vvkmnn/claude-orator-mcp · Archived

claude-orator

Use when dispatching subagents with non-trivial prompts, writing system prompts or skill descriptions, or when any prompt feels vague — scores 7 quality dimensions, auto-selects from 11 techniques, and rewrites with before/after scores.

First seen Jun 3, 2026

Installation

$ npx skills add vvkmnn/claude-orator-mcp --skill claude-orator

Stronger alternatives

This repository is archived — consider an actively maintained alternative.

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 2
License LICENSE
Default branch main
Open issues 0
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,569 B
  • docs SUMMARY.md 259 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 5 installs

SKILL.md

Claude Orator

Make prompts measurably better before sending them.

When to Use

Dispatching subagents → Run the prompt through orator_optimize first. Better prompt = less back-and-forth, more accurate results.

Writing system prompts → SKILL.md files, agent instructions, tool descriptions. Small improvements compound over many invocations.

Prompt feels vague or under-specified → Score it. Orator identifies weak dimensions and applies targeted techniques.

Quick Reference

orator_optimize(prompt: "...", intent?: "code|analysis|creative|extraction|system", techniques?: ["xml-tags", "few-shot"])

Output: Before score → techniques applied → optimized prompt → after score.

Already good? One-line confirmation: 🪶 ━━ already well-structured (8.4)

When to Skip

Skip for trivial prompts, simple questions, or prompts already scoring above 7.0. The overhead isn't worth it for single-step instructions.

Common Mistakes

Mistake Fix
Optimizing everything Focus on high-leverage: subagent prompts, system prompts
Ignoring the score delta Close before/after scores mean the prompt was already good
Not using techniques override When you know which techniques apply, force them