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Prompt rhetoric coach — deterministic scoring and restructuring using Anthropic best practices
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
| name | claude-orator |
| description | Prompt rhetoric coach — deterministic scoring and restructuring using Anthropic best practices |
| triggers | ["PreToolUse"] |
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). ~25 on vague prompts.
| Command | Description |
|---|---|
/reprompt-orator <prompt> | Optimize a prompt using Anthropic best practices |
/reprompt-orator "your prompt here" or call orator_optimize(prompt: "...")| 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
Automatic tool discovery across 19 sources — INVOKE before planning, before adding dependencies, or when looking for tools to discover relevant skills, plugins, and MCP servers
Use after writing or editing a plan file, after exiting plan mode, or when asked "why did you choose this?" — surfaces decisions, risks, and blind spots before implementation.
Continuous learning — INVOKE after sessions with many errors or corrections to record patterns and improve rules, hooks, and skills
Session history search — INVOKE before planning, before web research, after errors, or when looking for past conversation content. Use INSTEAD of manually grepping .jsonl session files.
Cross-session memory - save insights after research, restore context at session start. Reduces re-exploration and prevents token waste.
File checkpoint and recovery — auto-quicksaves before destructive commands, INVOKE before implementing a plan or starting risky multi-file changes. Also use when user asks to undo changes or compare current state to a prior checkpoint.