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AI EngineeringStata

ACL Topic Selection

by brycewang-stanford

ACL Topic Selection is an AI Engineering skill for Claude Code, published by brycewang-stanford in Awesome-Journal-Skills.

974 stars125 forkson brycewang-stanford/Awesome-Journal-SkillsAdded 2026/08/12+2% in starsRepository updated 2026/08/09
academic-researchacademic-writingagent-skillsai-agentsanthropicawesome-listcausal-inferenceclaudeclaude-codeeconometricseconomicsempirical-researchfinancejournalllmmcppeer-reviewreplicationresearch-toolsscholarly-publishing
Install in seconds
Install ACL Topic Selection
Copy ACL Topic Selection into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACL-Skills/skills/acl-topic-selection ~/.claude/skills/acl-topic-selection

Requires Node.js. Downloads this skill only โ€” not the rest of the repository โ€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/brycewang-stanford/Awesome-Journal-Skills.git

Clones the whole repository, then copy the skillโ€™s own directory into your skills folder yourself.

In this catalog

Source file
ACL-Skills/skills/acl-topic-selection/SKILL.md in brycewang-stanford/Awesome-Journal-Skills
Installs to
~/.claude/skills/acl-topic-selection
Collection
One of 53 skills cataloged from this repository
Category
AI Engineering โ€” 2451 skills

What ACL Topic Selection does

ACL Topic Selection helps decide whether an NLP project fits ACL, EMNLP, NAACL, EACL, TACL, Computational Linguistics, COLM, or an ML venue. It also guides contribution type, long-vs-short paper choice, theme-track fit, and framing before drafting.

ACL Topic Selection is cataloged under AI Engineering on DirSkills. ACL Topic Selection comes from a repository tagged academic-research, academic-writing, agent-skills, ai-agents and anthropic.

Documentation

README

ACL Topic Selection

Use this before the first draft. ACL is the flagship of the *ACL family: broadest scope across computational linguistics and NLP, the most competitive main-program bar, and โ€” under ACL Rolling Review โ€” a venue choice you finalize at commitment time, which gives topic strategy an unusual second chance.

What ACL rewards

This is the opening of the README. Read the full README on GitHub.

Frequently asked about ACL Topic Selection

  • What else does brycewang-stanford publish alongside ACL Topic Selection?

    ACL Topic Selection is one of 53 skills that DirSkills catalogs from brycewang-stanford/Awesome-Journal-Skills, the repository it ships in. Its siblings there include AAAI Artifact Evaluation, AAAI Author Response and AAAI Camera Ready. Each one is a separate skill with its own page in this directory, installs the same way ACL Topic Selection does, and is maintained by brycewang-stanford in that same repository. The rest of the collection is listed on the brycewang-stanford/Awesome-Journal-Skills page.

  • How does ACL Topic Selection compare to other AI Engineering skills?

    ACL Topic Selection ranks #1383 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of ACL Topic Selection against them. Open each page to compare what they document and how they install.

More from brycewang-stanford/Awesome-Journal-Skills

ACL Topic Selection is one of 53 skills cataloged on DirSkills from brycewang-stanford/Awesome-Journal-Skills.

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AAAI Camera Ready

Use when preparing an accepted AAAI paper for camera-ready submission. It covers page limits, template compliance, deanonymization, copyright transfer, registration, and final source-file checks.
Writing
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๐Ÿงช
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AAAI Experiments

Audit AAAI experiments for baselines, ablations, significance, robustness, human evaluation, and reproducibility checklist alignment, helping papers survive Phase-1 review by the broad-AI program committee.
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AAAI Related Work

Guides writing the related work section for AAAI papers by clearly positioning novelty against archival and contemporaneous work, while adhering to AAAIโ€™s dual-submission and AI-as-source policies.
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AAAI Reproducibility

Audit an AAAI paper's reproducibility checklist, experimental traceability, seed/hyperparameter reporting, compute disclosure, dataset licensing, and code readiness to survive AAAI's Phase-1 rigor review.
Quality
974114