antigravity-workflows

Orchestrate multiple Antigravity skills through guided workflows for SaaS MVP delivery, security audits, AI agent builds, and browser QA.

16 stars

Best use case

antigravity-workflows is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Orchestrate multiple Antigravity skills through guided workflows for SaaS MVP delivery, security audits, AI agent builds, and browser QA.

Teams using antigravity-workflows should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/antigravity-workflows/SKILL.md --create-dirs "https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/main/skills/ai-agents/antigravity-workflows/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/antigravity-workflows/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How antigravity-workflows Compares

Feature / Agentantigravity-workflowsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Orchestrate multiple Antigravity skills through guided workflows for SaaS MVP delivery, security audits, AI agent builds, and browser QA.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Antigravity Workflows

Use this skill to turn a complex objective into a guided sequence of skill invocations.

## When to Use This Skill

Use this skill when:
- The user wants to combine several skills without manually selecting each one.
- The goal is multi-phase (for example: plan, build, test, ship).
- The user asks for best-practice execution for common scenarios like:
  - Shipping a SaaS MVP
  - Running a web security audit
  - Building an AI agent system
  - Implementing browser automation and E2E QA

## Workflow Source of Truth

Read workflows in this order:
1. `docs/WORKFLOWS.md` for human-readable playbooks.
2. `data/workflows.json` for machine-readable workflow metadata.

## How to Run This Skill

1. Identify the user's concrete outcome.
2. Propose the 1-2 best matching workflows.
3. Ask the user to choose one.
4. Execute step-by-step:
   - Announce current step and expected artifact.
   - Invoke recommended skills for that step.
   - Verify completion criteria before moving to next step.
5. At the end, provide:
   - Completed artifacts
   - Validation evidence
   - Remaining risks and next actions

## Default Workflow Routing

- Product delivery request -> `ship-saas-mvp`
- Security review request -> `security-audit-web-app`
- Agent/LLM product request -> `build-ai-agent-system`
- E2E/browser testing request -> `qa-browser-automation`

## Copy-Paste Prompts

```text
Use @antigravity-workflows to run the "Ship a SaaS MVP" workflow for my project idea.
```

```text
Use @antigravity-workflows and execute a full "Security Audit for a Web App" workflow.
```

```text
Use @antigravity-workflows to guide me through "Build an AI Agent System" with checkpoints.
```

```text
Use @antigravity-workflows to execute the "QA and Browser Automation" workflow and stabilize flaky tests.
```

## Limitations

- This skill orchestrates; it does not replace specialized skills.
- It depends on the local availability of referenced skills.
- It does not guarantee success without environment access, credentials, or required infrastructure.
- For stack-specific browser automation in Go, `go-playwright` may require the corresponding skill to be present in your local skills repository.

## Related Skills

- `concise-planning`
- `brainstorming`
- `workflow-automation`
- `verification-before-completion`

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