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Generate atmospheric sound-design / SFX (NOT speech, NOT the front-of-blog BGM) via OpenRouter using Google Lyria 3 Pro.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Exhaustively profile a dataset and list ALL possible analyses — distributions, correlations, rankings, trends, group comparisons, anomalies. Reads detective.json for context. Runs after the Detective/Scout, before the Editor. Outputs analyst.json with ana_xx IDs and chart-ready data_tables.
Audit a generated Data2Story blog for build correctness across ALL modalities by ACTUALLY RENDERING it in a real headless browser (when available) — catching blank/0-width charts, broken/oversized media, desktop+mobile overflow, and dead interactions that source inspection cannot see — then having vision agents review the screenshots, playtesting every interactive, and walking the flagship capability contract. Plus VIEW every image for a wrong/AI-faked subject. Fixes layout in place; sends content-correctness problems back to the owning role. Use at Stage 6 after the Programmer assembles index.html and before the Critic; re-runs each revision round. Triggers: a built index.html exists, or you need to confirm charts/media/interactions actually render.
Design the MANDATORY cinematic scroll experience (every blog ships one): a full-bleed, scroll-driven background — primarily from the Scout's verified real imagery — plus the global motion choreography, so the narrative unfolds like a film as the reader scrolls. Owns the BACKGROUND layer + page-level motion (not the Designer's per-section visuals, not the Interaction centerpiece — it stages them inside the scroll). Outputs cinematographer.json (cin_xx scenes). There is no off path: a topic with no sourceable real imagery falls back to a generative-atmosphere or data-driven-spine background, never to a bare column.
Name the piece — re-write the masthead (headline + standfirst + kicker), every section title, and every figure/photo/table caption to a research-driven titling standard, killing the AI-tell patterns (the 'flat statement. flat counter-statement.' two-beat above all) a competent default falls into. Reads editor.md/json + analyst.json + the resolved topic_profile; writes copywriter.json — STRINGS ONLY (masthead{headline,standfirst,kicker}, items{edt_xx:{title}, des_xx:{caption}}), each backed by a real ana_*. Names, never edits: it touches no finding, no number, no data-* id, no layout — so the Verify layer is untouched and the Programmer renders the masthead + figcaptions from copywriter.json verbatim. Runs at Stage 3.5, after the Editor, before the Designer.
Review a finished Data2Story blog against the 5 quality rubric dimensions (visual_design, narrative_pacing, data_method_transparency, claim_data_alignment, insight_value), score each 1-7 with on-page evidence, and emit critic.json with pass/fail + targeted, surgical send-back instructions. Verifies every load-bearing claim/asset against its traceability chain before scoring; applies the caveat-survival, honest-accuracy, and third-party-attribution caps. Does NOT rewrite content — scores and sends back. Use at Stage 6.5 after the Auditor and after verify.py has produced verifier.json; re-runs each revision round. Triggers: a built index.html plus verifier.json exist, or you need to judge whether the article is actually good.
Generate text embeddings via OpenRouter using Qwen3-Embedding-8B.
| name | openrouter-text2music |
| description | Generate atmospheric sound-design / SFX (NOT speech, NOT the front-of-blog BGM) via OpenRouter using Google Lyria 3 Pro. |
Text → audio via OpenRouter. Default model: google/lyria-3-pro-preview.
Role in Data2Story: atmospheric sound-design / SFX only — never the front BGM. Use this for a sound the story needs that has NO findable real recording: an ambient bed (tension drone, texture, room tone) or best-effort sharp foley (e.g. a glass-shatter texture). Lyria's strength is ambient/textural beds, not crisp transients, so sharp foley is best-effort. The result is an opt-in, event/section-bound, reader-controlled element. The front-of-blog BGM must be a SOURCED real track (sourced_bgm via the Scout) — never generated here.
⚠️ This is a generative audio model, not TTS. It produces 48kHz stereo audio; for narration/voiceover use a dedicated TTS tool (e.g., OpenAI tts-1, ElevenLabs).
Resolve TOOL_DIR = the directory containing this SKILL.md. Commands below use TOOL_DIR as a symbolic placeholder; replace it with the resolved, quoted path before running Bash.
export OPENROUTER_API_KEY=sk-or-v1-...
python3 TOOL_DIR/scripts/generate_music.py \
--prompt "Low rumbling tension drone, sub-bass swell, no melody, slowly building unease" \
--download PROJECT_DIR/assets/sfx_drone.wav
Describe a TEXTURE, not a song — no genre/BPM/lead/vocals. Examples:
"low rumbling tension drone, sub-bass swell, no melody""sharp glass-shatter texture, brittle high transients" (foley — best-effort)"distant wind and creaking-ice ambience, cold and hollow"| Flag | Default | Description |
|---|---|---|
--prompt | required | Text prompt — describe the atmospheric texture / SFX (mood, materials, motion); avoid song structure |
--download | required | Output audio file path |
--model | google/lyria-3-pro-preview | Alt: google/lyria-3-clip-preview (shorter clips) |
lyria-3-pro-preview: $0.08 per callPOST /api/v1/chat/completions with modalities: ["audio","text"].message.audio, a content part with type=audio, or a data:audio/... URL embedded in the text content.