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from atlas-morning-briefing13
Generates a daily, Kindle-ready briefing combining arXiv papers, tech blog updates, market watch (stocks), and news — optionally enriched with Amazon Bedrock fo
This skill assembles a daily morning briefing pulling scientific papers (arXiv), tech blog posts, industry news, and configured stock watchlists. It deduplicates cross-section content, scores papers for reproducibility, and can generate a Kindle-optimized PDF. When AWS Bedrock (or another LLM back-end) is configured the skill adds topic expansion, 1–2 sentence paper summaries, semantic relevance scoring, and short editorial syntheses.
Use this skill to automate a daily research + market digest for teams or individuals who want one consolidated briefing each morning (email/Kindle or saved PDF). It fits scheduled runs (cron) or on-demand generation for report-days and pre-meeting prep.
Works with Python-based automation; integrates where agents can run shell/python scripts and provide env secrets (suitable for Copilot/Codex-like execution environments).
Morning Briefing skill generates daily digests combining arXiv papers, tech blogs, stock data, and news into Kindle-optimized PDFs with optional Bedrock AI enrichment. SKILL.md is thorough with clear prerequisites, setup instructions, and troubleshooting. Scripts are well-structured but many fail standalone due to missing Python dependencies and from scripts.* import paths that assume project context. Only 3 of 15 scripts ran cleanly in isolation.
feedparsersklearnreportlabmarkdownboto3Clean security profile — all network calls to legitimate APIs (ArXiv, Finnhub, Brave, AWS). No hardcoded creds, no destructive commands, no exfiltration risks. Main issues are dependency management and import path assumptions that break standalone execution. Well-documented SKILL.md with proper frontmatter, inputs/outputs, triggers, and requires.
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