One-click install
npx skills add https://github.com/hughescr/isambard --skill izzizer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: izzizer
Source: https://github.com/hughescr/isambard/tree/main/agents-skills-plugins/skills/izzizer
Command: npx skills add https://github.com/hughescr/isambard --skill izzizer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Isambard's izzizer helps ensure voice authenticity in substantial prose by detecting substrate-default patterns and guiding writers toward a more authentic Isambard voice. It is not intended for casual Discord messages.

Core Features & Use Cases

  • Pattern detection and density metrics across drafts using the pattern-catalog and voice-model references to quantify deviations from Isambard's voice.
  • Pre-writing guidance with the Izzizer Guide and calibration anchors to set expectations before drafting.
  • Interactive evaluation via the Izzizer Test, flagging lines that fail the "does every sentence do work" criterion and offering revision prompts.
  • Cross-document awareness to compare sections and track consistency across multiple passages.

Quick Start

Run izzize check on your draft to identify voice-pattern flags and actionable improvements.

Frequently Asked Questions about izzizer

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

FAQPage Schema
How do I check long-form writing for voice consistency and style deviations?▼

To check long-form writing for voice consistency, run an analysis on your draft to flag substrate-default patterns and quantify deviations using a deterministic scoring guide for density. This identifies lines that fail the sentence work criterion and provides revision prompts.

What is voice-pattern detection in editorial drafts and how does it work?▼

Voice-pattern detection in editorial drafts analyzes prose against a pattern catalog and voice model to identify deviations from an authentic voice. It calculates density metrics across the text and flags specific lines requiring revision without auto-correcting them.

Can I use writing analysis tools for casual messages or short-form content?▼

Writing analysis for voice authenticity is designed for substantial prose like blog posts and essays, not casual messages. It requires long-form drafts to effectively evaluate sentence-level work metrics and cross-document consistency.

How do I get pre-writing guidance to maintain style consistency across an essay?▼

To get pre-writing guidance for style consistency, use calibration anchors and an editorial guide to set expectations before drafting. This establishes a baseline voice model to measure your draft against during subsequent pattern detection.

Does voice analysis automatically correct flagged sentences in my draft?▼

Voice analysis does not auto-correct flagged sentences but instead provides revision prompts and editorial guidance. It identifies substrate-default patterns and offers actionable suggestions, leaving the actual writing improvements to the author.

Why does my draft score poorly on writing density metrics compared to previous sections?▼

Drafts score poorly on writing density metrics when they contain substrate-default patterns that deviate from the target voice model. Use cross-document awareness to compare sections, track consistency, and identify specific lines failing the sentence work criterion.