hyperidle
Official@ambrovia
Offers a structured framework for software engineering lifecycle management, focusing on architectural decision-making, TDD cycles, and rigorous design system adherence.
Agent Skills by hyperidle
Showing 17 vetted skills indexed across 1 GitHub repositories.
design
Generate and critique UI design variants using a 9-dimension rubric.
pipeline
Orchestrate multi-agent software development through design, critique, build, and review loops.
work-planning
Standardize software work package creation with outcome-level specifications and acceptance criteria.
lore
Capture and index architectural decisions via @lore annotations.
setup
Configure repository rule slots by researching conventions and validating with maintainers.
refine-critique
Score work package requirements against a 0-10 rubric before design phases.
write-tests
Generate failing test suites from acceptance criteria for TDD workflows.
architecture
Generate technical specifications and task trees for software development work packages.
design-critique
Evaluate UI design variants against a multi-dimensional rubric for design system token adherence.
review
Review code against architectural, security, and design specifications.
retro
Log project observations, failures, and successes into structured JSONL files.
compound
Analyze retro log files to identify recurring development frictions across work packages.
write-docs
Optimize user-facing documentation with reading-funnel principles and usability rules.
architecture-critique
Evaluate technical software plans against an 11-dimension architectural rubric.
refine
Clarify software work package goals and generate a requirements document.
ship
Verify code review and CI status before merging pull requests.
write-code
Implement minimal code to pass failing tests in a TDD cycle.
Frequently Asked Questions About hyperidle
FAQPage SchemaWhat specific software engineering tasks does Hyperidle enable?▼
Hyperidle enables standardized work package creation, TDD-based implementation, architectural decision indexing, and multi-dimensional design critique. It facilitates the entire lifecycle from requirements refinement and technical specification generation to code review, test suite generation, and final pull request verification.
Which technical personas benefit most from these capabilities?▼
Software architects, lead developers, and UI/UX designers benefit from these capabilities. The framework is designed for engineering teams requiring rigorous adherence to architectural rubrics, standardized documentation, and systematic quality assurance processes during the development of complex software systems.
What are the primary prerequisites for implementing these processes?▼
Implementation requires established design system tokens, defined acceptance criteria for work packages, and a commitment to TDD practices. Users must maintain structured JSONL logs for project retrospectives to enable the friction analysis and architectural decision indexing features provided by the system.