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About
Use cases: testing
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/tdd
What's inside
- Skill name
tdd- Description
- Test-driven development with red-green-refactor loop. Use when user wants to build features or fix bugs using TDD, mentions "red-green-refactor", wants integration tests, or asks for test-first development.
- License
- MIT
- Instructions
- 110 lines in SKILL.md · view on GitHub
Files (6)
- SKILL.md
- deep-modules.md
- interface-design.md
- mocking.md
- refactoring.md
- tests.md
SKILL.md (first lines)
# Test-Driven Development ## Philosophy **Core principle**: Tests should verify behavior through public interfaces, not implementation details. Code can change entirely; tests shouldn't. **Good tests** are integration-style: they exercise real code paths through public APIs. They describe _what_ the system does, not _how_ it does it. A good test reads like a specification - "user can checkout with valid cart" tells you exactly what capability exists. These tests survive refactors because they don't care about internal structure. **Bad tests** are coupled to implementation. They mock internal collaborators, test private methods, or verify through external means (like querying a database directly instead of using the interface). The warning sign: your test breaks when you refactor, but behavior hasn't changed. If you rename an internal function and tests fail, those tests were testing implementation, not behavior. See [tests.md](tests.md) for examples and [mocking.md](mocking.md) for mocking guidelines. ## Anti-Pattern: Horizontal Slices **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." This produces **crap tests**: - Tests written in bulk test _imagined_ behavior, not _actual_ behavior - You end up testing the _shape_ of things (data structures, function signatures) rather than user-facing behavior - Tests become insensitive to real changes - they pass when behavior breaks, fail when behavior is fine - You outrun your headlights, committing to test structure before understanding the implementation **Correct approach**: Vertical slices via tracer bullets. One test → one implementation → repeat. Each test responds to what you learned from the previous cycle. Because you just wrote the code, you know exactly what behavior matters and how to verify it. ``` 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 ... ``` ## Workflow ### 1. Planning When exploring the codebase, use the project's domain glossary so that test names and interface vocabulary match the project's language, and respect ADRs in the area you're touching. Before writing any code: - [ ] Confirm with user what interface changes are needed - [ ] Confirm with user which behaviors to test (prioritize) - [ ] Identify opportunities for [deep modules](deep-modules.md) (small interface, deep implementation) - [ ] Design interfaces for [testability](interface-design.md) - [ ] List the behaviors to test (not implementation steps) - [ ] Get user approval on the plan Ask: "What should the public interface look like? Which behaviors are most important to test?" **You can't test everything.** Confirm with the user exactly which behaviors matter most. Focus testing effort on critical paths and complex logic, not every possible edge case. ### 2. Tracer Bullet Write ONE test that confirms ONE thing about the system: ``` RED: Write test for first behavior → test fails GREEN: Write minimal code to pass → test passes ``` This is your tracer bullet - proves the path works end-to-end. ### 3. Incremental Loop For each remaining behavior: ``` RED: Write next test → fails GREEN: Minimal code to pass → passes ``` Rules: - One test at a time - Only enough code to pass current test - Don't anticipate future tests - Keep tests focused on observable behavior ### 4. Refactor After all tests pass, look for [refactor candidates](refactoring.md): - [ ] Extract duplication - [ ] Deepen modules (move complexity behind simple interfaces) - [ ] Apply SOLID principles where natural - [ ] Consider what new code reveals about existing code - [ ] Run tests after each refactor step **Never refactor while RED.** Get to GREEN first. ## Checklist Per Cycle ``` [ ] Test describes behavior, not implementation [ ] Test uses public interface only [ ] Test would survive internal refactor [ ] Code is minimal for this test [ ] No speculative features added ``` --- _Adapted from [mattpocock/skills](https://github.com/mattpocock/skills), MIT-licensed (Copyright (c) 2026 Matt Pocock). See the repository NOTICE file._
From LRNZ09/skills, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 3, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/LRNZ09/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Use when you need a recording or visual proof of a real user journey through a running app — a demo video for a PR, ticket or stakeholder, evidence that a fix…
SkillAFreshness: AClaude Code +9 - 0.539score
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Use when a repository, project, service, or workstream needs a name and a descriptive one would be dull — 'what should I call this repo', 'give me a…
SkillAFreshness: AClaude Code +9 - 0.504score
diagnose
LRNZ09
Disciplined diagnosis loop for hard bugs and performance regressions.
SkillBFreshness: BClaude Code +9 - 0.499score
improve-codebase-architecture
LRNZ09
Find deepening opportunities in a codebase, informed by the domain language in CONTEXT.md and the decisions in docs/adr/.
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Cite this page
tdd skill. Agent Mart. https://agentmart.dev/skills/lrnz09-tdd (last updated 2026-10-24)