broadcastlisted

Produces a daily healthcare AI news audio briefing — ingests from eleven registered sources (PubMed, arXiv, medRxiv, FDA guidance, regulations.gov, FDA MAUDE device adverse events, ONC/ASTP, CMS, and industry RSS feeds), dedupes and ranks stories, pins every claim to its source via a real evidence-pinning MCP server, generates a spoken script, rewrites each story with AI narration (grounded, with an automatic fallback to plain text if the narration can't be verified against its source), runs a QA gate, synthesizes audio via Gemini TTS, and produces GitHub-Pages-ready distribution artifacts (podcast RSS feed + Obsidian vault note). Use this skill when the user wants to run, generate, produce, or publish a healthcare AI briefing episode or podcast; asks about the status of a broadcast episode or run; wants to debug a failed or partial episode (QA failures, narration failures, TTS rate limits); wants to add/remove/tune an ingest source; or asks how the broadcast pipeline works. Requires GEMINI_API_KEY and a loca
Hefrock/agent-skills · ★ 0 · AI & Automation · score 68

Install: claude install-skill Hefrock/agent-skills

# Broadcast — Healthcare AI News Briefing An automated pipeline that turns the day's healthcare AI news into one spoken-word audio episode, end to end: ingest → dedup/rank → evidence-pinning → script generation → AI narration → QA gate → audio synthesis → distribution artifacts. Every stage is a standalone, independently-tested Python module in `scripts/`; `orchestrate.py` wires them into one real run. Read this whole file before running anything live — several of the operational risks below were only discovered by actually running the pipeline against real APIs, and repeating those mistakes wastes real (rate-limited, sometimes shared) API quota. ## Prerequisites - Python 3.12 (stdlib only — no `pip install` needed for any broadcast script). - Node 22, and the evidence-pinning-mcp server built once (`orchestrate.py` spawns it as a subprocess automatically — it does not need to already be running, just built): ```bash cd mcp/evidence-pinning && npm ci && npm run build ``` - `GEMINI_API_KEY` set in the environment. Used for embeddings (dedup/ranking), AI narration, and text-to-speech — all three stages fail without it. - `REGULATIONS_GOV_API_KEY` (optional). Without it, `regulations_gov` ingest uses the shared `DEMO_KEY` (10 req/hr, no registration) — that quota is shared with every other `DEMO_KEY` caller globally, not scoped to this pipeline, so it can be exhausted by unrelated traffic regardless of how often this pipeline actually runs. A free key from [api.data.go