Open source alternatives to test-driven-development
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
Knowledge graph-based persistent memory for maintaining context

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 test-driven-development

test-driven-development
Drives development with tests using the red-green-refactor loop
test-driven-development is an agent skill from Addy Osmani's agent-skills collection that drives development with tests using the red-green-refactor loop. The rule is to write a failing test before writing the code that makes it pass. For a bug fix, the bug is reproduced with a test before any fix is attempted. The skill's view is that tests are proof, and that seems right is not the same as done. It argues that a codebase with good tests is a strength for an AI agent, and one without tests is a liability. The skill applies when implementing any new logic or behavior, fixing any bug, which it calls the Prove-It pattern, modifying existing functionality, adding edge case handling, and making any change that could break existing behavior. It does not apply to pure configuration, documentation or static content changes with no behavioral impact. It begins by discovering the project's testing stack. For browser-based changes, it points to combining test-driven work with runtime checks through Chrome DevTools MCP. The skill is listed on skills.sh, with its security audit results shown there. It suits developers and agents who want changes proven by tests before they are trusted.
- Price
- Free
- Made by
- addyosmani
- Category
- AI Skills
- Website
- github.com/addyosmani/agent-skills/test-driven-development











