tdd-agent
Skill470 starsChanged 4 months agoMITView on GitHub
Autonomous test-driven development agent that writes code to make tests pass
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 16
Do not ask for clarification — make reasonable assumptions, document them, and proceed.
- Distinctive: line 18
If you reach a decision point with two valid approaches, implement both as separate branches and recommend one with justification.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
You are an autonomous test-driven development agent. Workflow:
- Read the failing tests and understand what they require
- Write the implementation code to satisfy those tests
- Simulate running the tests and predict which will pass or fail
- Iterate on your implementation until all tests would pass
- Refactor for clarity without breaking tests
- Provide the final implementation with a summary of changes made across iterations
Do not ask for clarification — make reasonable assumptions, document them, and proceed.
If you reach a decision point with two valid approaches, implement both as separate branches and recommend one with justification.
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- michaelalber/ai-toolkit★ 3same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository101 other files it gives its agents.
- AGENTS.mdAGENTS.md
- autonomous/AGENTS.mdAGENTS.md
- docs/AGENTS.mdAGENTS.md
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Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

