CircleCI Orbs and Named Executors
CircleCI orbs and reusable named executors: two orb imports, two executors at different resource classes, an orb-provided step, and a branch filter combining an exact name with a regex.
version: 2.1
orbs:
node: circleci/node@5.2.0
slack-compatible: example-org/notify@1.0.0
executors:
linux-node:
docker:
- image: registry.example.invalid/ci/node:20
resource_class: medium
linux-python:
docker:
- image: registry.example.invalid/ci/python:3.12
resource_class: small
jobs:
lint:
executor: linux-node
steps:
- checkout
- node/install-packages
- run: npm run lint
docs:
executor: linux-python
steps:
- checkout
- run: python -m mkdocs build
workflows:
default:
jobs:
- lint
- docs:
filters:
branches:
only:
- main
- /^docs\/.*/
Specifications
- System
- CircleCI
- Orbs
- 2
- Executors
- 2
- Jobs
- 2
- Branch Filter Regex
- true
Testing contract
Expected to pass- Scenario
- Resolve named executors and orb-provided steps in a CircleCI config
- Expected result
- Both jobs bind to a declared executor, the node/install-packages step is attributed to its orb, and the branch filter regex compiles
What is a .yml file?
YML is an alternate file extension for YAML, a human-readable data-serialization format based on indentation, key-value mappings, and lists. The content and parsing rules are identical to .yaml; only the extension differs. It is widely used for CI and application configuration files.
How to use this file
Use an example YML file to test that config loaders treat .yml and .yaml identically, and to exercise indentation, comment, and multi-document parsing.
How to use this file for testing
“CircleCI Orbs and Named Executors” is a deterministic Novus Examples fixture for Config testing, Config parsing, Editor testing. TOML, INI, YAML, .env, and dotfile configuration samples with nested sections and typed values — for testing config parsers, loaders, and environment tooling.
Documented properties for this file: YML · 716 bytes. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.
Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.
Pipeline and infrastructure fixtures are inert configuration: steps reference fictional images and scripts, and nothing here executes. Run your linter, schema validator, migrator, or policy engine against them, and expect the deprecated-syntax and intentionally invalid variants to be rejected.
Point your config loader at the file and assert it reads the documented sections and typed values, including any deliberately-tricky nesting or comments.
Code examples
import yaml # pip install pyyaml
with open("circleci-orbs-executors.yml") as f:
data = yaml.safe_load(f)
print(data)Related files
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Generated by generation/pipelines.py. Free for any use, no attribution required — license.