expo-cicd-workflows
Helps understand and write EAS workflow YAML files for Expo projects. Use this skill when the user asks about CI/CD or workflows in an Expo or EAS context, mentions .eas/workflows/, or wants help with EAS build pipelines or deployment automation.
- License 许可
- MIT
- 最近更新
- 2026-09-28
- Stars
- ★ 1
- Forks
- 0
01 前言 Front Matter
- name
- expo-cicd-workflows
- risk
- unknown
- source
- community
- license
- MIT License
- version
- 1.0.0
- category
- mobile
- description
- Helps understand and write EAS workflow YAML files for Expo projects. Use this skill when the user asks about CI/CD or workflows in an Expo or EAS context, mentions .eas/workflows/, or wants help with EAS build pipelines or deployment automation.
- allowed-tools
- Read,Write,Bash(node:*)
03 SKILL.md 正文
EAS Workflows Skill
Help developers write and edit EAS CI/CD workflow YAML files.
When to Use
- You need to create, edit, or validate
.eas/workflows/*.ymlfiles for an Expo project. - The task involves EAS build pipelines, deployment automation, workflow triggers, or Expo CI/CD configuration.
- You need schema-backed workflow guidance rather than relying on stale memorized syntax.
Reference Documentation
Fetch these resources before generating or validating workflow files. Use the fetch script (implemented using Node.js) in this skill's scripts/ directory; it caches responses using ETags for efficiency:
# Fetch resources
node {baseDir}/scripts/fetch.js <url>
-
JSON Schema — https://api.expo.dev/v2/workflows/schema
- It is NECESSARY to fetch this schema
- Source of truth for validation
- All job types and their required/optional parameters
- Trigger types and configurations
- Runner types, VM images, and all enums
-
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
-
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).
Top-Level Structure
A workflow file has these top-level keys:
name— Display name for the workflowon— Triggers that start the workflow (at least one required)jobs— Job definitions (required)defaults— Shared defaults for all jobsconcurrency— 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 informationinputs.*— Values fromworkflow_dispatchinputsneeds.*— Outputs and status from dependent jobsjobs.*— Job outputs (alternative syntax)steps.*— Step outputs within custom jobsworkflow.*— Workflow metadata
Generating Workflows
When generating or editing workflows:
- Fetch the schema to get current job types, parameters, and allowed values
- Validate that required fields are present for each job type
- Verify job references in
needsandafterexist in the workflow - Check that expressions reference valid contexts and outputs
- Ensure
ifconditions respect the schema's length constraints
Validation
After generating or editing a workflow file, validate it against the schema:
# Install dependencies if missing
[ -d "{baseDir}/scripts/node_modules" ] || npm install --prefix {baseDir}/scripts
node {baseDir}/scripts/validate.js <workflow.yml> [workflow2.yml ...]
The validator fetches the latest schema and checks the YAML structure. Fix any reported errors before considering the workflow complete.
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.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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