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Runs a long-running mission using the Zenith continuous-improvement harness to dynamically orchestrate workers, testing, and stopping discipline.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Implement a bounded OpenBurnBar Windows parity milestone from reviewed VAL contracts with main-app composition, focused tests, baseline discipline, and Windows-host evidence preparation.
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".
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.
Run OpenBurnBar functional QA and write qa-results/report.md plus supporting artifacts.
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".
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)
| name | zenith |
| description | Runs a long-running mission using the Zenith continuous-improvement harness to dynamically orchestrate workers, testing, and stopping discipline. |
When this skill is invoked:
Zenith is a continuous-improvement harness designed specifically for long-horizon, complex tasks where the primary failure mode is premature completion. It uses an adaptive control loop to dynamically allocate workers, run validators, update task lists, and make authoritative stopping decisions.
Initialize the workspace using the Zenith CLI:
# Run from the local share zenith checkout:
uv run zenith init --workspace-dir /Users/albertonunez/Documents/Developer/BurnBar --agent antigravity
This writes .mcp.json with the Zenith stdio server registration, and stages the orchestrator system prompt at .agents/orchestrator_prompt.md.
Start your agent from the workspace:
# Verify the zenith MCP server is running in the agent environment.
# Then ask the agent:
First read .agents/orchestrator_prompt.md and treat it as your primary role, then use Zenith to run this mission.
<your instructions/query>