share

# share Take a finished report and produce platform-native content, ready to paste. Nothing generic: each platform gets its own format, length, and link etiquette. ## Workflow 1. **Locate the report.** A file the user points at, the report from this conversation, or — if there is none — offer to run the `bullshit-detector` skill first. 2. **Ask which platforms** if not stated. Default set: X thread + LinkedIn post. 3. **Write the posts** following the per-platform specs in [PLATFORMS.md](PLATFORMS.md) exactly — hooks, length limits, link placement. Output each as a separate fenced block the user can copy verbatim. 4. **Carousel (if requested or if the platform benefits):** extract the report into a `slides.json` (schema below) and render: ```bash uv run <this-skill-dir>/scripts/render_carousel.py slides.json -o carousel/ ``` First run needs a one-time browser install: `uv run --with playwright playwright install chromium`. Output: `slide-N.png` (1080×1350, works on X, LinkedIn, Instagram) + `carousel.pdf` (LinkedIn document post). ## slides.json schema ```json { "title": "Video/article title", "source": "Author · Platform · 1.16M views", "score": 5, "verdict_line": "Real tools, fantasy income math", "footer": "@their-handle · their-link (the sharer's, not the tool author's — see rules)", "slides": [ { "type": "hook" }, { "type": "claim", "n": "1/12", "claim": "Quoted or paraphrased claim, ≤200 chars", "verdict": "misleading", "evidence": "One-...