wf-case-study-pipelinelisted

# Case Study Pipeline End-to-end workflow: pull meeting notes, draft the case study, clean it up, then push it across social and email channels. ## Stage 1: Gather Source Material Ask the user for the source: - **Granola meeting notes** → Load and run the `granola` skill to pull notes - **Raw notes or transcript** → User pastes or provides a file - **Existing draft** → User points to a file to refine Extract: customer name (or anonymous label), problem, solution, results, quotes. **Gate:** Confirm the key facts with the user before drafting. Flag anything that needs `[VERIFY]`. ## Stage 2: Draft the Case Study Load and run the `case-studies` skill for the full drafting workflow: - Branded or anonymous (ask if not specified) - Problem → Solution → Results structure - Pull metrics and quotes from source material - Include proof points from brain files **Gate:** User approves the draft. ## Stage 3: Quality Pass Load and run the `tagore` skill on the approved draft. Fix AI patterns, voice issues, and scoring problems. **Gate:** Show the Tagore score. Get approval before distributing. ## Stage 4: Social Distribution Load and run the `social-content` skill. Using the case study as source, generate: - 1-2 LinkedIn posts highlighting key results - 1-2 Twitter/X posts with compelling stats or quotes - Any other platforms the user specifies Pass forward: customer name (if branded), key metrics, the core narrative. **Gate:** User approves social posts. ## Stage 5: Email