voice-dossier-builder

voice-dossier-builder is a Brand voice & messaging skill for AI agents, published by aaron-he-zhu in the aaron-marketing-skills repository on GitHub. Skillspace rates voice-dossier-builder 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", "build a founder voice dossier", or "set our content pillars"; runs an 80%-extraction interview over the user's OWN posts, emails, and decks (never competitor scraping, never an invented persona) and produces the versioned voice record — a per-platform register map (incl. 小红书/微信公众号), banned phrases, per-context disclosure lines (the ECHO C2 upstream), a few-shot bank built exclusively from own posts, and 3-5 content pillars with Estimated %-allocations — submitted via memory/events/channels.ndjson for channel-registry to store as voice-dossier.md, the record every Craft-phase skill reads first. Not for audience/persona research — use audience-mapper. 声音档案/品牌语气/创始人语气/内容支柱/披露声明

Grade
B
Quality
84 / 100
Safety
Passed
GitHub stars
2,393

Placed #1 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 and founder voice codification method for any company

Judge review

Placed #1 of 6 in the judged category final for Brand voice & messaging.

  • Trigger6868
  • Instructions4848
  • Specificity6262
  • Safety8585
  • Disclosure4545
  • Maintenance6868
Grounds voice extraction in a concrete per-platform post quota and real closed-platform compliance limits, with explicit untrusted-input handling, though still buried in dense cross-referencing boilerplate.

Not checked yet

  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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