messaging-audit

Solid

Review positioning and messaging across content

AI & Automation 448 stars 121 forks Updated today NOASSERTION

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Quality Score: 81/100

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License 10%
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Description 5%
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Skill Content

## Purpose Ensure messaging consistency across all content and identify where positioning needs tightening. ## Usage - `/messaging-audit` - Full messaging review - `/messaging-audit [topic]` - Focus on specific product/feature messaging --- ## Steps 1. **Scan 05-Areas/Content/** for published content 2. **Extract messaging elements:** - Value propositions mentioned - Key benefits highlighted - Target audience descriptions - Problem statements - Competitive positioning 3. **Check consistency:** - Same value props across content? - Consistent problem framing? - Aligned audience descriptions? - Unified competitive positioning? 4. **Identify issues:** - Conflicting messages - Outdated positioning - Missing key messages - Inconsistent terminology 5. **Generate audit report with:** - Consistency analysis - Conflicts found - Missing messages - Recommendations for alignment --- ## Output Format ```markdown # ๐ŸŽฏ Messaging Audit **Date:** [Today] **Content reviewed:** [Count] ## Current Messaging Patterns ### Value Propositions - "[Value prop 1]" - Used in [X] pieces - "[Value prop 2]" - Used in [X] pieces ### Problem Statements - "[Problem 1]" - [X] mentions - "[Problem 2]" - [X] mentions ## Consistency Issues ### Conflicts Found 1. [Content A] says "[X]" but [Content B] says "[Y]" 2. [Inconsistency description] ### Missing Key Messages - [Message] not mentioned in [content type] ## Recommendations 1. [Recommendati...

Details

Author
davekilleen
Repository
davekilleen/Dex
Created
6 months ago
Last Updated
today
Language
Python
License
NOASSERTION

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