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ship frontend
A 100-gate quality gauntlet and CLI for building accessible, high-performance, token-driven frontend pages.
$24.90
ship frontend
Example session with this skill installed
Run a full audit on the current landing page directory in /warroom/builds/page-001/ and show me the gauntlet verdict.
- Read your context and instructions
- Compiled the ship frontend
- Generated the UI component
I have executed the Colosseum audit suite against the specified directory. The legion has evaluated the page against 100 static gates.
Gauntlet Verdict: page-001
| Cohort | Passed | Failed | Status |
|---|---|---|---|
| Structure | 12 | 0 | PASS |
| Accessibility | 18 | 2 | NO-SHIP |
| Performance | 10 | 1 | NO-SHIP |
| Responsive | 15 | 0 | PASS |
| SEO | 10 | 0 | PASS |
| Content | 12 | 0 | PASS |
| Ship Readiness | 15 | 5 | NO-SHIP |
Total Pass Rate: 92/100 (Regression Refused)
Critical Failures Detected
- G039 (A11y): Interactive elements missing visible focus indicators.
- G046 (Design): Hardcoded hex value
#F3F4F6found inindex.html. Refactor totokens.css. - G072 (Perf): Total CSS bundle exceeds 200KB budget (Current: 242KB).
Next steps
- Run
colosseum fix G039to generate the corrected focus state CSS following the A11y Tribunes' standards. - Move the hardcoded hex value in
index.htmlto themidnighttoken set intokens.css. - Run
colosseum tokens midnightto re-synchronize the stylesheet and reduce unused CSS declarations.
index.html
TSX · React component
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
About this skill
Frontend development often suffers from inconsistent design systems, poor accessibility, and performance regressions. This skill provides a deterministic command-line interface and structured audit system to build, transplant, and harden production-grade pages. It moves away from vague prompting by enforcing a 100-gate quality gauntlet that covers Core Web Vitals, WCAG 2.2 AA compliance, and responsive integrity.
What it does
- Deterministic building generates tokenized scaffolds from text briefs or screenshots using a design-token law.
- Automated auditing runs a 100-gate gauntlet across accessibility, SEO, performance, and responsive layout.
- Visual transplanting creates component checklists and scaffolds from uploaded design screenshots.
- Monotonic ledgering tracks quality scores over time to ensure no regressions are committed to the codebase.
- Token enforcement mandates all styling flows through CSS custom properties, blocking hardcoded hex values.
How it works
- Initialize the environment using
colosseum buildto generate a tokenized scaffold based on your project brief. - Execute
colosseum auditto receive a detailed verdict table showing which of the 100 gates passed or failed. - Resolve violations by running
colosseum fix <gate_id>to identify the specific squad responsible for the fix. - Finalize with
colosseum gauntletto verify the build meets binary ship-readiness criteria across all cohorts.
Frameworks & tools
This tool works with static HTML/CSS, React, and Next.js projects. It requires Node 18+ for measurement tooling and Python 3.10+ for the core CLI execution.
Why this beats prompting it yourself
Generic prompts often ignore accessibility standards or introduce inconsistent spacing and colors. This skill uses a rigid 100-gate gauntlet and a design-token law that forces the model to follow specific, measurable engineering constraints rather than aesthetic guesses.
Use cases
- Converting a whiteboard sketch or UI screenshot into a functional, accessible React component.
- Auditing an existing landing page to ensure it meets WCAG 2.2 AA and Core Web Vitals budgets.
- Hardening a dashboard layout to ensure it scales correctly across a 320px to 1920px responsive matrix.
- Refactoring legacy CSS into a clean, tokenized system with standardized themes.
Known limitations
Requires Python 3.10+ and Node 18+ for full measurement capabilities. The gauntlet does not support dynamic backend-rendered logic beyond static or client-side React codebases.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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