Open source alternatives to slo-implementation
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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by shareAI-lab - A really interesting analysis of how coding agents like Claude
About slo-implementation
slo-implementation
Define and implement Service Level Indicators
slo-implementation is an agent skill from the wshobson/agents collection for defining and implementing service level indicators (SLIs), service level objectives (SLOs) and error budgets. The aim is to set measurable reliability targets that balance reliability against the pace of new releases. An SLI is a measurement of the service as users experience it, such as the share of requests that succeed or the share that finish quickly. An SLO is the target set for that measurement over a period, and an error budget is the amount of unreliability the target allows, which a team can spend on change. The skill covers the hierarchy from SLI to SLO to SLA, the agreement with customers that sometimes sits on top of the SLO, and how to implement error budgets so that a team knows when it has room to ship and when it should focus on stability. It also covers creating SLO-based alerts, which fire when the error budget is being used up too quickly rather than on every small blip. It applies when defining reliability targets, measuring what users perceive, implementing error budgets, creating SLO-based alerts, and tracking reliability goals over time. The targets should be chosen with the product and business owners, since an SLO that is too strict slows delivery and one that is too loose hides real problems. The skill is installed with the skills CLI from the wshobson/agents repository. Its skills.sh page showed about 10.2K 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/slo-implementation