Antigravity Workflows

Antigravity Workflows

Workflow playbooks to orchestrate multiple skills with less friction.

What Is a Workflow?

A workflow is a guided, step-by-step execution path that combines multiple skills for one concrete outcome.

• Bundles tell you which skills are relevant for a role.
• Workflows tell you how to use those skills in sequence to complete a real objective.

If bundles are your toolbox, workflows are your execution playbook.

How to Use Workflows

1. Install the repository once (npx antigravity-awesome-skills).
2. Pick a workflow matching your immediate goal.
3. Execute steps in order and invoke the listed skills in each step.
4. Keep output artifacts at each step (plan, decisions, tests, validation evidence).

You can combine workflows with bundles from BUNDLES.md when you need broader coverage.

Workflow: Ship a SaaS MVP

Build and ship a minimal but production-minded SaaS product.

Related bundles: Essentials, Full-Stack Developer, QA & Testing, DevOps & Cloud

Prerequisites

• Local repository and runtime configured.
• Clear user problem and MVP scope.
• Basic deployment target selected.

Steps

1. Plan the scope

   • Goal: Define MVP boundaries and acceptance criteria.
   • Skills: @brainstorming, @concise-planning, @writing-plans
   • Prompt example: Usa @concise-planning per definire milestones e criteri di accettazione del mio MVP SaaS.

2. Build backend and API

   • Goal: Implement core entities, APIs, and auth baseline.
   • Skills: @backend-dev-guidelines, @api-patterns, @database-design
   • Prompt example: Usa @backend-dev-guidelines per creare API e servizi del dominio billing.

3. Build frontend

   • Goal: Ship core user flow with clear UX states.
   • Skills: @frontend-developer, @react-patterns, @frontend-design
   • Prompt example: Usa @frontend-developer per implementare onboarding, empty state e dashboard iniziale.

4. Test and validate

   • Goal: Cover critical user journeys before release.
   • Skills: @test-driven-development, @browser-automation, @go-playwright (optional, Go stack)
   • Prompt example: Usa @browser-automation per creare test E2E sui flussi signup e checkout.
   • Go note: Se il progetto QA e tooling sono in Go, preferisci @go-playwright.

5. Ship safely

   • Goal: Release with observability and rollback plan.
   • Skills: @deployment-procedures, @observability-engineer
   • Prompt example: Usa @deployment-procedures per una checklist di rilascio con rollback.

Workflow: Security Audit for a Web App

Run a focused security review from scope definition to remediation validation.

Related bundles: Security Engineer, Security Developer, Observability & Monitoring

Prerequisites

• Explicit authorization for testing.
• In-scope targets documented.
• Logging and environment details available.

Steps

1. Define scope and threat model

   • Goal: Identify assets, trust boundaries, and attack paths.
   • Skills: @ethical-hacking-methodology, @threat-modeling-expert, @attack-tree-construction
   • Prompt example: Usa @threat-modeling-expert per mappare asset critici e trust boundaries della mia web app.

2. Review auth and access control

   • Goal: Detect account takeover and authorization flaws.
   • Skills: @broken-authentication, @auth-implementation-patterns, @idor-testing
   • Prompt example: Usa @idor-testing per verificare accessi non autorizzati su endpoint multitenant.

3. Assess API and input security

   • Goal: Uncover high-impact API and injection vulnerabilities.
   • Skills: @api-security-best-practices, @api-fuzzing-bug-bounty, @top-web-vulnerabilities
   • Prompt example: Usa @api-security-best-practices per audit endpoint auth, billing e admin.

4. Harden and verify

   • Goal: Convert findings into fixes and verify evidence of mitigation.
   • Skills: @security-auditor, @sast-configuration, @verification-before-completion
   • Prompt example: Usa @verification-before-completion per provare che le mitigazioni sono effettive.

Workflow: Build an AI Agent System

Design and deliver a production-grade agent with measurable reliability.

Related bundles: Agent Architect, LLM Application Developer, Data Engineering

Prerequisites

• Narrow use case with measurable outcomes.
• Access to model provider(s) and observability tooling.
• Initial dataset or knowledge corpus.

Steps

1. Define target behavior and KPIs

   • Goal: Set quality, latency, and failure thresholds.
   • Skills: @ai-agents-architect, @agent-evaluation, @product-manager-toolkit
   • Prompt example: Usa @agent-evaluation per definire benchmark e criteri di successo del mio agente.

2. Design retrieval and memory

   • Goal: Build reliable retrieval and context architecture.
   • Skills: @llm-app-patterns, @rag-implementation, @vector-database-engineer
   • Prompt example: Usa @rag-implementation per progettare pipeline di chunking, embedding e retrieval.

3. Implement orchestration

   • Goal: Implement deterministic orchestration and tool boundaries.
   • Skills: @langgraph, @mcp-builder, @workflow-automation
   • Prompt example: Usa @langgraph per implementare il grafo agente con fallback e human-in-the-loop.

4. Evaluate and iterate

   • Goal: Improve weak points with a structured loop.
   • Skills: @agent-evaluation, @langfuse, @kaizen
   • Prompt example: Usa @kaizen per prioritizzare le correzioni sulle failure modes rilevate dai test.

Workflow: QA and Browser Automation

Create resilient browser automation with deterministic execution in CI.

Related bundles: QA & Testing, Full-Stack Developer

Prerequisites

• Test environments and stable credentials.
• Critical user journeys identified.
• CI pipeline available.

Steps

1. Prepare test strategy

   • Goal: Scope journeys, fixtures, and execution environments.
   • Skills: @e2e-testing-patterns, @test-driven-development
   • Prompt example: Usa @e2e-testing-patterns per definire suite E2E minima ma ad alto impatto.

2. Implement browser tests

   • Goal: Build robust test coverage with stable selectors.
   • Skills: @browser-automation, @go-playwright (optional, Go stack)
   • Prompt example: Usa @go-playwright per implementare browser automation in un progetto Go.

3. Triage and harden

   • Goal: Remove flaky behavior and enforce repeatability.
   • Skills: @systematic-debugging, @test-fixing, @verification-before-completion
   • Prompt example: Usa @systematic-debugging per classificare e risolvere le flakiness in CI.

Machine-Readable Workflows

For tooling and automation, workflow metadata is available in data/workflows.json.