hermes-report-quality
CommunityEnhance Hermes AI report quality with Gwern-inspired techniques.
Software Engineering#content enhancement#report quality#style guidelines#AI report generation#knowledge pathways
Authorkzinmr
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill addresses the challenge of improving the quality and consistency of Hermes AI reports by implementing advanced techniques inspired by Gwern Branwen's methodologies.
Core Features & Use Cases
- Anti-Examples Slop Stripping: Identifies and replaces generic AI prose with clearer, more precise language.
- Manual of Style (MoS): Provides explicit style rules to maintain a consistent and professional tone across all reports.
- Atomic Snippets: Offers multi-level abstraction for content delivery, catering to different reader depths.
- Generate-Rank-Select: Enhances the quality of critical reports through iterative refinement.
- Engram Knowledge Pathways: Ensures the inclusion of relevant wiki context in reports.
Quick Start
Run the skill to apply the enhanced quality techniques to the current Hermes AI report.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: hermes-report-quality Download link: https://github.com/kzinmr/ai-topics/archive/main.zip#hermes-report-quality Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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