eas-workflows
eas-workflows is an code AI skill with a core value of Curated upstream guidance for Eas Workflows; use when the workflow matches the user goal. It
helps developers solve real-world problems in the code domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Curated upstream guidance for Eas Workflows; use when the workflow matches the user goal.
Quick Facts
mkdir -p ./skills/eas-workflows && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/eas-workflows/SKILL.md -o ./skills/eas-workflows/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
When to Use
- Use when this upstream workflow matches the user's stated goal.
- Use when the task requires the procedures documented in this skill.
# EAS Workflows Skill
> **EAS service - costs apply.** EAS Workflows run on Expo Application Services, a paid product with free-tier limits. Each workflow job consumes your plan's build/compute minutes, and jobs that build or submit also need paid Apple Developer and Google Play accounts. Review https://expo.dev/pricing before triggering runs.
Help developers write and edit EAS CI/CD workflow YAML files.
Reference Documentation
Fetch these resources before generating or editing workflow files, or when answering syntax questions. First resolve this skill's directory, then use the fetch script in its `scripts/` directory. It is implemented using Node.js and caches responses using ETags for efficiency:
# Fetch resources
node <skill-dir>/scripts/fetch.js <url>1. **JSON Schema** — https://api.expo.dev/v2/workflows/schema
- It is NECESSARY to fetch this schema
- Source of truth for the workflow YAML structure; EAS CLI remains the authoritative final validator
- All job types and their required/optional parameters
- Trigger types and configurations
- Runner types, VM images, and all enums
2. **Syntax Documentation** — https://raw.githubusercontent.com/expo/expo/refs/heads/main/docs/pages/eas/workflows/syntax.mdx
- Overview of workflow YAML syntax
- Examples and English explanations
- Expression syntax and contexts
3. **Pre-packaged Jobs** — https://raw.githubusercontent.com/expo/expo/refs/heads/main/docs/pages/eas/workflows/pre-packaged-jobs.mdx
- Documentation for supported pre-packaged job types
- Job-specific parameters and outputs
Do not rely on memorized values; these resources evolve as new features are added.
Workflow File Location
Workflows live in `.eas/workflows/*.yml` (or `.yaml`). Each file must be 16 KiB or smaller.
Top-Level Structure
A workflow file has these top-level keys:
- `name` — Display name for the workflow
- `on` — Triggers that start the workflow (at least one required)
- `jobs` — Job definitions (required)
- `defaults` — Shared defaults for all jobs
- `concurrency` — Control parallel workflow runs
Consult the schema for the full specification of each section.
Expressions
Use `${{ }}` syntax for dynamic values. The schema defines available contexts:
- `github.*` — GitHub repository and event information
- `inputs.*` — Values from `workflow_dispatch` inputs
- `needs.*` — Outputs and status from dependent jobs
- `jobs.*` — Job outputs (alternative syntax)
- `steps.*` — Step outputs within custom jobs
- `workflow.*` — Workflow metadata
Generating Workflows
When generating or editing workflows:
1. Fetch the schema to get current job types, parameters, and allowed values
2. Validate that required fields are present for each job type
3. Verify job references in `needs` and `after` exist in the workflow
4. Check that expressions reference valid contexts and outputs
5. Ensure `if` conditions respect the schema's length constraints
Validation
After generating or editing a workflow file, validate it with EAS CLI from the Expo project root:
npx -y eas-cli@latest workflow:validate .eas/workflows/<workflow.yml> --non-interactiveRun the command separately for each changed workflow file. It requires a logged-in EAS CLI session and a linked Expo project. Unlike schema-only validation, it also checks build profile references against the project's `eas.json` and performs EAS server-side validation. Fix every reported error and rerun the command until it prints `Workflow configuration YAML is valid.` Do not replace this command with a local YAML or JSON Schema validator.
Answering Questions
When users ask about available options (job types, triggers, runner types, etc.), fetch the schema and derive the answer from it rather than relying on potentially outdated information.
S
🎯 Best For
- UI designers
- Product designers
- Claude users
- Software engineers
- Development teams
💡 Use Cases
- Generating component mockups
- Creating design system tokens
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply eas-workflows to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Does this work with Figma?
Some design skills integrate with Figma plugins. Check the Works With section for supported tools.
Is eas-workflows compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for eas-workflows?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install eas-workflows?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/eas-workflows/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping usability testing
AI-generated designs should be validated with real users before development.
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.