MJ-AgentLab
Official@mj-agentlab
Building intelligent agents for data analytics
Agent Skills by MJ-AgentLab
Showing 24 vetted skills indexed across 1 GitHub repositories.
MJ-AgentLabcheck-merge
Check Pull Request merge readiness via GitHub CLI for conflicts, CI, and approvals.
MJ-AgentLabpush
Push code to Gitee and GitHub after validating eight pre-push checks.
MJ-AgentLabreview-pr
Automate Pull Request reviews for architecture compliance and DDD structure.
MJ-AgentLabsync
Synchronize local Git branches with remote or base branches.
MJ-AgentLabpr
Create GitHub Pull Requests with templates, reviewers, and deploy keywords.
MJ-AgentLabcommit
Stage files and generate type-scope-summary Git commit messages.
MJ-AgentLabdelete
Delete Git branches and worktrees with safety confirmations.
MJ-AgentLabissue
Create GitHub Issues from predefined templates via the GitHub CLI.
MJ-AgentLabbranch
Create Git branches and worktrees with enforced naming conventions.
MJ-AgentLabmigrate
Convert legacy documentation formats into compliant Framework v4 documents.
MJ-AgentLabauthor
Generate Framework v4-compliant MJ System documents from code analysis.
MJ-AgentLabvalidate
Validate MJ System documentation against Framework v4 and Obsidian Markdown rules.
MJ-AgentLabplan
Analyze documentation requirements and generate implementation plans for MJ System topics.
MJ-AgentLabreview
Review pull requests for documentation completeness and quality gate standards.
MJ-AgentLabetl-ods-to-dwd
Manually trigger the QVL ETL pipeline from biz_ods to biz_dwd via direct SQL calls.
MJ-AgentLabetl-dwd-to-dws
Trigger the QCM ETL 5-phase pipeline from biz_dwd to biz_dws via PostgreSQL.
MJ-AgentLabenv-setup
Automate Docker full-stack setup with database initialization and n8n configuration.
MJ-AgentLabenv-teardown
Stop Docker containers, remove volumes, and purge local images.
MJ-AgentLabrender
Render n8n workflow templates into environment-specific JSON files with PyYAML.
MJ-AgentLabmj-n8n-author
Generate n8n workflow JSON templates with nodes and connections from design specifications.
MJ-AgentLabtemplate
Convert n8n workflow JSON into environment-agnostic templates with placeholders.
MJ-AgentLabconfig
Configure n8n trigger entries and environment parameters in YAML files.
MJ-AgentLabdoc
Generate README.md and CHANGELOG.md documentation from n8n workflow.json files.
MJ-AgentLabpromote
Promote n8n workflows through DEV, TEST, and PRODUCTION environments with checks and rollback.
Frequently Asked Questions About MJ-AgentLab
FAQPage SchemaWhat specific tasks can engineers perform using MJ-AgentLab?▼
Engineers can manage Git lifecycles, validate documentation against Framework v4 standards, execute PostgreSQL ETL pipelines between ODS and DWS layers, and render environment-specific n8n configurations from agnostic templates.
Which technical personas benefit most from these capabilities?▼
These capabilities are designed for DevOps engineers, technical writers, and backend developers who require strict adherence to DDD architecture, documentation quality gates, and standardized environment promotion cycles.
What are the primary prerequisites for running these environment management functions?▼
Users must have Docker installed for container orchestration, a configured PostgreSQL instance for ETL operations, and the GitHub environment initialized to support the provided repository management and pull request validation functions.