promptor-council

Generate production-ready prompts via a 5-circle validation pipeline and 18-hacks filter.

4|Updated May 20, 2026
One-click install
npx skills add https://github.com/valorisa/Claude-Skills --skill promptor-council
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: promptor-council
Source: https://github.com/valorisa/Claude-Skills/tree/main/skills/promptor-council
Command: npx skills add https://github.com/valorisa/Claude-Skills --skill promptor-council

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Standard prompt generation relies on self-critique, which has inherent structural blind spots that often miss the exact flaws present in the original prompt. This is a minor issue for throwaway prompts, but for high-stakes use cases like production content moderation, compliance checks, or legal escalation workflows, these missed flaws can lead to significant harm, financial loss, or regulatory penalties.

Core Features & Use Cases

  • Validated Prompt Generation Pipeline: Runs 5 sequential validation circles (C1 STOP, C2 RESEARCH, C3 GRID, C4 TRIBUNAL, C5 FIX) with structured JSON traces, plus an 18-hacks filter to optimize prompts for tokens, speed, security, or quality based on your specific needs.
  • Optional 5-Advisor Council Audit: For high-risk prompts, activate a multi-agent council with 5 distinct advisors (Contrarian, First Principles Thinker, Expansionist, Outsider, Executor) that perform blind peer review to detect flaws missed by self-critique, plus a Chairman synthesis with a clear verdict and one concrete immediate action.
  • Compliance & Safety Guardrails: Automatically flags correlated proxy variables (e.g., zip code carrying forbidden origin signal) for compliance/legal domains, and mandates full human escalation workflow details (who processes, timeline, context, decision recording) for prompts requiring manual review.
  • Audit Artifacts: When the council is activated, generates a visual HTML report and full markdown transcript of the entire deliberation process for documentation, auditing, and future reference.
  • Use Case Example: Create a prompt for moderating user-generated content in a production system, then run a council audit to catch edge cases like sarcasm, dogwhistles, and ambiguous "borderline content" definitions that a self-critique would completely miss.

Quick Start

Use the promptor-council skill to create a production-ready content moderation prompt and request a council audit to validate it for edge cases and ambiguous scenarios.

Frequently Asked Questions about promptor-council

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How does a multi-agent council improve AI prompt optimization for high-stakes workflows?

A multi-agent council improves AI prompt optimization by deploying five distinct advisors to perform blind peer review, detecting critical flaws and blind spots that standard self-critique misses. It provides a synthesized verdict with actionable recommendations for production prompts.

How do I audit production prompts for compliance and edge cases?

You audit production prompts for compliance by activating a 5-advisor council review. This process flags correlated proxy variables, mandates human escalation workflow details, and generates visual HTML reports with full markdown transcripts for documentation.

When do I need a validated prompt generation pipeline instead of standard prompt generation?

You need a validated prompt generation pipeline when creating prompts for security, compliance, legal, or production workflows. Standard self-critique has structural blind spots, whereas a 5-circle validation pipeline with an 18-hacks filter reduces errors and improves performance.

Can I optimize prompts for specific constraints like tokens and speed?

Yes, you can optimize prompts for specific constraints. A validated prompt generation pipeline applies an 18-hacks filter to optimize production prompts for tokens, speed, security, or quality based on your specific use case requirements.

What is blind peer review in the context of AI prompt auditing?

Blind peer review in AI prompt auditing is a multi-agent council process where five distinct advisors—Contrarian, First Principles Thinker, Expansionist, Outsider, and Executor—independently evaluate a prompt to catch edge cases like sarcasm and dogwhistles missed by self-critique.

Does prompt auditing work for content moderation workflows?

Prompt auditing works effectively for content moderation workflows by running a council review to catch edge cases like sarcasm, dogwhistles, and ambiguous borderline content. It generates optimized, production-ready prompts with full audit artifacts for reference.