case-studylisted

# Case Study Dispatcher Resolve the project, intended reader, available evidence, and requested format. Mark missing facts; never fill them with plausible fiction. ## Route | Need | Load | |---|---| | Flat timeline or missing story | `narrative-arc-builder` | | Screens without rationale | `extract-design-rationale` | | Architecture shapes the experience | `system-architecture-translator` | | Imprecise or inflated technical copy | `technical-microcopy-editor` | | Dense, repetitive, slow-to-scan draft | `enforce-scannable-density` | | AI agent or probabilistic system | `ai-agent-case-study` plus the applicable skills above | | Complex multichannel or branching journey | `case-study-storytelling` and `case-study-story-map` | | Deep stakeholder decision narrative | `case-study-design-decisions` | | General long-form drafting and finishing | `case-study-writing` | Load the smallest set that covers the evidence and requested deliverable. When the user asks for a complete build from raw artifacts, apply the automated pipeline below as one workflow, not as separate reports. ## Automated pipeline ```text Raw logs / notes / code / research → narrative-arc-builder → system-architecture-translator (when architecture affects the experience) → extract-design-rationale → technical-microcopy-editor → enforce-scannable-density → quality gate ``` For an AI-agent case study, apply `ai-agent-case-study` across every stage. It governs autonomy, permission, observability, uncert