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From claude-orator
Scores prompts across 7 dimensions and restructures using 8 Anthropic techniques like XML tags and chain-of-thought. Auto-triggers on PreToolUse for unstructured subagent prompts; manual via /reprompt-orator.
npx claudepluginhub vvkmnn/claude-emporium --plugin claude-oratorHow this skill is triggered — by the user, by Claude, or both
Slash command
/claude-orator:claude-oratorThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Prompt optimization. Scores prompts across 7 dimensions and restructures them using 8 Anthropic techniques. Deterministic — no LLM calls, no network, in-memory only.
Crafts or updates LLM prompts from first principles by discovering goals, constraints, and context through targeted questions. Use for new prompts, updates, or reviews.
Optimizes prompts for production AI features with analysis, 6-step framework, failure detection, and research-backed techniques. Use for prompt review, system prompts, or improvement suggestions.
Improves prompts via Anthropic best practices: queries official docs first, applies 4-step workflow with chain-of-thought, XML tags, and examples for accuracy and structure.
Share bugs, ideas, or general feedback.
Prompt optimization. Scores prompts across 7 dimensions and restructures them using 8 Anthropic techniques. Deterministic — no LLM calls, no network, in-memory only.
| Hook | When | Action |
|---|---|---|
| PreToolUse(Task) | Subagent prompt lacks structure | Suggests orator_optimize before dispatching |
Token cost: 0 on well-structured prompts (XML tags, markdown headers, action verbs). ~50-80 on vague prompts. Never blocks — suggestion only.
| Command | Description |
|---|---|
/reprompt-orator <prompt> | Optimize a prompt using Anthropic best practices |
/reprompt-orator "your prompt here" or call orator_optimize(prompt: "...")search_conversations("prompt optimization") to find past well-scored promptsorator_optimize(prompt: "...") — score and restructuresave_context(type: "decisions", ...) to preserve the optimized prompt rationaleobserve(summary: "xml-tags improved code prompts by +3.2") to track what worksorator_optimize on each under-specified promptvigil_save("before-rewrite") before applying changes| Sibling | Value | How |
|---|---|---|
| Historian | Past well-scored prompts as examples | search_conversations("prompt patterns") finds effective prompts from history |
| Praetorian | Preserve optimization rationale | Compact optimized prompts and their scores for future reference |
| Gladiator | Track what techniques work best | observe() records which techniques improve scores most |
| Oracle | Find prompt engineering tools | search("prompt patterns") discovers relevant community tools |
| Vigil | Checkpoint before batch rewrites | vigil_save() before applying optimized prompts across files |
| Tool | Purpose |
|---|---|
orator_optimize | Score prompt across 7 dimensions, apply techniques, return restructured version |
Clarity · Specificity · Structure · Context · Examples · Constraints · Tone (each 1-10)
System prompts · XML tags · Chain of thought · Few-shot · Prefill · Long context · Extended thinking · Tool use
In-memory only. Zero disk storage. No databases, no external services.
claude mcp add orator -- npx claude-orator-mcp