Deep Learning Pipeline | Agent Skills Atlas

About this skill

Use when publishing a 深度学习系列 episode (deep-learning topic deep-dive — interview / paper / framework / debate) end-to-end with editorial polish. Pipeline: signature visual style (one per episode, never reuse) → HTML body → dedicated CF Pages subdomain → triple-format screenshot (4K + mobile + WeChat JPEG) → GDrive structured archive. Trigger: 深度学习管线 / learning pipeline / 专题报告 / 系列报告 / 出一期 / 新一期 / 下一期 / 第N期 / 罗福莉式 / hermes-agent式. NOT for: passive content summary (use deep-learning-skill for body generation; this skill orchestrates the full delivery pipeline around it). Mode: pipeline (sequential A→B→C→D→E).

Quick start

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Review, license & listing details

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Automated security scan: Partial

Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.

0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: 147b97634dd395665db9dabb106e20834f76acad5473a9a90fc30977727c14a4

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Original listing metadata

Original name

deep-learning-pipeline

Original description

About this listing

Category: Content & writing
Reported license: MIT
Listing language (estimated): English
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.