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About
Use cases: testing
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What's inside
- Skill name
tdd- Description
- Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
- License
- MIT
- Instructions
- 105 lines in SKILL.md · view on GitHub
Files (4)
- SKILL.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, read `CONTEXT.md` (if it exists) so that test names and interface vocabulary match the project's domain 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 (small interface, deep implementation) — run the `/codebase-design` skill for the vocabulary and the testability checks - [ ] 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 ```
From ChidiOkoene/optimal-brain, MIT.
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Router for the full optimal-brain pack (36 agent skills for engineering, planning, review, agent loops, and an Obsidian knowledge vault).
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optimal-brain-vault-pack
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Router for the optimal-brain vault pack, which gives your coding agent a long-term memory in an Obsidian vault.
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
agent-loop
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Agentic loop discipline.
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
ask-brain
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Router for the whole optimal-brain pack: given a task, picks the single best skill or an ordered chain of skills, says why, and says what to skip.
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
prototype
ChidiOkoene
Build a throwaway prototype to flesh out a design: a runnable terminal app for state/business-logic questions, or several radically different UI variations…
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
setup-agent-loops
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Configure this repo for agent loops (verification commands, stop rules, scope, starter recipes), or design a custom recurring workflow spec.
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
setup-optimal-brain
ChidiOkoene
Configure this repo for the engineering skills: issue tracker, triage label vocabulary, and domain doc layout, written to .agent/context/.
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
system-architect
ChidiOkoene
Orchestrate solution and system architecture across competence roles (discovery, as-is review, target design, or migration) into a session hub, ADRs, and…
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
two-axis-review
ChidiOkoene
Review a set of code changes against two separate axes, Standards (does it follow this repo's documented rules?) and Spec (does it do what the issue/PRD…
SkillAFreshness: A★ 3Claude Code +9 - 0.599score
implement
ChidiOkoene
Implements a PRD or issue set end to end: plans, writes code test-first, runs the repo's verification commands, and gates on /two-axis-review before committing.
SkillAFreshness: A★ 3Claude Code +9 - 0.584score
diagnosing-bugs
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Diagnosis loop for hard bugs and performance regressions.
SkillAFreshness: A★ 3Claude Code +9 - 0.579score
to-issues
ChidiOkoene
Break a plan, spec, or PRD into independently-grabbable issues on the project issue tracker using tracer-bullet vertical slices.
SkillAFreshness: A★ 3Claude Code +9
Signals
- Stars
- 3
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 13, 2026 (15 days ago)
- Last release
- Oct 13, 2026 (15 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/ChidiOkoene/optimal-brain
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Build a throwaway prototype to flesh out a design: a runnable terminal app for state/business-logic questions, or several radically different UI variations…
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ask-brain
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Router for the whole optimal-brain pack: given a task, picks the single best skill or an ordered chain of skills, says why, and says what to skip.
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
optimal-brain-vault-pack
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Router for the optimal-brain vault pack, which gives your coding agent a long-term memory in an Obsidian vault.
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
agent-loop
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setup-agent-loops
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Configure this repo for agent loops (verification commands, stop rules, scope, starter recipes), or design a custom recurring workflow spec.
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Cite this page
tdd skill. Agent Mart. https://agentmart.dev/skills/chidiokoene-tdd (last updated 2026-10-24)