By wgordon17
Development environment policy enforcement: tool selection guard, commit validation, pre-push review, URL fetch guard, trust management, oc/kubectl introspection, subagent completion verification, decision persistence, anti-deferral enforcement, shared behavioral feedback
Executes bash commands
Hook triggers when Bash tool is used
Modifies files
Hook triggers on file write and edit operations
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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.
Personal Claude Code plugins: LSP servers, code quality agents, development utilities, git tools, GitHub MCP integration, and Jira issue tracking.
| Plugin | Description | Execution | Docs |
|---|---|---|---|
| pyright-uvx | Python language server | uvx (always latest) | README |
| vtsls-npx | TypeScript/JavaScript language server | npx (always latest) | README |
| gopls-go | Go language server | system gopls | README |
| vscode-html-css-npx | HTML/CSS language servers | npx (always latest) | README |
| rust-analyzer-rustup | Rust language server | rustup (always latest) | README |
| Plugin | Description | Components | Docs |
|---|---|---|---|
| code-quality | Code quality agents, development utilities, and orchestration skills | 8 agents, 20 skills, 4 commands | README |
Agents:
code-quality:architect - System architecture specialist (design, technology choices, refactoring)code-quality:security - Application security specialist (OWASP, auth, vulnerability detection)code-quality:qa - Code quality & QA specialist (test strategy, maintainability, tech debt)code-quality:performance - Performance engineering specialist (profiling, optimization, bottlenecks)code-quality:test-runner - Efficient test execution specialistcode-quality:code-reviewer - Plan alignment, code quality, convention compliance, doc accuracycode-quality:code-simplifier - Dead code removal, unnecessary abstraction cleanup, clarity improvementcode-quality:plan-adherence - Plan file verification, task completion tracking, escalationSkills:
/deep-research - Multi-hop research (40+ sources) with Bridged mode for internal+external analysis/business-panel - Multi-stakeholder business impact analysis/file-audit - Deep code quality audit system/bug-investigation - PROACTIVE interactive bug hunting with background agents/unfuck - Comprehensive one-shot repo cleanup/swarm - Full agent team implementation via TeamCreate/quality-gate - PROACTIVE multi-pass review with adversarial lenses, fresh-context subagents, and blocking gates/pr-review - Multi-agent PR review with finding verification/plan-review - Multi-agent plan review with finding verification/map-reduce - Parallelized workload processing with chunking, mapper agents, and reducer synthesis/speculative - Competing implementations in isolated worktrees with judge selection/incremental-planning - Incremental planning workflow with per-task review and assumption surfacing/roadmap - Stateful multi-plan phase sequencing with roadmap lifecycle management (update, cleanup, status/drift, fresh creation)/lsp-navigation - PROACTIVE semantic code navigation/uv-python - PROACTIVE Python tooling enforcement (uv over pip)/test-runner - Efficient test execution patterns/fix - Comprehensive finding fixer with spike execution for plan-review Research Gaps/reflect - Mid-task self-reflection checkpoint via Serena metacognitive tools/index-repo - Repository indexing for token-efficient codebase orientation/summarize - Distills project-memory artifacts and PRs into human-readable summariesCommands:
/code-quality:session-start - Load project context or initialize/code-quality:session-end - Sync project memory before ending/code-quality:review-project - Comprehensive TODO validation/code-quality:lsp-status - Check LSP server status| Plugin | Description | Components | Docs |
|---|---|---|---|
| git-tools | Git history, hooks, commit review, and contributing guide generation | 1 skill, 2 commands | README |
Skills:
/git-history - Git history manipulation (git-branchless)Commands:
/git-tools:review-commits - AI-assisted commit review for PRs/git-tools:contributing - Generate/update CONTRIBUTING.md| Plugin | Description | Components | Docs |
|---|---|---|---|
| github-mcp | GitHub MCP server with full toolsets for repository management, code security, and workflow automation | MCP server + SessionStart hint | README |
Requires GITHUB_PERSONAL_ACCESS_TOKEN environment variable. Enables mcp__github__* tools for PRs, issues, actions, code security, and more. Prefer MCP tools over gh CLI for GitHub operations.
Enabled toolsets: default, actions, orgs, labels, notifications, discussions, gists, projects, code_security, secret_protection, dependabot, security_advisories, github_support_docs_search
npx claudepluginhub wgordon17/personal-claude-marketplace --plugin dev-guardRust language server (install with: rustup component add rust-analyzer)
Python language server via uvx (always latest)
GitHub MCP server: full GitHub API access via Model Context Protocol (PRs, issues, actions, code security, and more)
Go language server (install with: go install golang.org/x/tools/gopls@latest)
TypeScript/JavaScript language server via npx (always latest)
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.
Continuous self-referential AI loops for interactive iterative development, implementing the Ralph Wiggum technique. Run Claude in a while-true loop with the same prompt until task completion.
Feature development with code-architect/explorer/reviewer agents, CLAUDE.md audit and session learnings, and Agent Skills creation with eval benchmarking from Anthropic.
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.