brand-discovery
brand-discovery is a Brand voice & messaging skill for AI agents, published by affaan-m in the ECC repository on GitHub. Skillspace rates brand-discovery D (59/100) and it passed the safety scan; a judge model has also reviewed it.
Use when a brand needs to discover or articulate its identity through structured multi-session interviews. Covers purpose, positioning, audience, personality, voice, narrative, and founder-brand tension across 8 modules using laddering, 5 Whys, and projective techniques. Produces a resumable session with disk-persisted state and a master brandbook (90_SYNTHESIS.md).
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 255,679
Placed #2 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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #2 of 6 in the judged category final for Brand voice & messaging.
- Trigger
15 15 - Instructions
90 90 - Specificity
88 88 - Safety
75 75 - Disclosure
78 78 - Maintenance
30 30
An exceptionally well-designed, framework-grounded interview methodology with session resumability, but the description field is malformed YAML that likely leaves it with no working trigger text at all.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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