Open source alternatives to observability-and-instrumentation
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 observability-and-instrumentation
observability-and-instrumentation
Instruments code so production behavior is visible and diagnosable
observability-and-instrumentation is an agent skill from Addy Osmani's agent-skills collection that makes code's production behavior visible and diagnosable. Observability is the ability to answer what the system is doing and why, from the outside, using the telemetry the code emits. The skill's principle is that instrumentation is not an add-on after launch. It is written alongside the feature, the same way tests are, because if a feature ships without telemetry, the first bug a user reports becomes archaeology instead of a query. The skill applies when building any feature that will run in production, adding a service, endpoint, background job or external integration, when a production incident took too long to diagnose, when setting up or reviewing alerting rules, and when reviewing a pull request that adds I/O, retries, queues or cross-service calls. It names three things it does not cover: diagnosing a failure that is happening now, which belongs to the debugging skill; profiling and optimizing measured slowness, which belongs to the performance skill; and launch-day monitoring checklists and rollback triggers, which belong to the shipping-and-launch skill.
- Price
- Free
- Made by
- addyosmani
- Category
- AI Skills
- Website
- github.com/addyosmani/agent-skills/observability-and-instrumentation