Open source alternatives to gitlab-ci-patterns
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G

github-ops
Launchgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
- O

opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
- A

andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
- M

microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
- O

od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G

github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
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Learn Claude Code
by shareAI-lab - A really interesting analysis of how coding agents like Claude
About gitlab-ci-patterns

gitlab-ci-patterns
Build GitLab CI/CD pipelines
gitlab-ci-patterns is an agent skill from the wshobson/agents collection for building GitLab CI/CD pipelines for automated testing, building and deployment. It focuses on efficient pipeline design: multi-stage workflows with a sensible stage order, caching so repeated work is not redone on every run, and distributed runners that spread jobs across machines so pipelines scale as a project grows. The skill starts with the basic structure of a pipeline and then covers deployment strategies, including deploying to Kubernetes from GitLab and implementing GitOps workflows. It also covers configuring GitLab Runners, which execute the jobs. The skill applies when automating a project on GitLab, implementing multi-stage pipelines, configuring runners, deploying to Kubernetes from a GitLab pipeline, or setting up GitOps-style deployments. It is written for engineers who maintain CI/CD configuration and want pipelines that are fast, predictable and easy to read. Because pipeline configuration depends on the project's own languages, environments and deployment targets, the agent uses the skill as a pattern guide and fits it to the repository in front of it. The skill is installed with the skills CLI from the wshobson/agents repository. Its skills.sh page showed about 12.8K installs and passing results from three security audits at the time of the scan.
- Price
- Free
- Made by
- wshobson
- Category
- AI Skills
- Website
- github.com/wshobson/agents/gitlab-ci-patterns











