Format anonymized ICPP 2026 submissions using ACM sigconf and LaTeX.
npx skills add https://github.com/SimonZeng7108/ccf-conference-skills --skill icpp
Please help me install this Agent Skill. Skill: icpp Source: https://github.com/SimonZeng7108/ccf-conference-skills/tree/main/ccf-conference-skills/icpp Command: npx skills add https://github.com/SimonZeng7108/ccf-conference-skills --skill icpp
Crafting anonymized ICPP 2026 submissions is streamlined with clear writing and strict formatting guidance that aligns with ACM acmart sigconf and camera-ready expectations.
Ask the AI to generate an anonymized ICPP 2026 manuscript skeleton using the sigconf template.
High-intent search queries and answers about installing and using this skill.
To format an anonymous ICPP 2026 submission, use the ACM acmart sigconf class and enable anonymous options to remove author identifying information for double-blind review. This ensures your conference paper meets strict formatting and structure guidelines.
Double-blind review formatting removes author names, affiliations, and acknowledgments from the manuscript. For ICPP submissions, this involves setting specific anonymous options in the acmart sigconf LaTeX template to hide identifying details during peer review.
Yes, the acmart sigconf class is required for ICPP camera-ready preparation. After the anonymous review phase, you update the LaTeX template to include author details, proper bibliography style, and final formatting adjustments.
You can generate a LaTeX skeleton by requesting an ICPP 2026 manuscript outline structured with the sigconf template. This provides the correct acmart sections, bibliography style, and anonymized settings required for the submission.
ICPP 2026 submissions must adhere to specific page limits defined by the conference and use the designated acmart bibliography style. The sigconf template enforces these constraints automatically when properly configured in your LaTeX document.
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