Decide exactly where bug-fix test coverage belongs. Use before adding, moving, or deleting tests after a bug fix or architectural change. Select one owning layer, reuse existing canonical suites, block redundant or weakly placed tests, and remove weaker duplicates.
npx skills add https://github.com/instructa/agent-skills --skill consolidate-test-suites
Purpose: place each invariant in one owning test layer only.
Definitions:
Default: reuse an existing canonical suite. Do not create a new standalone regression test unless the exception rule below allows it.
Choose the first option that fits:
Choose unit when:
Choose integration when:
Choose end-to-end only when:
Tie-breakers:
A standalone regression-style test is allowed only if ALL are true:
If any condition is false, fold the coverage into the canonical suite.
After placing coverage:
Before finishing:
Use this format by default:
Invariant: <rule that failed>
Owning layer: <unit | integration | end-to-end>
Target suite/file: <path or suite name>
Action: <reuse existing test | add to existing suite | create file in canonical suite | keep standalone regression>
Why this layer owns it: <one short paragraph>
Duplicates to merge/delete: <list or "none">
Verification run: <commands and result>
Residual risk: <what is still not covered, if anything>
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 instructa/consolidate-test-suites 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.