Open source alternatives to distributed-tracing
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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modelcontextprotocol/server-memory
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netdata/netdata#Netdata
Discovery, exploration, reporting and root cause analysis over Netdata metrics
Learn Claude Code
by shareAI-lab - A really interesting analysis of how coding agents like Claude
About distributed-tracing
distributed-tracing
Implement distributed tracing
distributed-tracing is an agent skill from the wshobson/agents collection for implementing distributed tracing with Jaeger and Tempo. Its purpose is to track requests as they move through distributed systems, so a team can see the latency, the dependencies and the failure points that a single request touches. In a microservices setup a slow response may come from any of many services, and tracing shows the path the request took and how long each step held it. The skill covers the situations where tracing is the right tool: debugging latency issues, understanding which services depend on which, identifying bottlenecks, tracing how an error propagates through the system, and analyzing request paths in general. It is meant to help an agent set up the instrumentation and backends that make traces visible, and to read the traces when a problem needs explaining. Detailed patterns and worked examples sit in a reference file, which the agent reads when the main guidance is not enough. It is installed with the skills CLI from the wshobson/agents repository. Its skills.sh page showed about 10.5K 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/distributed-tracing