assemble-documentlisted

Assemble the final month-end delivery manifest — every approved post with its copy, creative files, platform variants, and metadata in one structured JSON handoff. Triggers on "/assemble-document", "assemble the delivery", "final document", "package the month", "client handoff file", "delivery manifest", or when all posts are approved and the month needs packaging. Runs after finalize-month; the output is what the client receives.
teachskillofskills-ai/SocialForge-techshu · ★ 0 · Data & Documents · score 76

Install: claude install-skill teachskillofskills-ai/SocialForge-techshu

# /socialforge:assemble-document — Document Assembler Create the final delivery manifest — a structured JSON file describing the complete monthly calendar, its posts, copy, and metadata. The manifest is the deliverable this skill produces; a formatted DOCX is a manual/optional step downstream (see below). ## Manifest Structure `assemble_docx.js` emits these sections into the JSON manifest: 1. Title block (brand name, month, generation timestamp) 2. Monthly overview (post count, platform breakdown, tier distribution, content-type distribution) 3. Weekly sections: - For each post: post id, date, title, tier, platforms, content type, copy option A, visual direction, creative mode, status 4. Publishing schedule (date, day of week, post id, title, platforms) ## Process 1. Load calendar-data.json and status-tracker.json for the brand + month 2. Group posts by week and merge in each post's tracked status and creative mode 3. Build the manifest structure 4. Save to `${CLAUDE_PLUGIN_DATA}/socialforge/output/{brand}/{month}/FINAL/00-Calendar-Document/{brand}-{month}-calendar.json` (falls back to `~/socialforge-workspace/output/...` when `${CLAUDE_PLUGIN_DATA}` is unset) ## AI-assistance note (delivery manifest) Read `ai_disclosure` from brand-config.json (missing block = `{"mode": "claude-surfaces", "text": null}`) and decide whether the manifest carries the AI-assistance note: 1. Run `python ${CLAUDE_PLUGIN_ROOT}/scripts/detect_surface.py --mode {mode}` — its `disclosure_ap