Open source alternatives to linkerd-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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About linkerd-patterns
linkerd-patterns
Implement Linkerd service mesh patterns for lightweight
linkerd-patterns is an agent skill from the wshobson/agents collection for implementing Linkerd, a lightweight, security-focused service mesh for Kubernetes. A service mesh handles the networking between services so each application does not have to, and Linkerd is presented as the simpler, security-first option. The skill gives production patterns for setting up Linkerd in a cluster, implementing automatic mutual TLS so traffic between services is encrypted and authenticated without application changes, and configuring traffic splits for canary deployments. It covers service profiles, which add per-route metrics such as success rates and latency for each endpoint, and implementing retries and timeouts so calls to a slow or failing service are handled predictably. It also covers multi-cluster meshes, where services in several clusters can talk to each other. The skill is written for platform engineers who want the security and observability of a mesh without a heavy setup. It is a guide for an agent to work from when configuring a mesh, and the configuration should be checked in a test cluster before it handles production traffic. The skill is installed with the skills CLI from the wshobson/agents repository. Its skills.sh page showed about 10.0K 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/linkerd-patterns