Open source alternatives to performance-optimization
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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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 performance-optimization
performance-optimization
Optimizes application performance across frontend, backend, queries
performance-optimization is an agent skill from Addy Osmani's agent-skills collection for improving application performance across the frontend, the backend, queries and databases. Its core rule is to measure before optimizing. Performance work without measurement is guessing, and guessing leads to premature optimization that adds complexity without improving what matters. The workflow is to profile first, identify the actual bottleneck, fix it, and measure again, optimizing only what the measurements prove matters. The skill applies when the spec has performance requirements such as load-time budgets or response-time SLAs, when users or monitoring report slow behavior, when Core Web Vitals scores fall below their thresholds, when a change is suspected of causing a regression, and when building features that handle large datasets or high traffic. It says not to optimize without evidence of a problem, since premature optimization costs more in complexity than it gains in speed.
- Price
- Free
- Made by
- addyosmani
- Category
- AI Skills
- Website
- github.com/addyosmani/agent-skills/performance-optimization