liortesta

liortesta/ClawdAgent

Command Claude Code

Before writing ANY code, create a detailed plan with multi-agent input.

liortesta/ClawdAgent

Command Claude Code

Before considering this task done, provide concrete proof that everything works.

liortesta/ClawdAgent

Command Claude Code

Guide the user through setting up this Claude Code template in their project. Ask questions, configure, and verify — step by step.

liortesta/ClawdAgent

Command Claude Code

Spawn a NEW subagent with clean context to review the code changes. The reviewer MUST NOT see the original implementation discussion — only the final code.

liortesta/ClawdAgent

Command Claude Code

Run a 3-agent review on the current changes.

liortesta/ClawdAgent

Command Claude Code

Save the current session context to persistent memory, then tell the user to start a fresh conversation to save costs. The new session will have full access to everything saved here.

liortesta/ClawdAgent

Command Claude Code

Run the scout agent to find new tools, MCP servers, agent patterns, and Claude Code features.

liortesta/ClawdAgent

Command Claude Code

Run a complete diagnostic and automatic fix cycle.

liortesta/ClawdAgent

Command Claude Code

Analyze the project and set up the complete development environment.

liortesta/ClawdAgent

Command Claude Code

Before merging or deploying, run ALL of the following checks. Every gate must pass.

liortesta/ClawdAgent

Command Claude Code

Launch a coordinated multi-agent team with a shared task board and Leader→Workers pattern.

liortesta/ClawdAgent

Command Claude Code

Find high-leverage technical debt improvements in the codebase.

liortesta/ClawdAgent

Command Claude Code

Run a comprehensive verification of the entire MEGA setup. This is the FIRST thing to run after dropping this template into a new project.

liortesta/ClawdAgent

Command Claude Code

Use Playwright MCP to visually verify the UI that was just built or modified.

liortesta/ClawdAgent

Command Claude Code

Consolidate learnings from this session and update project memory.

liortesta/ClawdAgent

Hook Claude Code

Runs before the agent uses a tool for Bash, Edit and Write tool calls, running an inline shell check (2 commands). From liortesta/ClawdAgent.

liortesta/ClawdAgent

Hook Claude Code

Runs after a tool call finishes for Write and Edit tool calls, running an inline shell check. From liortesta/ClawdAgent.

liortesta/ClawdAgent

Hook Claude Code

Runs once when the project is set up, running an inline shell check. From liortesta/ClawdAgent.

liortesta/ClawdAgent

Hook Claude Code

Runs when a subagent finishes, running an inline shell check. From liortesta/ClawdAgent.

liortesta/ClawdAgent

Hook Claude Code

Runs when the agent finishes a response, running an inline shell check. From liortesta/ClawdAgent.

liortesta/ClawdAgent

Settings file Claude Code

Agent settings declaring 5 hook events (PreToolUse, PostToolUse, Setup, SubagentStop) and 76 allowed tools.

liortesta/ClawdAgent

Skill Claude CodeCodex

Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral). Use when need clean model implementations, educational understanding of architectures, or production fine-tuning with LoRA/QLoRA. Single-file implementations, no abstraction layers.

liortesta/ClawdAgent

Skill Claude CodeCodex

State-space model with O(n) complexity vs Transformers' O(n²). 5× faster inference, million-token sequences, no KV cache. Selective SSM with hardware-aware design. Mamba-1 (dstate=16) and Mamba-2 (dstate=128, multi-head). Models 130M-2.8B on HuggingFace.

liortesta/ClawdAgent

Skill Claude CodeCodex

Educational GPT implementation in 300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpathy. Perfect for understanding GPT architecture from scratch. Train on Shakespeare (CPU) or OpenWebText (multi-GPU).