MJ-AgentLab
Official@mj-agentlab
Building intelligent agents for data analytics
Agent Skills by MJ-AgentLab
Showing 66 vetted skills indexed across 2 GitHub repositories.
mj-agent-flow-implement
Enforces red-green-refactor, root-cause-first, and fresh-evidence coding methodology for mj-agent Stage 8 implementation.
mj-agent-git-check-merge
Checks GitHub PR merge readiness across conflicts, CI, reviews, and description completeness.
mj-agent-runtime-biz-catalog-sync
Detects drift between the qcm_catalog.yaml mirror and upstream naming standards, then proposes read-only diffs.
mj-agent-git-review-pr
Reviews other contributors' GitHub pull requests for architecture compliance and data-boundary safety.
mj-agent-runtime-eval-baseline
Drafts read-only EVAL baseline proposals for mj-agent skills and system prompts.
mj-agent-infra-storage-stack
Inspect, back up, and troubleshoot the mj-agent Postgres and Redis storage stack.
mj-agent-flow-verify
Orchestrates local verification by auto-running read-only checks and confirming side-effecting tests.
mj-agent-flow-repo-scan
Verifies plans against mj-agent repository state before implementation begins.
mj-agent-flow-scope-drift
Detects implementation scope drift by comparing git diffs against linked Plan, SPEC, and Issue scope.
mj-agent-flow-post-merge
Orchestrates post-merge cleanup including issue closure, changelog drafts, branch deletion, and plan state updates.
mj-agent-doc-plan
Evaluates documentation needs for mj-agent changes and outputs a 10-row decision matrix.
mj-agent-git-delete
Deletes Git branches and worktrees with dual-remote cleanup and safety confirmations.
mj-agent-infra-studio-probe
Runs LangGraph Studio walkthrough probes validating mj-agent happy-path queries and data boundary red lines.
mj-agent-runtime-skill-doc-improve
Proposes reviewed diffs for mj-agent runtime SKILL.md body content without direct writes.
mj-agent-flow-review-respond
Classifies PR review comments and drafts modification plans with reply templates.
mj-agent-git-branch
Creates Git branches and worktrees for mj-agent's bare-repo five-branch-type workflow.
mj-agent-doc-review
Reviews pull requests for documentation completeness against Meta v2.1 quality gate checklists.
mj-agent-doc-migrate
Migrates versioned canonical docs to archive directories with frontmatter and wikilink updates.
mj-agent-doc-validate
Validates mj-agent documentation frontmatter, wikilinks, and format compliance against Meta v2.1 standards.
mj-agent-git-commit
Creates Git commits enforcing type(scope) message format and branch-type discipline.
mj-agent-infra-docker-compose
Manages the mj-agent Docker Compose stack lifecycle across dev, test, and prod profiles.
mj-agent-git-sync
Merge latest develop or main changes into the current Git working branch.
mj-agent-doc-author
Creates Meta v2.1-compliant mj-agent documents from scope analysis through validation.
mj-agent-infra-llm-endpoint-probe
Probes OpenAI-compatible local LLM endpoints for reachability, model match, and chat smoke.
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.