system-design
Use when designing system architecture, APIs, components, or data models - provides a structured design workflow with validation and documentation outputs.
Works with
--- name: system-design description: Use when designing system architecture, APIs, components, or data models - provides a structured design workflow with validation and documentation outputs. license: MIT --- # System Design ## Overview Create clear system, API, component, or data model designs with explicit requirements, constraints, and validation steps. ## When to Use - Designing system architecture or components - Specifying APIs or data models - Producing design docs or diagrams Avoid when: - You only need implementation tasks (use implementation-workflow) ## Quick Reference | Task | Load reference | | --- | --- | | System design workflow | `skills/system-design/references/system.md` | ## Workflow 1. Gather requirements and constraints. 2. Load the system design reference. 3. Define structure, interfaces, and data flows. 4. Validate against constraints and best practices. 5. Deliver spec/diagram/code artifacts. ## Output - Design spec or diagram - Validation notes and follow-ups ## Common Mistakes - Designing without constraints - Mixing implementation details with spec scope
More Writing & Documentation skills
paper-context-resolver
lllllllama/rigorpilot-skills
Rigor Paper Context helper for README-first deep learning repo reproduction. Use only when the README and repository files leave a narrow reproduction-critical gap and the task is to resolve a specific paper detail such as dataset split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumption from primary paper sources while recording conflicts. Do not use for general paper summary, repo scanning, environment setup, command execution, title-only paper lookup, or replacing README guidance by default.
repo-intake-and-plan
lllllllama/rigorpilot-skills
Rigor Intake helper for README-first deep learning repo reproduction. Use when the task is specifically to scan a repository, read the README and common project files, extract documented commands, classify inference, evaluation, and training candidates, and return the smallest trustworthy reproduction plan to the main orchestrator. Do not use for environment setup, asset download, command execution, final reporting, paper lookup, or end-to-end orchestration.
minimal-run-and-audit
lllllllama/rigorpilot-skills
Rigor Run skill for README-first deep learning repo reproduction. Use when the task is specifically to capture or normalize evidence from the selected smoke test or documented inference or evaluation command and write standardized `repro_outputs/` files, including patch notes when repository files changed. Do not use for training execution, initial repo intake, generic environment setup, paper lookup, target selection, hidden scientific-meaning changes, or end-to-end orchestration by itself.
