/deckcp-input-intelligence
Smart onboarding — understand the inputs BEFORE the pipeline runs. Detect + classify every input (prompt/logo/website/social/brand-guide/PDF/PPTX/company-deck/design-reference/content-source/structure-reference/edit-target/images/data/existing DeckCP brand) via scripts/classify-inputs.sh (zero tokens); acquire what evidence is available (reusing brand-kit's extract-brand.js and the agent's fetch/browser — acquisition kept separate from reasoning, and designed so a Phase-2 scrape_brand_site / import_source MCP wrapper can supply it later); attach provenance + per-dimension source authority + observed/inferred/unknown confidence; classify reference intent (default ambiguous, never auto reference-exact); resolve conflicts by authority + freshness; and ask only material, undiscoverable questions. Emits additive ./deck-brief/input-evidence.json (scripts/scaffold-evidence.sh) with interaction_mode (autonomous/minimal_clarification/interview) and recommended_route (autonomous/brand-discovery/interview-led/reference-led/repair-transform), then routes to exactly one next skill. references/input-evidence-schema.md + references/authority-routing.md. Fully additive: absent input-evidence.json = unchanged legacy behavior. Does not touch the v0.8.2 design pipeline (design-director / build modes / QC).
Install
With the MCP connected, ask your agent for install_deck_skills — it installs the whole pack. Or fetch it directly:
npx -y giget@latest gh:deckcp/deck-skills/skills .claude/skills --forceThen restart your client and run /deckcp-input-intelligence. Pack v0.9.0 · read this skill's source