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/claude-orator

Prompt rhetoric coach — deterministic scoring and restructuring using Anthropic best practices

From plugin
claude-emporium
806 skills8 commands

Claude Code

$ npx -y skills add Vvkmnn/claude-emporium --skill claude-orator --agent claude-code

SKILL.md

claude-orator.SKILL.md
name: claude-orator
description: Prompt rhetoric coach — deterministic scoring and restructuring using Anthropic best practices
triggers: [PreToolUse]

Orator Plugin

Prompt optimization. Scores prompts across 7 dimensions and restructures them using 8 Anthropic techniques. Deterministic — no LLM calls, no network, in-memory only.

Hooks

| 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.

Commands

| Command | Description | |---------|-------------| | `/reprompt-orator <prompt>` | Optimize a prompt using Anthropic best practices |

Workflows

Optimize (standalone)

1. `/reprompt-orator "your prompt here"` or call `orator_optimize(prompt: "...")` 2. Review score breakdown (7 dimensions, 1-10 each) 3. Use the restructured prompt with applied techniques

Optimize (with siblings)

1. If **historian** active: `search_conversations("prompt optimization")` to find past well-scored prompts 2. `orator_optimize(prompt: "...")` — score and restructure 3. If **praetorian** active: `save_context(type: "decisions", ...)` to preserve the optimized prompt rationale 4. If **gladiator** active: `observe(summary: "xml-tags improved code prompts by +3.2")` to track what works

Batch review

1. Review subagent prompts across a session 2. `orator_optimize` on each under-specified prompt 3. If **vigil** active: `vigil_save("before-rewrite")` before applying changes 4. Apply restructured prompts

Sibling Synergy

| 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 |

MCP Tools Reference

| Tool | Purpose | |------|---------| | `orator_optimize` | Score prompt across 7 dimensions, apply techniques, return restructured version |

Scoring Dimensions

Clarity · Specificity · Structure · Context · Examples · Constraints · Tone (each 1-10)

Techniques

System prompts · XML tags · Chain of thought · Few-shot · Prefill · Long context · Extended thinking · Tool use

Storage

In-memory only. Zero disk storage. No databases, no external services.

Requires

claude mcp add orator -- npx claude-orator-mcp
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@vvkmnn
Ships withclaude-emporium

🏛 [UNDER CONSTRUCTION] A (roman) claude plugin marketplace

Stars on GitHub

Momentum

stars in total
80
Star history of Vvkmnn/claude-emporium on GitHub, a chart by star-history.com

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Questions about claude-orator.

Which coding agents can use claude-orator?
claude-orator installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.