By lpasqualis
Streamlines Claude Code development with git automation, documentation audits, command optimization, and implementation plan tracking. Includes agents for verifying completion claims and auditing code quality against project requirements.
Analyze project's commands, subagents, and workers to identify needed conversions and optimizations
Audits and optimizes CLAUDE.md files against current best practices, extracting inappropriate content to external docs
Add parallel execution capabilities to existing Claude Code commands
Create new Claude Code commands with best practices and automatic validation
Optimize slash command definitions for best practices and performance
Meticulous completion verification specialist that rigorously verifies whether claims about task completion are actually true. Expert at identifying incomplete implementations, missing tests, stubbed code, and premature completion declarations. Use ONLY when explicit verification is requested or definitive completion claims are made about deliverables. Invoke when user explicitly asks to "verify completion", "check if implementation is done", "confirm feature is complete", or makes declarative statements like "X is finished/implemented/ready". Do NOT trigger on planning discussions, status questions, or casual mentions of completion words. Use proactively when actual verification or validation is clearly needed.
Expert LLM delegation specialist that seamlessly connects to external language models including GPT-4, GPT-3.5, Gemini, Ollama, and local models via the llm bash tool. Invoke this agent to delegate tasks, get second opinions, validate solutions, or continue existing model conversations. Use when users mention external LLMs, API models, delegation, validation with other models, checking work, comparing responses across models, or need specific model capabilities. MUST BE USED PROACTIVELY when detecting phrases like "use gpt", "ask gemini", "check with", "delegate to", "second opinion", "validate with", "compare using", "continue conversation", "external model", "api model", or references to specific providers.
An expert documentation specialist that comprehensively audits and updates project documentation for accuracy, relevance, and consistency with the current codebase. Invoke this agent when documentation is outdated, inconsistent, or needs comprehensive review after code changes or refactoring. Use when you need to identify documentation gaps, fix inaccurate information, consolidate redundant docs, or ensure documentation reflects the current state of the project. This agent systematically analyzes code-to-documentation alignment, validates examples and instructions, and produces a detailed audit report with all necessary corrections. Use proactively when appropriate.
Expert implementation plan auditor for reviewing implans for completeness, correctness, and compliance with requirements. Use proactively when users mention implan auditing, plan validation, checking for incomplete implementations, stubs, TODOs, missing test coverage, or when they need to verify implementation completeness. Analyzes both implan structure and associated codebase to detect gaps, placeholder code, untested functionality, and deviations from requirements. Outputs comprehensive audit reports with corrective actions and creates specialized testing phases for critical untested areas.
Uses power tools
Uses Bash, Write, or Edit tools
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No model invocation
Executes directly as bash, bypassing the AI model
No model invocation
Executes directly as bash, bypassing the AI model
This is my personal Claude Code configuration that I maintain in Git. I'm sharing it publicly as an example of how to organize and version-control a Claude Code setup. This system works for me and my needs, but might not work for others. My requirements are:
What this is: My personal collection of agents, slash commands, and tools that I use across all my projects.
What this isn't: A framework or product to install. It's one person's configuration shared as a reference.
Claude Code supports personal configurations via ~/.claude/, but there aren't many examples of how to organize and maintain them. This repository shows:
The easiest way to use this configuration is via Claude Code's plugin system.
Quick Install:
/plugin and select "Add marketplace"https://github.com/lpasqualis/lpclaude/plugin again and select "Install plugin"lpclaude-config from the listOr use commands directly:
# Step 1: Add the marketplace (HTTPS format recommended)
/plugin marketplace add https://github.com/lpasqualis/lpclaude
# Step 2: Install the plugin
/plugin install lpclaude-config
Or skip the marketplace and install directly:
/plugin install https://github.com/lpasqualis/lpclaude
Benefits:
~/.claude/ configsSee PLUGIN_INSTALL.md for detailed plugin documentation.
For full control over files and symlinks:
git clone https://github.com/lpasqualis/lpclaude.git ~/.lpclaude
cd ~/.lpclaude
./setup.sh
See "If You Want to Try My Components" section below for details.
Not ready to install? You can also:
Browse the repository to:
If you find something useful:
~/.claude/ directoryTo create your own configuration repository:
Here's what I've built for my workflow (yours will be different):
npx claudepluginhub lpasqualis/lpclaude --plugin lpclaude-configHarness-native ECC operator layer - 67 agents, 271 skills, 92 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
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.
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
Comprehensive UI/UX design plugin for mobile (iOS, Android, React Native) and web applications with design systems, accessibility, and modern patterns
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Ultra-compressed communication mode. Cuts ~75% of tokens while keeping full technical accuracy by speaking like a caveman.