Use when a large feature, story, plan, or spec idea needs to be split into small vertical slices with the Hamburger Method. This should trigger for requests such as Split this oversized story; Find the smallest useful slice; Break this feature into vertical slices; Apply the Hamburger Method; Turn this broad plan into tracked slices. Part of Plinth Toolkit
npx skills add https://github.com/jabrena/plinth --skill 052-design-hamburger-method
Guide Java teams through the Hamburger Method for splitting oversized work into small, valuable, end-to-end vertical slices. This is an interactive SKILL.
What is covered in this Skill?
Split oversized work into vertical slices that deliver observable value, not isolated horizontal technical tasks.
references/052-design-hamburger-method.md before applying the methodRead references/052-design-hamburger-method.md, then restate the large feature, story, plan, or spec idea and why ordinary implementation task decomposition would be too broad, risky, or horizontal.
Identify 3-6 functional or workflow layers needed for observable value. For each layer, generate 4-5 implementation or quality options ordered from the simplest acceptable choice to richer choices.
Ask: "If this had to ship tomorrow, what would be the smallest useful version?" Use the answer to remove options that are too costly, redundant, irreversible, or unnecessary for early learning.
Select one option from each relevant layer to create the smallest useful end-to-end vertical slice. Explain the user-visible value, validation signal, and why rejected layer options wait for later slices.
Propose follow-up vertical slices that incrementally improve quality, automation, robustness, reach, observability, operational behavior, or supported workflows without turning them into isolated technical layers.
Check every slice for value, size, testability, deliverability, and issue-tracking suitability. Route implementation planning through 041-planning-plan-mode, spec-level changes through 042-planning-openspec, GitHub issue work through 043-planning-github-issues, Jira work through 044-planning-jira, and Azure DevOps work through 045-planning-azure-devops.
For detailed guidance, examples, and constraints, see references/052-design-hamburger-method.md.
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 jabrena/052-design-hamburger-method 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.