Open source alternatives to test-driven-development
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G

github-ops
Getgithub-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
Getopensource-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
Getandrej-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
Getmarkitdown-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
Getod-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
Getgithub-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 test-driven-development

test-driven-development
Use a failing behavioral test to guide a feature or bug fix
test-driven-development is an agent skill for test-driven development: write a failing test first, watch it fail, write the minimal code to make it pass, then refactor. Its core principle is that if you did not watch the test fail, you do not know whether it tests the right thing. Use it for behaviour changes where a repeatable test can demonstrate the requirement or reproduce a bug. Before starting it inspects the repository's test runner and existing coverage. For copy, generated output or low-impact configuration, it points you to a focused validation instead of a manufactured unit test. The skill has a rule for work that already exists. Write the failing regression before the repair when that is feasible, and if the implementation already exists, keep it and add characterisation and regression tests. It does not delete your work, reset a branch or rewrite working code to recreate an ideal test-first history, and it asks you to state honestly whether the test came before the fix. It is part of the sickn33/agentic-awesome-skills repository on GitHub, which has about 47,600 stars. The listing shows it as free, and it has about 1,400 installs.
- Price
- Free
- Made by
- sickn33
- Category
- AI Skills
- Website
- github.com/sickn33/agentic-awesome-skills/test-driven-development










