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-marketplaceRepository
github.com/severity1/claude-code-prompt-improver
📖 Read the full source: r/ClaudeAI
👀 See Also
Open-source Claude Code reimplementation patched for local model compatibility
A developer patched the open-source Claude Code reimplementation to work with Ollama and local models by removing hardcoded Anthropic client dependencies. The CLI now auto-detects providers from model names and environment variables.
Event Horizon VS Code Extension Adds File Locking and Plan Coordination for Multiple AI Agents
Event Horizon, a VS Code extension originally created for visualizing Claude Code, now includes file locking and plan coordination features to prevent multiple AI agents from overwriting each other's work on the same codebase. The tool supports Claude Code, OpenCode, and Copilot with one-click setup.
Engram Memory SDK: Graph-Based Memory for AI Agents with Local Models
Engram Memory SDK is an open-source graph memory system for AI agents that works with local models via LiteLLM. It requires only one LLM call for ingestion, then uses vector search and graph traversal for recall with zero ongoing LLM costs.
Codesight CLI reduces AI coding agent token usage by scanning codebases
Codesight is a zero-dependency CLI tool that scans TypeScript, Python, and Go projects to generate compact context files, reducing Claude Code exploration tokens by 12.3× on average according to benchmarks from real production codebases.