Use this skill when the user wants to run YAML-defined data pipelines, transform data between JSON/JSONL/CSV, or validate pipeline definitions.
Scanned 9/6/2026
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---
name: pipectl
description: Use this skill when the user wants to run YAML-defined data pipelines, transform data between JSON/JSONL/CSV, or validate pipeline definitions.
---
# pipectl Plugin
CLI for running YAML-defined data pipelines. Supports JSON, JSONL, and CSV payloads with built-in steps for filtering, normalizing, redacting, casting, sorting, validating, converting, and more.
## Commands
### Pipeline execution
- `pipectl pipeline run <pipeline.yaml>` — Run a YAML-defined data pipeline
- `pipectl pipeline validate <pipeline.yaml>` — Validate a pipeline without executing it
### Documentation
- `pipectl docs show` — Show documentation for all built-in steps
- `pipectl docs show <step>` — Show documentation for a specific step
### Utilities
- `pipectl self version` — Print pipectl version
- `pipectl _ _` — Passthrough to pipectl CLI
## Usage Examples
- "pipectl pipeline run transform.yaml --input data.json --output result.jsonl"
- "pipectl pipeline validate pipeline.yaml --dry-run"
- "cat data.csv | pipectl pipeline run filter.yaml --quiet"
- "pipectl docs show filter"
## Installation
```bash
go install github.com/pipectl/pipectl/cmd/pipectl@latest
```
## Examples
### Simple filter pipeline
```yaml
steps:
- name: filter
type: filter
condition: "age > 18"
```
```bash
cat users.json | pipectl pipeline run filter.yaml --output adults.json
```
### Validate before running
```bash
pipectl pipeline validate pipeline.yaml --dry-run
```
## Key Features
- CLI-only, no auth required
- Supports JSON, JSONL, and CSV with automatic conversions
- Built-in steps: filter, normalize, redact, cast, sort, dedupe, validate, convert, http-request
- JSON Schema validation at any pipeline stage
- Dry-run mode for validation and preview
- Variable substitution with `--var KEY=VALUE`
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