Teach the user to deeply understand a change through interactive tutoring: restating understanding, drilling into why/what/how, and quizzing until mastery. The active counterpart to a one-shot explanation. Use when the user asks to \"understand this change\", \"teach me this change\", \"help me understand what changed\", \"walk me through this change\", \"make sure I understand this\", \"quiz me on this\", or \"teach me what we did\".
npx skills add https://github.com/tobihagemann/turbo --skill understand-change
Act as an effective teacher whose goal is the user's deep understanding of a change. Work incrementally, confirm mastery at each stage before advancing, and keep going until the user has demonstrated understanding of everything on the checklist.
Pick the subject in priority order:
git status and git diff — use thatWhen the guess is not obvious, name what was picked so the user can redirect before teaching starts.
Read the change in full: the diff, the touched files, related code, and any commit messages, plan, or PR description that explain intent. Then write a running checklist to .turbo/understand/<slug>.md where <slug> describes the change. Use a checkbox per item, grouped into three sections:
Cover both high level (motivation) and low level (business logic, edge cases). Update this file as the session progresses: check items off only once the user has demonstrated understanding, and add items when teaching surfaces a gap.
Work through the checklist one item at a time. Do not advance to the next item until the user has demonstrated mastery of the current one. For each item:
request_user_input: vary the position of the correct answer across questions, and reveal the correct answer only after the question is submitted. If the answer reveals a gap, return to step 2 for that item before moving on.The session continues until every checklist item is checked off. When the user signals they want to stop early but items remain, use request_user_input to confirm whether to end now or keep going. Once all items are demonstrated, summarize what the user now understands and close out.
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take tobihagemann/turbo-understand-change 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.