing/badge)](https://www.skillsdirectory.com/skills/vectorspacelab-workflow-processing)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: workflow-processing
description: "Route Roboflow Inference workflow CLI commands for processing
  images, image directories, and videos, including parameter merging, output
  layout, aggregation, overwrite controls, rate limits, and API versus local
  execution."
metadata:
  disco-role: operating
disable-model-invocation: true
license: NOASSERTION
---

# Workflow Processing

Use this sub-skill when a user wants to run Roboflow Workflows from the `inference`
CLI over a single image, an image directory, or a video file, or when they need to
understand the output files produced by those commands.

## Route here when

- The user mentions `inference workflows process-image`, `process-images-directory`,
  or `process-video`.
- They need to load a Workflow from `--workflow_spec` or from
  `--workspace_name` plus `--workflow_id` / `--workflow_version_id`.
- They need to pass Workflow parameters via `--workflow_params` and extra CLI
  arguments, choose `api` versus `inference_package`, or tune `--max_fps`,
  `--max-failures`, `--threads`, `--allow_override`, or `--force_reprocessing`.
- They ask what files to expect in an output directory, why aggregation is CSV or
  JSONL, or why a previous run was skipped or refused to overwrite output.

## Do not route here when

- The user is asking how to start, configure, or expose the Inference server.
  Use [CLI operations](../cli-operations/SKILL.md) instead.
- The user is asking for Python `InferenceHTTPClient`, HTTP request/response
  shapes, WebRTC streams, or long-running pipeline API calls. Use
  [SDK and WebRTC](../sdk-webrtc/SKILL.md) instead.
- The user is asking about model backend/package selection outside Workflow CLI
  execution; keep that with the model-runtime sub-skill when available.

## First decisions to make

1. **Input kind**: one image, an image directory, or one video file.
2. **Workflow source**: either a local JSON Workflow specification via
   `--workflow_spec`, or a Roboflow-hosted Workflow via `--workspace_name` and
   `--workflow_id` with optional `--workflow_version_id`. Do not tell users to
   supply both sources for the same run.
3. **Processing target**:
   - Image and directory commands default to `--processing_target api` and can
     also run through `--processing_target inference_package`.
   - Video processing has no `--processing_target`; it always requires the local
     `inference` package because it uses the local video pipeline.
4. **Output safety**: choose a clean `--output_dir` unless the user explicitly
   wants to reuse or merge into prior outputs with `--allow_override`.
5. **Parameters**: combine `--workflow_params params.json` with trailing Workflow
   parameters only when needed; trailing CLI parameters override matching file
   keys.
6. **Result format**: use directory `--aggregation_format csv|jsonl` for
   `process-images-directory`; use video `--output_file_type csv|jsonl` for
   `process-video`.

## Read these bundled references

- [Workflow command patterns and output behavior](references/workflows.md) for
  command recipes, parameter merging, output layout, aggregation, target choice,
  and resume/overwrite behavior.
- [CLI reference](references/cli-reference.md) for the workflow command family
  and option-level routing.
- [Troubleshooting](references/troubleshooting.md) for non-empty directories,
  invalid JSON paths, missing local packages, target confusion, `--max_fps`,
  `--max-failures`, aggregation format surprises, and debug-mode advice.

A small optional helper is bundled at
[`scripts/inspect_workflow_outputs.py`](scripts/inspect_workflow_outputs.py). Use it
only to validate JSON config files or inspect an already-produced output
folder; it is not a replacement for the Roboflow CLI.

A separate helper,
[`scripts/provision_workflow_fonts.py`](scripts/provision_workflow_fonts.py),
provisions the approved workflow font assets when a workflow visualization path
needs the bundled font set outside the original repository checkout.

## Answer pattern

When responding to a workflow-processing request, provide:

1. The exact `inference workflows ...` command for the input kind.
2. The Workflow source choice (`--workflow_spec` or hosted identifiers).
3. The processing target and any package/API preconditions.
4. The expected output layout and which files are safe to consume downstream.
5. The overwrite/resume/rate/failure controls that matter for the user's run.
6. A troubleshooting branch, with `--debug_mode` only when a stack trace is useful.

Files in this skill

  • SKILL.md4.4 KB
  • references/cli-reference.md7.4 KB
  • references/troubleshooting.md7.6 KB
  • references/workflows.md9.7 KB
  • scripts/inspect_workflow_outputs.py7.1 KB
  • scripts/provision_workflow_fonts.py20 KB

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.