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Files a new tech-debt GitHub issue for an out-of-scope code-review finding. Builds the dedup key, skips an open or…
Runs test-driven development with a red-green-refactor loop, an opt-in tool for logic where test-first helps. Use when the user wants to build features or fix bugs using TDD, mentions "red-green-refactor", wants integration tests, or asks for test-first development.
Claude Code
$ npx -y skills add gaia-harness/gaia --skill tdd --agent claude-code
Codex
$ npx skills add gaia-harness/gaia --skill tdd -a codex -y
Cursor
$ npx skills add gaia-harness/gaia --skill tdd -a cursor -y
Gemini CLI
$ npx skills add gaia-harness/gaia --skill tdd -a gemini-cli -y
GitHub Copilot
$ npx skills add gaia-harness/gaia --skill tdd -a github-copilot -y
OpenCode
$ npx skills add gaia-harness/gaia --skill tdd -a opencode -y
Windsurf
$ npx skills add gaia-harness/gaia --skill tdd -a windsurf -y
name: tdd description: Runs test-driven development with a red-green-refactor loop, an opt-in tool for logic where test-first helps. Use when the user wants to build features or fix bugs using TDD, mentions "red-green-refactor", wants integration tests, or asks for test-first development.
An opt-in tool for logic where test-first helps, not a rule: the principle is Test What Matters (`.claude/rules/coding-guidelines.md`, section 3). The skill verifies its own red step: run the new test, see it fail for the right reason, then implement. No hook or ledger records it.
Contents: Selecting a Stack Reference; Philosophy; Anti-Pattern: Horizontal Slices; Workflow; Checklist Per Cycle.
Before writing the first red test, consult the reference for your stack:
Add a new stack reference (a skill or a `references/tests-{stack}.md`) when adopting a new stack. The stack reference covers concrete patterns, test layers, mocking rules, and good/bad examples specific to that environment.
**Core principle**: tests verify behavior through public interfaces, not implementation details. Good tests are integration-style: they exercise real code paths through public APIs, read like a specification ("user submits a valid form and sees a success toast"), and survive refactors. A test that breaks on a behavior-preserving refactor is coupled to implementation.
**DO NOT write all tests first, then all implementation.** This is "horizontal slicing", treating RED as "write all tests" and GREEN as "write all code."
Tests written in bulk test _imagined_ behavior, not _actual_ behavior. You outrun your headlights, committing to structure before understanding the implementation, producing tests insensitive to real changes.
**Correct approach**: vertical slices via tracer bullets. One test → one implementation → repeat.
WRONG (horizontal): RED: test1, test2, test3, test4, test5 GREEN: impl1, impl2, impl3, impl4, impl5 RIGHT (vertical): RED→GREEN: test1→impl1 RED→GREEN: test2→impl2 RED→GREEN: test3→impl3 ...
Before writing any code:
Ask: "What should the public interface look like? Which behaviors are most important to test?"
**You can't test everything.** Focus on critical paths and complex logic, not every edge case.
Write ONE test that confirms ONE thing end-to-end for this layer. `RED → GREEN`. The tracer bullet confirms the testing infrastructure wires up before adding real coverage.
For each behavior your task names (a plan's task doc, or the plan approved in step 1): `RED → GREEN`, extending the test that already owns it, if one does, rather than writing a second. Write a new test only for those behaviors and their acceptance tests, plus a unit test for logic meeting both unit-test conditions (`wiki/decisions/Test Layering.md`): the integration layer cannot cover its cases cheaply, and the logic is important or likely to fail. Only enough code to pass the current test. Don't anticipate future tests.
**Bound the green chase.** If a test won't pass after a few focused attempts, stop and reassess instead of thrashing the implementation: the test, the interface, or an assumption may be wrong. Surface the blocker rather than looping indefinitely to force green.
For every new test, run it before implementing and look at the failure: `pnpm -C <package dir> test --run <test-file>` (path relative to the package), or the stack reference's runner. It must fail for the right reason, an assertion that the missing behavior breaks (or the stub's throw), never a collection or import error.
**Author the test against a stub of the implementation symbol.** First write a stub of each new exported symbol the test imports, under its final name and with its final signature (async-ness, parameter and return types; a Promise-returning function is stubbed async, since type-aware lint on the test reads the signature), returning a wrong value (throwing only when the symbol has no return value to get wrong). Write the test against the stub, lint both, then run it: it fails on the assertion (or the stub's throw) because the implementation is missing. That failure is the honest red, not a manufactured one. Then write the implementation that turns it green. Never point the test at a module file that does not exist yet: vitest fails the file at collection, no test body runs, and nothing shows the test can fail.
RIGHT: stub parseAmount() returning a wrong value → write the test → lint → run → fails on the assertion → implement → green WRONG: write the test importing a parse-amount module that does not exist → run → collection error, no honest red WRONG: implement parseAmount() → write the test → break parseAmount() to force red → restore it → green
**Never break working production code to force a red, then restore it.** Nothing enforces this, so it is an authoring obligation.
**Single-pass-author exemption.** When the implementation already exists in the same change with no prior failing observation (a single-pass author landing impl and test together), author the test honestly against the existing behavior and route it to the worthiness audit, exactly as an emergent test is routed.
Af
Claude is raw power. GAIA is order and focus. A serious harness for Claude Code. It keeps Claude-shipped code production-grade as your team scales. The React frontend is handled. You build the rest of your app on top.
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