Execute multi-level exploratory testing of the app covering basic functionality, complex operations, adversarial testing, and cross-cutting scenarios, plus usability observations through a UX lens reported separately from defects. Deeper than /smoke-test. Use when the user asks to \"exploratory test\", \"test thoroughly\", \"test all scenarios\", \"deep test\", \"test edge cases\", \"test everything\", \"break it\", \"find bugs by testing\", \"test usability\", or \"check the UX while testing\".
npx skills add https://github.com/tobihagemann/turbo --skill exploratory-test
Execute multi-level exploratory testing that goes beyond smoke testing to actively find bugs through escalating test scenarios.
At the start, use TaskCreate to create a task for each step:
/user-experience skill (when user-facing)Resolve the test plan using these rules in order:
.turbo/test-plans/<slug>.md.turbo/test-plans/<that-slug>.md when that file exists.turbo/test-plans/*.md. If exactly one file exists, use it.turbo/test-plan.md if .turbo/test-plans/ does not exist/create-test-plan skill first, then use the plan it writesIf multiple test plans exist and the most-recent choice is non-obvious, use AskUserQuestion to let the user pick from the candidates.
Read the resolved test plan and state its path. If the user specifies a narrower scope, filter the plan to relevant scenarios rather than executing all of them.
Use the approach specified in the test plan. If the plan does not specify one, determine it using the same logic as /create-test-plan Step 3.
/user-experience Skill (When User-Facing)If the app has a user-facing surface (UI, screens, commands, messages, or any behavior a user sees or does), run the /user-experience skill to load the UX lens before executing tests, so usability concerns surface while interacting with the app. When it is unclear whether the surface is user-facing, use AskUserQuestion to ask rather than skipping silently. Skip this step for test targets with no user-facing behavior (internal library or infrastructure).
Work through each level sequentially. Complete all tests in a level before moving to the next.
AskUserQuestion to ask whether to continue. Basic failures may indicate the feature is too broken for deeper testing.If a project-specific testing skill or MCP tool was identified in Step 2, use that. The paths below are fallbacks.
Start the dev server if not already running. Wait for it to be ready. If /agent-browser is available, run the /agent-browser skill. Otherwise, use claude-in-chrome MCP to interact with the app.
Launch the app. Use computer-use MCP to interact with the UI.
Run commands directly.
Present results organized by level:
Exploratory Test Results:
## Level 1: Basic Functionality (X/Y passed)
- [PASS] Test name: description
- [FAIL] Test name: description — [what went wrong]
## Level 2: Complex Operations (X/Y passed)
- [PASS] Test name: description
- [FAIL] Test name: description — [what went wrong]
## Level 3: Adversarial Testing (X/Y passed)
- [PASS] Test name: description
- [FAIL] Test name: description — [what went wrong]
## Level 4: Cross-Cutting Scenarios (X/Y passed)
- [PASS] Test name: description
- [FAIL] Test name: description — [what went wrong]
Overall: X/Y passed across all levels
Report usability observations from the UX lens below the level results, separately from the PASS/FAIL defects. A scenario can pass every functional check and still surface a usability concern.
## Usability Observations
- [UX] <observation> — names the UX context it touches (Understanding, Bridging, or Flowing) and the goal mismatch or friction it creates
For each failure, include the relevant screenshot, output, or state observation.
Update the resolved test plan file by checking off completed tests and annotating results.
Then use the TaskList tool and proceed to any remaining task.
tmux -L <name>), and write screenshots and other scratch state to absolute paths under a unique scratch directory outside the repository under test./investigate skill on the test report.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 tobihagemann/exploratory-test 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.