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By jugrajsingh
Python project scaffolding, configuration management, and best practices auditing with uv-native tooling
npx claudepluginhub jugrajsingh/skillgarden --plugin pysmithAudit Python project against best practices checklist
Browse copy-paste ready Python code patterns (Repository, Service, DI, etc.)
Generate .pre-commit-config.yaml with security and quality hooks
Generate pyproject.toml with uv-native dependency management and tool configs
Generate Pydantic Settings configuration with YAML support
Use when checking a Python project for configuration gaps, missing tool configs, hardcoded secrets, or pre-commit hook issues
Copy-paste ready code patterns for Python backend development. Includes Repository, Service, Middleware, Caching, Retry, Rate Limiter, Error Handling, Background Task, and Dependency Injection patterns. Use when implementing common architectural patterns or looking for production-ready code snippets.
Use when a Python project needs pre-commit hooks for security scanning, linting, and formatting, or when migrating from black/isort/flake8 to ruff
Generate pyproject.toml with uv-native dependency management and tool configurations (ruff, pytest, mypy, coverage). Use when starting a new Python project, migrating from requirements.txt to uv, or setting up modern Python tooling.
Generate Pydantic Settings configuration with YAML support. Creates config/settings.py and example.env.yaml for type-safe configuration management. Use when setting up application configuration, adding environment-specific settings, or migrating from os.getenv() to Pydantic Settings.
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Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Spec-driven development for Claude Code — requirements, plans, and tasks that ship as working code.
Context-Driven Development plugin that transforms Claude Code into a project management tool with structured workflow: Context → Spec & Plan → Implement
PROJECT.md-first autonomous development with hybrid auto-fix documentation. 8-agent pipeline, auto-orchestration, docs auto-update on commit (true vibe coding). Knowledge base system with 90% faster repeat research. Strict mode enforces SDLC best practices automatically. Works for ANY Python/JavaScript/TypeScript/Go project.
Verification-first engineering toolkit for Claude Code. 15 skills across a 5-phase spine (Investigate → Design → Implement → Verify → Ship), 8 specialist agents, an interactive setup wizard. Every skill has rationalizations + evidence requirements. Built for senior ICs and tech leads.
Autonomous session orchestrator for Claude Code - manages multi-phase development workflows
Research-backed best practices for building modern, production-grade Python packages — project structure, pyproject.toml, typing, testing, CI/CD, documentation, versioning, API design, packaging, security, and developer experience
Codebase cleanup and hygiene — dead code detection, duplication scan, staleness check, safe removal with archiving
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
Git workflow validation - enforces explicit file staging, conventional commits, and blocks AI footers
Makefile generation for local development, deployment, and root orchestration with audit capabilities
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: