AI DevKit · Test-driven development — write a failing test before writing production code. Use when implementing new functionality, adding behavior, or fixing bugs during active development.
npx skills add https://github.com/codeaholicguy/ai-devkit --skill tdd
Red. Green. Refactor. In that order, every time.
For each unit of behavior:
verify skill.verify skill.Then pick the next behavior and repeat.
Red:
Green:
Refactor:
| Pattern | Problem | Fix |
|---|---|---|
| Test-after | Code shapes the test instead of the other way around | Delete the code, write the test first |
| Testing internals | Tests break on refactor, not on behavior change | Test public behavior only |
| Giant red step | Multiple behaviors in one test | One assertion per behavior |
| Gold-plating green | Adding code no test requires | Remove untested code |
| Skipping refactor | Tech debt accumulates immediately | Refactor before the next red |
| Mock-heavy tests | Tests pass but real code fails | Prefer real dependencies, mock at boundaries only |
| Rationalization | Why It's Wrong | Do Instead |
|---|---|---|
| "This is too simple to test first" | Simple code still needs a spec | Write the test — it'll be fast |
| "I'll add the test right after" | You won't, and the code will shape the test | Test first, always |
| "I need to see the design first" | The test IS the design | Let the test drive the interface |
| "Mocking is too hard for this" | Difficulty mocking signals tight coupling | Fix the design, then test |
| "The test would be identical to the implementation" | Then you're testing internals | Test the behavior from the outside |
After completing a TDD session, store reusable test patterns (setup, assertions, fixtures): npx ai-devkit@latest memory store --title "<pattern>" --content "<details>" --tags "tdd,testing"
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Use when implementing any feature or bugfix, before writing implementation code
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
Take codeaholicguy/tdd from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference npx.
Without those the skill loads but fails at the first command.