circleci
Skill15 starsChanged 42 days agoMITView on GitHub
Expert CircleCI assistance covering config.yml, orbs, docker executors, workflows, caching, and parallelism. Use when automating continuous integration and deployment pipelines on CircleCI.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- robertolopezlopez/agent-skillstheir own version, first seen Apr 28, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- robertolopezlopez/agent-skills★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 142
Use CircleCI cache keys:
- Very specific: line 175
Use cimg/* official convenience images optimized for caching and performance.
- Very specific: line 181
Use resource classes larger than needed (xlarge).
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
CircleCI
CircleCI is a continuous integration and delivery platform emphasizing pipeline parallelism, reusable configuration Orbs, and deterministic build environments.
When to Use
- High-Velocity Cloud CI/CD Pipelines: Automating builds, tests, and deployments with Docker, Machine, and macOS executors.
- Reusable Pipeline Architecture with Orbs: Sharing validated workflows using certified CircleCI Orbs (AWS, Slack, Docker).
- Test Splitting & Parallelism: Accelerating slow test suites across dozens of concurrent execution containers.
- Complex Multi-Stage Workflows: Approval gates, scheduled nightlies, and matrix build pipelines.
Quick Start
# .circleci/config.yml
version: 2.1
orbs:
node: circleci/node@5.1
jobs:
build:
executor: node/default
steps:
- checkout
- node/install-packages:
pkg-manager: npm
- run: npm run test
workflows:
build-and-test:
jobs:
- buildCore Concepts
Multi-Job Workflow with Caching & Docker Executor
Fast build and test pipeline with dependency caching:
version: 2.1
orbs:
node: circleci/node@6.0.0
slack: circleci/slack@4.13.0
executors:
app-executor:
docker:
- image: cimg/node:22.0.0
resource_class: medium
jobs:
build-and-test:
executor: app-executor
steps:
- checkout
- restore_cache:
keys:
- v1-deps-{{ checksum "package-lock.json" }}
- v1-deps-
- run:
name: Install Dependencies
command: npm ci
- save_cache:
key: v1-deps-{{ checksum "package-lock.json" }}
paths:
- ~/.npm
- run:
name: Execute Static Analysis & Tests
command: |
npm run lint
npm test -- --coverage
- store_test_results:
path: junit.xml
- store_artifacts:
path: coverage
workflows:
build-test-deploy:
jobs:
- build-and-test
- hold-for-approval:
type: approval
requires:
- build-and-test
filters:
branches:
only: mainTest Splitting by Timing for Concurrent Runners
Distributing tests across parallel containers based on historical execution duration:
jobs:
parallel-tests:
parallelism: 4 # Run across 4 parallel containers
docker:
- image: cimg/python:3.12
steps:
- checkout
- run:
name: Run Split Tests
command: |
TEST_FILES=$(circleci tests glob "tests/**/*.py" | circleci tests split --split-by=timings)
pytest $TEST_FILES --junitxml=test-results/junit.xml
- store_test_results:
path: test-resultsOIDC Authentication with Cloud Providers
Authenticating to AWS/GCP without permanent secrets:
jobs:
deploy-aws:
docker:
- image: cimg/aws:2026.01
steps:
- run:
name: Assume AWS Role via OIDC
command: |
# CircleCI OpenID Connect token exchange
echo "Authenticating via $CIRCLE_OIDC_TOKEN"Common Patterns
Caching Dependencies and Docker Layer Caching
Problem: Installing npm/cargo dependencies from scratch on every commit inflates CI build duration.
Solution: Use CircleCI cache keys:
version: 2.1
jobs:
build_and_test:
docker:
- image: cimg/node:20.10
steps:
- checkout
- restore_cache:
keys:
- v1-deps-{{ checksum "package-lock.json" }}
- v1-deps-
- run: npm ci
- save_cache:
key: v1-deps-{{ checksum "package-lock.json" }}
paths:
- ~/.npm
- run: npm test
workflows:
build:
jobs:
- build_and_testBest Practices
Do:
- Leverage CircleCI test splitting (
circleci tests split --split-by=timings) to minimize CI pipeline wall-clock time. - Use
cimg/*official convenience images optimized for caching and performance. - Authenticate to cloud platforms (AWS, GCP, Azure) via OIDC tokens instead of static credentials.
- Store test results with
store_test_resultsto view flaky test analytics and trends.
Don't:
- Use resource classes larger than needed (
xlarge); right-size containers to optimize credits. - Store unencrypted credentials in repository config files; use Project Environment Variables or Contexts.
- Re-run entire workflows on minor test failures; use 'Rerun failed tests' functionality.
Troubleshooting
| Error | Cause | Solution |
CircleCI config error: Schema validation failed | YAML syntax error or invalid orb/step parameter in .circleci/config.yml. | Validate locally with circleci config validate. |
Job exceeded memory limit and was killed | Build task exceeded RAM limit of selected resource class. | Upgrade resource class: resource_class: medium+ or large. |
Cannot find environment variable | Context or project environment variable not linked to job. | Link context under workflows.jobs.context in config.yml. |
References
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