Teknium d4c14011eb feat(claude-design): add surface-first conditioning + slop diagnostic (#55399) ... Port the two genuinely-novel ideas from Command Code's /design skill into our existing claude-design skill (skill-only, zero model-tool footprint): - Surface-First: commit to one of 7 surface archetypes (Monitor/Operate/ Compare/Configure/Decide/Explore/Command) before any visual tokens. Most AI design slop is compositional, not cosmetic — conditioning generation on a surface choice collapses entropy the way a CoT step does. Workflow step 3. - Slop Diagnostic: the ~10 tells that account for ~90% of the 'this is AI' signal, as a score-out-of-10 self-audit. Diagnose-then-treat: the report is context not a to-do list; repair only what fired, matched to the tell (re-layout vs recolor vs de-decorate). Workflow step 7 (Verify). Did NOT clone /design's 16-mode CLI, proprietary reference corpus, or make it a core tool. Docs page regenerated via generate-skill-docs.py.		2026-06-29 21:12:29 -07:00
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bundled	feat(claude-design): add surface-first conditioning + slop diagnostic (#55399)	2026-06-29 21:12:29 -07:00
optional	refactor(kanban): fold worker/orchestrator skills into injected guidance (#50473)	2026-06-21 17:06:48 -07:00
google-workspace.md	docs(google-workspace): fix dead gws CLI link to googleworkspace/cli	2026-05-29 12:06:22 -07:00