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By jugrajsingh
Makefile generation for local development, deployment, and root orchestration with audit capabilities
npx claudepluginhub jugrajsingh/skillgarden --plugin makesmithAudit existing Makefiles against conventions and best practices
Generate Makefile.deploy with DevOps targets (build, push, deploy via Helm/kubectl)
Generate Makefile.local with local development targets (venv, install, test, lint, format)
Generate root Makefile that delegates to Makefile.local and Makefile.deploy
Generate pre-commit hook for Makefile linting with mbake
Use when checking Makefiles for convention violations, missing PHONY declarations, hardcoded paths, or poor role separation between dev and deploy targets
Use when a project needs DevOps targets for building Docker images, pushing to registries (GCR/ECR/ACR), and deploying via Helm, kubectl, or Docker Compose
Use when a Python project needs a Makefile.local for local development targets (test, lint, format, setup) with configurable venv location
Use when a project needs a root Makefile that delegates to Makefile.local and Makefile.deploy with a self-documenting help banner
Use when adding Makefile linting to pre-commit configuration, or when Makefiles have inconsistent formatting
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Complete developer toolkit for Claude Code
Multi-agent /workflow development pipeline (planner → plan-review → coder → code-review) with typed handoff contracts, lifecycle hooks, and MCP servers.
Context-Driven Development plugin that transforms Claude Code into a project management tool with structured workflow: Context → Spec & Plan → Implement
Use this agent when setting up CI/CD pipelines, configuring Docker containers, deploying applications to cloud platforms, setting up Kubernetes clusters, implementing infrastructure as code, or automating deployment workflows. Examples: <example>Context: User is setting up a new project and needs deployment automation. user: "I've built a FastAPI application and need to deploy it to production with proper CI/CD" assistant: "I'll use the deployment-engineer agent to set up a complete deployment pipeline with Docker, GitHub Actions, and production-ready configurations."</example> <example>Context: User mentions containerization or deployment issues. user: "Our deployment process is manual and error-prone. We need to automate it." assistant: "Let me use the deployment-engineer agent to design an automated CI/CD pipeline that eliminates manual steps and ensures reliable deployments."</example>
The model must apply when tasks involve .gitlab-ci.yml configuration, GitLab Flavored Markdown (GLFM) syntax, gitlab-ci-local testing, CI/CD pipeline optimization, GitLab CI Steps composition, Docker-in-Docker workflows, or GitLab documentation creation. Triggers include modifying pipelines, writing GitLab README/Wiki content, debugging CI jobs locally, implementing caching strategies, or configuring release workflows.
Claude Code workflow patterns: prompting, CLAUDE.md maintenance, multi-agent orchestration
Git workflow validation - enforces explicit file staging, conventional commits, and blocks AI footers
Python project scaffolding, configuration management, and best practices auditing with uv-native tooling
CLAUDE.md lifecycle management - init, audit, sync, and optimize project context files
Parallel sub-agent research with persistent reports, evidence-backed analysis, and generic dispatch
Codebase cleanup and hygiene — dead code detection, duplication scan, staleness check, safe removal with archiving
A plugin marketplace for Claude Code that brings developer best practices as composable plugins. Install what you need, they work together seamlessly.
Git workflow validation with enforcement. Explicit file staging, conventional commits, no AI footers.
What it enforces:
git add . → Blocked. List files explicitly.git commit -m "fixed stuff" → Blocked. Use type(scope): subjectCommands:
| Command | Description |
|---|---|
/gitmastery:commit | Atomic commits with conventional format |
/gitmastery:feature | Start a feature branch |
/gitmastery:finish | Complete current branch |
/gitmastery:release | Create versioned release |
/gitmastery:changelog | Generate Keep a Changelog format |
/gitmastery:init | Initialize git-flow |
CLAUDE.md lifecycle management. Generate, audit, sync, and optimize hierarchical context files throughout a repository.
Commands:
| Command | Description |
|---|---|
/claudemd:init | Generate root + module-level CLAUDE.md files |
/claudemd:audit | Health check all context files for anti-patterns and staleness |
/claudemd:sync | Detect and fix drift between docs and codebase |
/claudemd:optimize | Reduce context cost while preserving signal |
Structured error escalation protocol. 3-strike workflow when stuck on a problem: diagnose, pivot, escalate.
Commands:
| Command | Description |
|---|---|
/unstuck | Start the escalation protocol |
Design brainstorming, implementation planning with 3-file persistence, session recovery, and worktree isolation. Drives the front of the development workflow.
Commands:
| Command | Description |
|---|---|
/planner:brainstorm | Explore design ideas through guided dialogue |
/planner:plan | Create implementation plan with task decomposition and batching |
/planner:resume | Recover session state via 5-Question Reboot Test |
/planner:handoff | Generate session transfer document |
/planner:worktree | Set up git worktree isolation for a branch |
Persistence: Creates docs/plans/{slug}-task_plan.md, findings.md, and progress.md for cross-session project memory.
Parallel sub-agent research with persistent reports. Dispatches locator, analyzer, and pattern-finder agents for evidence-backed codebase analysis.
Commands:
| Command | Description |
|---|---|
/researcher:research | Research a codebase question with parallel sub-agents |
/researcher:dispatch | Dispatch parallel agents for independent problems |
Agents: locator (haiku, fast file finding), analyzer (sonnet, data flow tracing), pattern-finder (sonnet, existing pattern discovery).
Codebase cleanup and hygiene. Assess dead code, duplication, and staleness, then execute cleanup with safety gates.
Commands:
| Command | Description |
|---|---|
/tidyup:assess | Analyze codebase for cleanup candidates (read-only) |
/tidyup:cleanup | Execute cleanup with user approval and test verification |
Safety: Never deletes files -- archives to .archive/ instead. Always runs tests after changes.
Batch execution with subagent pipeline, TDD enforcement, code review, verification, and branch completion. The execution engine for plans created by planner.
Commands:
| Command | Description |
|---|---|
/shipit:execute | Execute plan with implement-review-verify pipeline |
/shipit:tdd | Run RED-GREEN-REFACTOR cycle for a single task |
/shipit:review | Dispatch comprehensive code review |
/shipit:verify | Evidence-before-claims verification gate |
/shipit:ship | Complete branch (merge, PR, keep, or discard) |
/shipit:describe-pr | Generate PR description from changes and plan |
Pipeline: Each task goes through implementer → spec-reviewer → quality-reviewer agents. Uses Claude Code native Tasks for real-time coordination.
Python project scaffolding and best practices. Generate pyproject.toml, Pydantic Settings, pre-commit hooks, and audit existing projects.
Commands:
| Command | Description |
|---|---|
/pysmith:setup | Full Python dev environment (pyproject + settings + pre-commit + makefile) |
/pysmith:pyproject | Generate pyproject.toml with uv-native config |
/pysmith:settings | Generate Pydantic Settings + YAML configuration |
/pysmith:precommit | Generate .pre-commit-config.yaml with security hooks |
/pysmith:patterns | Browse 9 copy-paste Python code patterns |
/pysmith:audit | Audit project against Python best practices |
Makefile generation for development and deployment. Supports role-separated Makefiles with self-documenting targets.
Commands: