Perform bulk code refactoring operations like renaming variables/functions across files, replacing patterns, and updating API calls. Use when users request renaming identifiers, replacing deprecated code patterns, updating method calls, or making consistent changes across multiple locations.
WHAT YOU BECOME
Perfect for these scenarios
Work on multiple features simultaneously without context switching in the main workspace
Quickly create isolated worktrees for emergency fixes without disrupting ongoing work
Test experimental changes in isolated branches without risking the stability of your main codebase
Maintain clean workspace while preparing release branches in isolated environments
MEASURED GAIN
Proven benefits and measurable impact
Switch between feature branches instantly without stashing or committing unfinished work
Minimize conflicts by keeping changes isolated in separate worktrees until ready
Keep your main workspace clean and stable while working on multiple features
WHAT YOU GET
Files, tags and the three-step install
Tip: Read the documentation and the code before first use, so you know what it does and which permissions it needs.
NEXT SCRIPTS
Recommended based on tags and category
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.
Validate OpenAPI, Swagger, and GraphQL schemas match backend implementation. Detect breaking changes, generate TypeScript clients, and ensure API documentation stays synchronized. Use when working with API spec files (.yaml, .json, .graphql), reviewing API changes, generating frontend types, or validating endpoint implementations.
Apify JS SDK Documentation - Web scraping, crawling, and Actor development
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.