bundled-skills/antigravity-workflows/SKILL.md
Orchestrate multiple Antigravity skills through guided workflows for SaaS MVP delivery, security audits, AI agent builds, and browser QA.
npx skillsauth add FrancoStino/opencode-skills-antigravity antigravity-workflowsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Use this skill to turn a complex objective into a guided sequence of skill invocations.
Use this skill when:
Read workflows in this order:
docs/WORKFLOWS.md for human-readable playbooks.data/workflows.json for machine-readable workflow metadata.ship-saas-mvpsecurity-audit-web-appbuild-ai-agent-systemqa-browser-automationdesign-ddd-core-domainUse @antigravity-workflows to run the "Ship a SaaS MVP" workflow for my project idea.
Use @antigravity-workflows and execute a full "Security Audit for a Web App" workflow.
Use @antigravity-workflows to guide me through "Build an AI Agent System" with checkpoints.
Use @antigravity-workflows to execute the "QA and Browser Automation" workflow and stabilize flaky tests.
Use @antigravity-workflows to execute the "Design a DDD Core Domain" workflow for my new service.
go-playwright may require the corresponding skill to be present in your local skills repository.concise-planningbrainstormingworkflow-automationverification-before-completiontools
Authorized security assessment of LLM applications and AI agents: prompt injection, tool abuse, RAG exposure, memory poisoning, system-prompt extraction, and agent-compliance engineering per OWASP LLM/ASI Top 10.
development
Builds two parameterized UI modes—流光溢彩白 (iridescent white) and 五彩斑斓黑 (colorful black)—with OKLCH, WebGL/CSS fallback, vision gating, screenshot QA, and total/per-color intensity reports. Use when a UI request names either mode or needs measured color parameters.
tools
Delegate coding tasks to the Kimi Code CLI (`kimi`) only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.
development
Front-end JavaScript reverse engineering: locate signature chains, analyze encrypted request parameters, sample runtime behavior, and reproduce logic locally in Node for evidence-based output.