messaging-audit

Solid

Use when comparing product or campaign messaging across content against a cited canonical baseline and its supporting evidence.

AI & Automation 476 stars 127 forks Updated yesterday NOASSERTION

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Quality Score: 83/100

Stars 20%
89
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

<!-- Generated from `.claude/skills/_available/marketing/messaging-audit/SKILL.md` by `scripts/generate-agents-skills.py`. Do not edit. --> # Messaging audit ## When to use Use this skill when multiple artifacts need comparison for positioning, value proposition, audience, terminology, or product claims and a canonical baseline can be cited. It also handles an audit that discovers no usable baseline, provided that limitation is explicit. Do not use it to invent positioning, approve legal or factual claims, or silently rewrite brand copy. Not for publishing edits, changing the canonical baseline, or deciding that a variation is intentional without evidence and human authority. ## Inputs and source discipline - Identify the canonical baseline by source path or ID, version, source date, and as-of date/time. If no authority or version is available, record “no canonical baseline” as an unknown rather than choosing the most polished artifact. - Build a source/date matrix for every compared artifact: title or ID, version, source, publication or update date, retrieval/as-of date, audience/channel, and scope. - Extract claims, value propositions, audience descriptions, problem statements, benefits, and terms verbatim. Attach a source and date to each extracted item. - Normalize terms only through an explicit, cited mapping. Preserve the original wording and do not treat similar words as equivalent when the source does not support that. ## Method 1. Confirm the audit ...

Details

Author
davekilleen
Repository
davekilleen/Dex
Created
7 months ago
Last Updated
yesterday
Language
Python
License
NOASSERTION

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