techwavedev 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:
docs/WORKFLOWS.mdfor human-readable playbooks.data/workflows.jsonfor machine-readable workflow metadata.
How to Run This Skill
- Identify the user's concrete outcome.
- Propose the 1-2 best matching workflows.
- Ask the user to choose one.
- Execute step-by-step:
- Announce current step and expected artifact.
- Invoke recommended skills for that step.
- Verify completion criteria before moving to next step.
- 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 - Domain-driven design request ->
design-ddd-core-domain
Copy-Paste Prompts
Use @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.
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-playwrightmay require the corresponding skill to be present in your local skills repository.
Related Skills
concise-planningbrainstormingworkflow-automationverification-before-completion
AGI Framework Integration
Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills
Memory-First Protocol
Cache workflow configurations and automation patterns. Retrieve prior pipeline designs to avoid re-building similar flows from scratch.
# Check for prior workflow/automation context before starting
python3 execution/memory_manager.py auto --query "automation patterns and workflow configurations for Antigravity Workflows"
Storing Results
After completing work, store workflow/automation decisions for future sessions:
python3 execution/memory_manager.py store \
--content "Workflow: automated data pipeline with retry logic, dead-letter queue, and Slack alerts on failure" \
--type technical --project <project> \
--tags antigravity-workflows workflow
Multi-Agent Collaboration
Share workflow state with other agents so they can trigger, monitor, or extend the automation.
python3 execution/cross_agent_context.py store \
--agent "<your-agent>" \
--action "Workflow automation deployed — pipeline processing 1000+ events/day with 99.9% success rate" \
--project <project>
Playbook Engine
Combine this skill with others using the Playbook Engine (execution/workflow_engine.py) for guided multi-step automation with progress tracking.