writing▌

此技能专门用于创建 SEO 优化的内容,包括:

Skill by ara.so — Daily 2026 Skills collection

Draft publication-ready ML/AI/Systems papers for top conferences with citation verification and LaTeX templates. \n \n Supports 12 major venues (NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP) with conference-specific templates, page limits, and submission requirements \n Enforces programmatic citation verification via Semantic Scholar and CrossRef APIs to prevent hallucinated references; marks unverifiable citations as explicit placeholders \n Provides writing philosophy from le

This skill provides end-to-end support for writing high-quality computer science research papers. It focuses on constructing clear, compelling technical narratives while adhering to field-specific conventions.

Apply Strunk's timeless writing rules to improve clarity and professionalism across all prose. \n \n Covers 18 core rules spanning grammar, punctuation, composition principles, and common usage mistakes \n Emphasizes active voice, positive framing, concrete language, and ruthless word elimination as key clarity drivers \n Designed for documentation, commit messages, error messages, UI copy, reports, and any prose humans will read \n Includes token-efficient subagent dispatch pattern: write a dra

Edit and improve articles by restructuring sections, enhancing clarity, and tightening prose.

Write or rewrite technical text using ASD-STE100 Simplified Technical English for clarity and precision.

Craft distinctive long-form content that matches a specific voice or brand style, not generic AI output. \n \n Captures and applies existing voice patterns from articles, newsletters, or style guides to maintain consistency across blog posts, guides, tutorials, and launch announcements \n Enforces concrete-first writing: leads with examples, screenshots, code, or data before explanation, avoiding generic openings and filler transitions \n Bans hype language and unsourced claims; requires factual

Expert-level guidance for writing publication-ready papers targeting NeurIPS, ICML, ICLR, ACL, AAAI, COLM (ML/AI venues) and OSDI, NSDI, ASPLOS, SOSP (Systems venues). This skill combines writing philosophy from top researchers (Nanda, Farquhar, Karpathy, Lipton, Steinhardt) with practical tools: LaTeX templates, citation verification APIs, and conference checklists.

Decision tree and templates for building agent skills that agents actually follow. \n \n Provides three architecture tiers based on skill complexity: Tier 1 for simple single-file skills, Tier 2 for multi-concept skills, and Tier 3 for large platforms \n Includes specialized guides for improving existing skills: modularization, anti-rationalization (preventing agent rule-ignoring), and CSO (search optimization for LLM discovery) \n Offers four skill templates covering technique, reference, disci