Brand Toolkit packs brand workflows for Claude Code

This is a solid example of making AI feel like process, not chat. Give the model structure, state, and guardrails, and it stops drifting into generic brand mush.

• –`brand-brief.md` works like a shared memory layer, so each skill inherits the decisions made earlier.
• –The validated / researched / assumed confidence labels are genuinely useful because branding is often part fact, part hypothesis.
• –Anti-slop checks like the swap test and banned-word filter are the right move because they force specificity instead of safe, competitor-ready fluff.
• –Competitor scans and brand audits push this beyond copy generation into a lightweight strategy system inside Claude Code.
• –The tradeoff is that the framework stack is opinionated, so teams wanting looser creative exploration may find it prescriptive.