brand-language-codifier
brand-language-codifier is a Brand voice & messaging skill for AI agents, published by aaron-he-zhu in the aaron-marketing-skills repository on GitHub. Skillspace rates brand-language-codifier B (84/100) and it passed the safety scan; a judge model has also reviewed it.
Use when the user asks to "codify our brand voice", "define naming rules for our products and tiers", or "write the tone-of-voice guide with banned phrases"; produces the brand-level voice canon (register, tone spectrum, banned-phrase list, few-shot examples drawn only from the brand's own published material) and the naming tax (product / feature / tier naming rules plus approved and banned terms) that seeds the narrative-registry canon and that every channel's voice adaptation points up to. Not for per-platform voice adaptation — use channel-registry's voice-dossier; not for finished copy or blog posts — use content-writer; not for the message hierarchy itself — use message-system-architect; not for claim adjudication — use offer-claims-registry. 品牌语气/词汇表/命名税/禁用词/品牌语言规范
- Grade
- B
- Quality
- 84 / 100
- Safety
- Passed
- GitHub stars
- 2,393
Placed #3 of 6 in the judged category final for Brand voice & messaging.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 1 collections
- Scope
- Portable: works in any project. General brand voice canon and naming rules for any brand
Judge review
Placed #3 of 6 in the judged category final for Brand voice & messaging.
- Trigger
68 68 - Instructions
42 42 - Specificity
55 55 - Safety
78 78 - Disclosure
42 42 - Maintenance
62 62
Defines a reasonably concrete output shape, including a nice tone-spectrum example, but never explains the method for deriving it from source material.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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