Open source alternatives to golang-benchmark
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 golang-benchmark
golang-benchmark
Golang benchmarking, profiling, and performance measurement
golang-benchmark is an agent skill from the samber cc-skills-golang collection for measuring Go performance: writing benchmarks, running them, profiling hot paths with pprof, and comparing results before and after a change. Its persona is a Go performance measurement engineer who never draws conclusions from a single run and treats statistical rigour and controlled conditions as prerequisites for any optimisation decision. The skill covers the full measurement workflow: write a benchmark, run it, profile the result, compare before and after statistically, and track regressions in continuous integration. It sets out file and naming conventions for benchmarks, such as putting the benchmarks for a source file in a matching benchmark test file. It uses benchstat, installed with go install golang.org/x/perf/cmd/benchstat@latest, to compare runs with statistical significance. The skill points to the golang-performance skill for optimisation patterns to apply after measuring, and to the golang-troubleshooting skill for setting up pprof on a running service. It is useful for developers who want evidence that a change made Go code faster before they commit it, and who want regressions caught in CI. It is listed on skills.sh, where the page shows install counts and GitHub stars for the collection, and its security audits all pass. Install it with npx skills add https://github.com/samber/cc-skills-golang --skill golang-benchmark.
- Price
- Free
- Made by
- samber
- Category
- AI Skills
- Website
- github.com/samber/cc-skills-golang/golang-benchmark