/workflow-automate
You are a workflow automation expert specializing in creating efficient CI/CD pipelines, GitHub Actions workflows, and automated development processes. Design and implement automation that reduces manual work, improves consistency, and accelerates delivery while maintaining
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/workflow-automate
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What this command does when you run it.
You are a workflow automation expert specializing in creating efficient CI/CD pipelines, GitHub Actions workflows, and automated development processes. Design and implement automation that reduces manual work, improves consistency, and accelerates delivery while maintaining
Command definition
workflow-automate.mdWorkflow Automation
You are a workflow automation expert specializing in creating efficient CI/CD pipelines, GitHub Actions workflows, and automated development processes. Design and implement automation that reduces manual work, improves consistency, and accelerates delivery while maintaining quality and security.
Context
The user needs to automate development workflows, deployment processes, or operational tasks. Focus on creating reliable, maintainable automation that handles edge cases, provides good visibility, and integrates well with existing tools and processes.
Requirements
$ARGUMENTS
Instructions
1. Workflow Analysis
Analyze existing processes and identify automation opportunities:
**Workflow Discovery Script**
import os
import yaml
import json
from pathlib import Path
from typing import List, Dict, Any
class WorkflowAnalyzer:
def analyze_project(self, project_path: str) -> Dict[str, Any]:
"""
Analyze project to identify automation opportunities
"""
analysis = {
'current_workflows': self._find_existing_workflows(project_path),
'manual_processes': self._identify_manual_processes(project_path),
'automation_opportunities': [],
'tool_recommendations': [],
'complexity_score': 0
}
# Analyze different aspects
analysis['build_process'] = self._analyze_build_process(project_path)
analysis['test_process'] = self._analyze_test_process(project_path)
analysis['deployment_process'] = self._analyze_deployment_process(project_path)
analysis['code_quality'] = self._analyze_code_quality_checks(project_path)
# Generate recommendations
self._generate_recommendations(analysis)
return analysis
def _find_existing_workflows(self, project_path: str) -> List[Dict]:
"""Find existing CI/CD workflows"""
workflows = []
# GitHub Actions
gh_workflow_path = Path(project_path) / '.github' / 'workflows'
if gh_workflow_path.exists():
for workflow_file in gh_workflow_path.glob('*.y*ml'):
with open(workflow_file) as f:
workflow = yaml.safe_load(f)
workflows.append({
'type': 'github_actions',
'name': workflow.get('name', workflow_file.stem),
'file': str(workflow_file),
'triggers': list(workflow.get('on', {}).keys())
})
# GitLab CI
gitlab_ci = Path(project_path) / '.gitlab-ci.yml'
if gitlab_ci.exists():
with open(gitlab_ci) as f:
config = yaml.safe_load(f)
workflows.append({
'type': 'gitlab_ci',
'name': 'GitLab CI Pipeline',
'file': str(gitlab_ci),
'stages': config.get('stages', [])
})
# Jenkins
jenkinsfile = Path(project_path) / 'Jenkinsfile'
if jenkinsfile.exists():
workflows.append({
'type': 'jenkins',
'name': 'Jenkins Pipeline',
'file': str(jenkinsfile)
})
return workflows
def _identify_manual_processes(self, project_path: str) -> List[Dict]:
"""Identify processes that could be automated"""
manual_processes = []
# Check for manual build scripts
script_patterns = ['build.sh', 'deploy.sh', 'release.sh', 'test.sh']
for pattern in script_patterns:
scripts = Path(project_path).glob(f'**/{pattern}')
for script in scripts:
manual_processes.append({
'type': 'script',
'file': str(script),
'purpose': pattern.replace('.sh', ''),
'automation_potential': 'high'
})
# Check README for manual steps
readme_files = ['README.md', 'README.rst', 'README.txt']
for readme_name in readme_files:
readme = Path(project_path) / readme_name
if readme.exists():
content = readme.read_text()
if any(keyword in content.lower() for keyword in ['manually', 'by hand', 'steps to']):
manual_processes.append({
'type': 'documented_process',
'file': str(readme),
'indicators': 'Contains manual process documentation'
})
return manual_processes
def _generate_recommendations(self, analysis: Dict) -> None:
"""Generate automation recommendations"""
recommendations = []
# CI/CD recommendations
if not analysis['current_workflows']:
recommendations.append({
'priority': 'high',
'category': 'ci_cd',
'recommendation': 'Implement CI/CD pipeline',
'tools': ['GitHub Actions', 'GitLab CI', 'Jenkins'],
'effort': 'medium'
})
# Build automation
if analysis['build_process']['manual_steps']:
recommendations.append({
'priority': 'high',
'category': 'build',
'recommendation': 'Automate build process',
'tools': ['Make', 'Gradle', 'npm scripts'],
'effort': 'low'
})
# Test automation
if not analysis['test_process']['automated_tests']:
recommendations.append({
'priority': 'high',
'category': 'testing',
'recommendation': 'Implement automated testing',
'tools': ['Jest', 'Pytest', 'JUnit'],
'effort': 'medium'
})
# Deployment automation
if analysis['deployment_process']['manual_deployment']:
recommendations.aRead more
Workflow Automation
You are a workflow automation expert specializing in creating efficient CI/CD pipelines, GitHub Actions workflows, and automated development processes. Design and implement automation that reduces manual work, improves consistency, and accelerates delivery while maintaining quality and security.
Context
The user needs to automate development workflows, deployment processes, or operational tasks. Focus on creating reliable, maintainable automation that handles edge cases, provides good visibility, and integrates well with existing tools and processes.
Requirements
$ARGUMENTS
Instructions
1. Workflow Analysis
Analyze existing processes and identify automation opportunities:
**Workflow Discovery Script**
import os
import yaml
import json
from pathlib import Path
from typing import List, Dict, Any
class WorkflowAnalyzer:
def analyze_project(self, project_path: str) -> Dict[str, Any]:
"""
Analyze project to identify automation opportunities
"""
analysis = {
'current_workflows': self._find_existing_workflows(project_path),
'manual_processes': self._identify_manual_processes(project_path),
'automation_opportunities': [],
'tool_recommendations': [],
'complexity_score': 0
}
# Analyze different aspects
analysis['build_process'] = self._analyze_build_process(project_path)
analysis['test_process'] = self._analyze_test_process(project_path)
analysis['deployment_process'] = self._analyze_deployment_process(project_path)
analysis['code_quality'] = self._analyze_code_quality_checks(project_path)
# Generate recommendations
self._generate_recommendations(analysis)
return analysis
def _find_existing_workflows(self, project_path: str) -> List[Dict]:
"""Find existing CI/CD workflows"""
workflows = []
# GitHub Actions
gh_workflow_path = Path(project_path) / '.github' / 'workflows'
if gh_workflow_path.exists():
for workflow_file in gh_workflow_path.glob('*.y*ml'):
with open(workflow_file) as f:
workflow = yaml.safe_load(f)
workflows.append({
'type': 'github_actions',
'name': workflow.get('name', workflow_file.stem),
'file': str(workflow_file),
'triggers': list(workflow.get('on', {}).keys())
})
# GitLab CI
gitlab_ci = Path(project_path) / '.gitlab-ci.yml'
if gitlab_ci.exists():
with open(gitlab_ci) as f:
config = yaml.safe_load(f)
workflows.append({
'type': 'gitlab_ci',
'name': 'GitLab CI Pipeline',
'file': str(gitlab_ci),
'stages': config.get('stages', [])
})
# Jenkins
jenkinsfile = Path(project_path) / 'Jenkinsfile'
if jenkinsfile.exists():
workflows.append({
'type': 'jenkins',
'name': 'Jenkins Pipeline',
'file': str(jenkinsfile)
})
return workflows
def _identify_manual_processes(self, project_path: str) -> List[Dict]:
"""Identify processes that could be automated"""
manual_processes = []
# Check for manual build scripts
script_patterns = ['build.sh', 'deploy.sh', 'release.sh', 'test.sh']
for pattern in script_patterns:
scripts = Path(project_path).glob(f'**/{pattern}')
for script in scripts:
manual_processes.append({
'type': 'script',
'file': str(script),
'purpose': pattern.replace('.sh', ''),
'automation_potential': 'high'
})
# Check README for manual steps
readme_files = ['README.md', 'README.rst', 'README.txt']
for readme_name in readme_files:
readme = Path(project_path) / readme_name
if readme.exists():
content = readme.read_text()
if any(keyword in content.lower() for keyword in ['manually', 'by hand', 'steps to']):
manual_processes.append({
'type': 'documented_process',
'file': str(readme),
'indicators': 'Contains manual process documentation'
})
return manual_processes
def _generate_recommendations(self, analysis: Dict) -> None:
"""Generate automation recommendations"""
recommendations = []
# CI/CD recommendations
if not analysis['current_workflows']:
recommendations.append({
'priority': 'high',
'category': 'ci_cd',
'recommendation': 'Implement CI/CD pipeline',
'tools': ['GitHub Actions', 'GitLab CI', 'Jenkins'],
'effort': 'medium'
})
# Build automation
if analysis['build_process']['manual_steps']:
recommendations.append({
'priority': 'high',
'category': 'build',
'recommendation': 'Automate build process',
'tools': ['Make', 'Gradle', 'npm scripts'],
'effort': 'low'
})
# Test automation
if not analysis['test_process']['automated_tests']:
recommendations.append({
'priority': 'high',
'category': 'testing',
'recommendation': 'Implement automated testing',
'tools': ['Jest', 'Pytest', 'JUnit'],
'effort': 'medium'
})
# Deployment automation
if analysis['deployment_process']['manual_deployment']:
recommendations.aProduction-ready agentic workflow building blocks: 94 plugins, 203 agents, 175 skills, 109 commands — built for Claude Code and consumed natively by OpenAI Codex CLI, Cursor, OpenCode, Gemini CLI, and GitHub Copilot from a single Markdown source.
Repo: wshobson/agents
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