By doodledood
Optimize LLM prompts iteratively: review against 10-layer frameworks for clarity and issues, compress for token efficiency while preserving semantics, craft or refine from first principles via targeted discovery, and verify improvements with read-only agents on prompt files.
npx claudepluginhub doodledood/claude-code-plugins --plugin prompt-engineeringVerifies prompt compression quality. Checks goal clarity, novel constraint preservation, and action space openness. Flags over-specification and training-redundant content. Returns VERIFIED or ISSUES_FOUND.
Reviews LLM prompts against first-principles. Evaluates using the prompt-engineering skill's principles and reports issues without modifying files.
Verifies prompt token efficiency. In single-file mode, identifies inefficiencies (redundancy, verbosity). In two-file mode, verifies compression is lossless by comparing original vs compressed.
Iteratively auto-optimize a prompt until no issues remain. Uses prompt-reviewer in a loop, asks user for ambiguities, applies fixes via prompt-engineering skill. Runs until converged.
Compresses prompts/skills into minimal goal-focused instructions. Trusts the model, drops what it already knows, maximizes action space. Use when asked to compress, condense, or minimize a prompt.
Iteratively optimizes prompts for token efficiency by maximizing information density - reduces verbosity, removes redundancy, tightens phrasing while preserving semantic content. Use when asked to compress, shorten, reduce tokens, tighten, maximize density, increase information density, or make a prompt more concise.
Craft or update LLM prompts from first principles. Use when creating new prompts, updating existing ones, or reviewing prompt structure. Ensures prompts define WHAT and WHY, not HOW.
Review and analyze LLM prompts against prompt-engineering principles. Provides detailed assessment without modifying files.
Uses power tools
Uses Bash, Write, or Edit tools
Share bugs, ideas, or general feedback.
DevsForge Enterprise Prompt Optimization Architect delivering strategic prompt engineering methodologies, AI interaction optimization, and communication excellence frameworks
A comprehensive collection of custom skills for Claude Code covering engineering, product management, design, content, trading, database, QA, and educational domains
+ask +deep +web <- modifiers | optimize your prompts
Agents for UI/UX design, accessibility, and user experience optimization
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.