Intelligent prompt improver hook for Claude Code. Type vibes, ship precision.

Prompt Line is a macOS app developed to improve the prompt input experience in the terminal for CLI-based AI coding agents such as Claude Code, Gemini CLI, OpenAI Codex CLI, and Aider.

Intelligent prompt enhancement system for Claude Code that automatically adds context, examples, and structured guidance to improve response quality

Claude Code plugin that automatically enhances and improves prompts before they reach Claude

Bridge for Apple's Terminal and Messages app; prompt scheduler. Improves interactions with Claude Code/Gemini CLI for chat purposes.

🔍 Enhance vague prompts with targeted questions for clearer, more effective outcomes using Claude Code's UserPromptSubmit hook.

Curated collection of Claude Code skills — drop-in prompt modules that give Claude new capabilities. Contribute, improve, share.

A small toolkit for Claude Code users to improve their environment via prompt log analysis

Workshop of human-AI pairs to build a Kanban board application using Claude Code as your AI partner. The focus is on practicing effective AI-assisted development, improving prompt hygiene, and fostering human oversight while collaborating with AI.

General-purpose self-improving optimization using the Karpathy autoresearch pattern. Works for any task — sales copy, outreach, prompts, content, code. Claude Code skill + standalone script.

Claude Code skill for creating, auditing, and improving AI prompts. 12-point checklist based on production patterns from Claude Code source.

Teams and Solo Devs Claude Code hooks setup for observability and guardrails. Understand how skill, subagents, prompts are working and where is claude struggling to improve systematically

A Claude Code plugin that lints LLM prompts against 7 quality dimensions, flags technique gaps for the stated use case, and generates an improved version.

Self-refining AI agents for software development — critique every session, accumulate evidence, and automatically improve their own system prompts. Works with Claude Code & GitHub Copilot.

A general claude code loop template for having claude code write SDK agent where it recursively reviews its prompt and general scaffolding and modify itself and improve itself against real-valued function and/or past traces

Prompt engineering toolkit: Claude chat wrapper with smart optimization, standalone prompt improver, and key takeaways from studying Claude Code's architecture

Autoresearch-style prompt optimization for Claude Code — iteratively improves system prompts using an adversarial Claude-as-judge

A series of scripts, skills, and instructions used for improving Claude Code's prompts.

Claude Code skills and agents: prompt-engineer, swarm-architect, code-researcher, and the improve Opus agent

Automated prompt quality evaluation for Claude Code — test, score, and improve your prompts with persona-based testing. Zero setup.

Autonomous prompt evolution for claude-code-factory. Analyzes shipped vs failed builds, identifies prompt weaknesses, generates improved prompts, A/B tests them.

Explore tips, prompt templates, and code snippets to improve your use of Claude AI with this community-curated resource.

Auto Skill Improver helps you make Claude Code/Cowork and OpenClaw skills actually work — using benchmarks, saturation checks, and controlled mutation instead of prompt vibes.

Audit prompt caching setups against Anthropic’s rules to improve cache hit rates, reduce costs, and maintain Claude Code efficiency.

PromptOps — Evaluate, improve, test, and run your prompts in Claude Code. Score prompts 1–5, auto-improve with guardrails, regression test against golden datasets, benchmark costs across models, and execute — all in one session.

The most comprehensive Claude Code setup — 29 skills, 9 plugins, 13 hooks, 8 agents, 8 commands. Self-documenting, self-improving, CLI-first. Includes self-interview prompt for personalization.

Laravel project used to experiment with Claude Code workflows and AI-assisted development. Focus on improving productivity with agents, prompts, and best practices in a real Laravel codebase.

Attempts at reverse engineering LVBL with unique prompting methodologies to see how they have improved Claude's design output, creates integrations and optimizes the wrapper for better code generation.