alexey1312

Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.

Archive a completed change in the experimental workflow. Use when the user wants to finalize and archive a change after implementation is complete.

Archive multiple completed changes at once. Use when archiving several parallel changes.

Continue working on an OpenSpec change by creating the next artifact. Use when the user wants to progress their change, create the next artifact, or continue their workflow.

Fast-forward through OpenSpec artifact creation. Use when the user wants to quickly create all artifacts needed for implementation without stepping through each one individually.

Start a new OpenSpec change using the experimental artifact workflow. Use when the user wants to create a new feature, fix, or modification with a structured step-by-step approach.

Guided onboarding for OpenSpec - walk through a complete workflow cycle with narration and real codebase work.

Verify implementation matches change artifacts. Use when the user wants to validate that implementation is complete, correct, and coherent before archiving.

Recovers context of the current git branch by analyzing commits, changed files, and diffs since diverging from main. Use when resuming work on an existing feature branch or onboarding to unfamiliar branch changes. Supports --deep flag for full file reading.

Identifies and removes signs of AI-generated writing from text, covering 24 patterns including inflated significance, promotional language, AI vocabulary, and sycophantic tone. Use when editing text to sound more natural, removing AI-isms, or humanizing content before publishing.

Converts structured data (JSON, XML, YAML) to compact TOON format (Token-Oriented Object Notation) with 30-60% token savings. Use when compressing API responses, Figma MCP output, config files, or any structured data for token efficiency.