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Imagine-That-Ai
GitHub creator profile

Imagine-That-Ai

Repository-level view of 21 collected skills across 1 GitHub repositories.

skills collected
21
repositories
1
updated
2026-07-12
repository explorer

Repositories and representative skills

windows-parity-worker
software-developers

Implement a bounded OpenBurnBar Windows parity milestone from reviewed VAL contracts with main-app composition, focused tests, baseline discipline, and Windows-host evidence preparation.

2026-07-12
zenith
software-developers

Runs a long-running mission using the Zenith continuous-improvement harness to dynamically orchestrate workers, testing, and stopping discipline.

2026-07-03
frontend-design
web-and-digital-interface-designers

Design consultation: understands your product, researches the landscape, proposes a complete design system (aesthetic, typography, color, layout, spacing, motion), and generates font+color preview pages. Creates DESIGN.md as your project's design source of truth. For existing sites, use /plan-design-review to infer the system instead. Use when asked to "design system", "brand guidelines", or "create DESIGN.md".

2026-06-24
burnbar-operator
software-developers

Use when asked about AI-agent spend, token usage, session history, workflow patterns, or cost investigations. Grounds all answers in OpenBurnBar/BurnBar local data via prompt context and MCP tools.

2026-06-17
qa
software-quality-assurance-analysts-and-testers

Run OpenBurnBar functional QA and write qa-results/report.md plus supporting artifacts.

2026-06-12
design-html
web-developers

Design finalization: generates production-quality Pretext-native HTML/CSS. Works with approved mockups from /design-shotgun, CEO plans from /plan-ceo-review, design review context from /plan-design-review, or from scratch with a user description. Text actually reflows, heights are computed, layouts are dynamic. 30KB overhead, zero deps. Smart API routing: picks the right Pretext patterns for each design type. Use when: "finalize this design", "turn this into HTML", "build me a page", "implement this design", or after any planning skill. Proactively suggest when user has approved a design or has a plan ready. (gstack) Voice triggers (speech-to-text aliases): "build the design", "code the mockup", "make it real".

2026-05-20
design-review
web-and-digital-interface-designers

Designer's eye QA: finds visual inconsistency, spacing issues, hierarchy problems, AI slop patterns, and slow interactions — then fixes them. Iteratively fixes issues in source code, committing each fix atomically and re-verifying with before/after screenshots. For plan-mode design review (before implementation), use /plan-design-review. Use when asked to "audit the design", "visual QA", "check if it looks good", or "design polish". Proactively suggest when the user mentions visual inconsistencies or wants to polish the look of a live site. (gstack)

2026-05-20
swiftui-expert-skill
software-developers

Write, review, or improve SwiftUI code following best practices for state management, view composition, performance, macOS-specific APIs, and iOS 26+ Liquid Glass adoption. Use when building new SwiftUI features, refactoring existing views, reviewing code quality, or adopting modern SwiftUI patterns.

2026-05-20
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