Claude Code Prompt Improver v0.5.3: Plan Mode Refactor and Subagent-First Research

v0.5.3 of the Claude Code Prompt Improver is out, past 1.4K stars on GitHub. The plugin hooks into UserPromptSubmit to check if a prompt is vague before Claude Code runs it — clear prompts pass through, vague ones trigger a prompt-improver skill that researches the codebase and asks 1–6 questions via AskUserQuestion. The hook adds ~189 tokens per prompt.
Plan Mode Readability (v0.5.3)
A new PreToolUse hook runs on EnterPlanMode. Plans were accumulating revision history — lines like "previously I considered X but rejected it because Y". The hook tells the model to:
- Keep only the problem statement, remove decision history
- On revisions, rewrite the full plan cleanly — do not append or annotate
- One action per step, using file paths as anchors (e.g.,
src/auth.ts:42) - Use short action steps, not long explanations
Subagent-First Research (v0.5.2)
Previously, vague prompts triggered Glob, Grep, WebSearch, and other search tools directly in the main context, burning main-model tokens. Now those tools run through Task/Explore subagents on Haiku, using a separate context window. The main context only handles git commands, single-file reads of user-named files, synthesis, and the final question to the user.
Maintenance (v0.5.0 & v0.5.1)
- Marketplace renamed from
claude-code-marketplacetoseverity1-marketplace - Hook command uses
python3 || pythonfor Windows compatibility CLAUDE.mduses auto-memory format
Install
claude plugin marketplace add severity1/severity1-marketplace
claude plugin install prompt-improver@severity1-marketplace
Repository
github.com/severity1/claude-code-prompt-improver
📖 Read the full source: r/ClaudeAI
👀 See Also

MCP + Skills Framework: Guiding AI Agents for Efficient Data Science Workflows
A practical approach using MCP server + skills framework to constrain Claude/GPT agents toward platform-aware, efficient data science workflows — avoiding client-heavy code and unnecessary data movement.

Pepper MCP Server for iOS Simulator Interaction and Debugging
Pepper is an MCP server that injects a dylib into iOS simulator apps via DYLD_INSERT_LIBRARIES, enabling real-time interaction, screen reading, button tapping, variable inspection, and network traffic monitoring through a WebSocket bridge.

Pilot Protocol: Networking Layer for OpenClaw Agents
Pilot Protocol is an open-source networking layer that handles connectivity between OpenClaw agents across different machines. It provides permanent virtual addresses, encrypted UDP tunnels, and NAT traversal without VPNs or ngrok.

ClawTalk iOS App Enables Voice Chat with Self-Hosted OpenClaw AI Agents
ClawTalk is a native iOS app that provides push-to-talk voice chat for OpenClaw self-hosted LLM setups. It features on-device speech-to-text using WhisperKit, real-time streaming responses with markdown rendering, and supports multiple TTS options including ElevenLabs, OpenAI, and Apple's built-in voices.