Topics
ZimoLiao/scholaraio
A skill your agent uses when the user asks about research themes, topic distribution, BERTopic clustering, topic overview, topic papers, topic merges, or HTML topic visualizations.
A skill your agent uses when deciding whether a project is a genuine ACM MM (ACM Multimedia) contribution rather than single-modality work, choosing a thematic area, and routing between ACM MM…
MITAuto-check passed
Install Acmmm Topic Selection
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-topic-selection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills acmmm-topic-selection --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ACM-MM-Skills/skills/acmmm-topic-selection .claude/skills/acmmm-topic-selection && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "acmmm-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-MM-Skills/skills/acmmm-topic-selection into .claude/skills/acmmm-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acmmm-topic-selection", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-MM-Skills/skills/acmmm-topic-selectionType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-topic-selection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills acmmm-topic-selection --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ACM-MM-Skills/skills/acmmm-topic-selection .agents/skills/acmmm-topic-selection && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "acmmm-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-MM-Skills/skills/acmmm-topic-selection into .agents/skills/acmmm-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acmmm-topic-selection", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-topic-selection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills acmmm-topic-selection --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ACM-MM-Skills/skills/acmmm-topic-selection .cursor/skills/acmmm-topic-selection && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "acmmm-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-MM-Skills/skills/acmmm-topic-selection into .cursor/skills/acmmm-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acmmm-topic-selection", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path ACM-MM-Skills/skills/acmmm-topic-selection--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-topic-selection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills acmmm-topic-selection --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ACM-MM-Skills/skills/acmmm-topic-selection .gemini/skills/acmmm-topic-selection && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "acmmm-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-MM-Skills/skills/acmmm-topic-selection into .gemini/skills/acmmm-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acmmm-topic-selection", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills acmmm-topic-selectionInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-topic-selection -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/ACM-MM-Skills/skills/acmmm-topic-selection .github/skills/acmmm-topic-selection && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "acmmm-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-MM-Skills/skills/acmmm-topic-selection into .github/skills/acmmm-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acmmm-topic-selection", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-topic-selection -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills acmmm-topic-selection --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ACM-MM-Skills/skills/acmmm-topic-selection .opencode/skills/acmmm-topic-selection && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "acmmm-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-MM-Skills/skills/acmmm-topic-selection into .opencode/skills/acmmm-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acmmm-topic-selection", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
acmmm-topic-selection- GitHub stars
- 1.2k
- Token cost
- ~1.4k tokens
- SKILL.md length
- 713 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when deciding whether a project is a genuine ACM MM (ACM Multimedia) contribution rather than single-modality work, choosing a thematic area, and routing between ACM MM…
- Deciding whether a project is a genuine ACM MM (ACM Multimedia) contribution rather than single-modality work
- SKILL.md covers Fit test, Fit signal table, Picking the thematic area and Vignette: where an…, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Choosing a thematic area
What it does
Acmmm Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project is a genuine ACM MM (ACM Multimedia) contribution rather than single-modality work, choosing a thematic area, and routing between ACM MM, CVPR/ICCV, ACL/EMNLP, ICMR, MMSys, NeurIPS/ICLR, and the ACM TOMM journal by finding the cross-modal or media-systems core of the contribution.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.
When your agent uses it
- Deciding whether a project is a genuine ACM MM (ACM Multimedia) contribution rather than single-modality work
- Choosing a thematic area
- Routing between ACM MM
- The ACM TOMM journal by finding the cross-modal
Example prompts
- “/acmmm-topic-selection”
What it can do on your machine
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Acmmm Topic Selection loads about 1.4k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 713 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 713 words, ~1,413 tokens.
Download SKILL.mdSave it as
.claude/skills/acmmm-topic-selection/SKILL.md (or your agent's skills folder).- name
- acmmm-topic-selection
- description
- Use when deciding whether a project is a genuine ACM MM (ACM Multimedia) contribution rather than single-modality work, choosing a thematic area, and routing between ACM MM, CVPR/ICCV, ACL/EMNLP, ICMR, MMSys, NeurIPS/ICLR, and the ACM TOMM journal by finding the cross-modal or media-systems core of the contribution.
ACM MM Topic Selection
Use this before writing. ACM MM is strongest for work that treats more than one medium at once — vision, audio/speech, language, sensor, interaction — or that advances the systems that transport, index, and render media. The core test is whether the contribution lives at a seam between media.
Fit test
- Prefer ACM MM when the contribution is cross-modal integration (fusion, alignment, cross-modal retrieval/generation), a media-systems advance (streaming, QoE, transport), or a human-centric media result (emotion, aesthetics, engagement, art).
- Route to CVPR/ICCV/ECCV if the contribution is a pure computer-vision claim — a better detector, segmenter, or backbone with no essential second modality.
- Route to ACL/EMNLP if it is a pure language claim, and to NeurIPS/ICLR if it is a general ML method whose multimedia setting is incidental.
- Route to ICMR for retrieval-centric work that is more IR than multimedia systems, to MMSys for systems/networking-heavy media delivery, and to the ACM TOMM journal when the work needs journal-length treatment.
- Confirm the argument can be made convincing in a 6–8 page sigconf body.
Fit signal table
| Signal in the project | ACM MM reading |
|---|---|
| Two or more modalities that must interact for the result to hold | Core fit — the house genre |
| A reusable media system, framework, or dataset the community adopts | Core fit (Open Source / Dataset tracks) |
| Subjective quality / emotion / engagement measured with a user study | Core fit (human-centric areas) |
| A single-modality benchmark win (vision-only, text-only) | Better at CVPR/ICCV or ACL |
| Retrieval accuracy with no systems or cross-modal novelty | ICMR or SIGIR |
| Media delivery / networking with little content modeling | MMSys |
Picking the thematic area
The main track is split into thematic areas (Multimodal Fusion; Generative and Foundation Models; Search and Recommendation; Emotional and Social Signals; Art and Culture; Systems; Transport and Delivery; Responsible Multimedia; and more). The area is not cosmetic — it selects your reviewers. Name the primary area honestly; if the paper genuinely spans two, pick the one whose reviewers can best judge the contribution, not the application.
Vignette: where an audio-visual model goes
A project fuses lip motion and speech to improve transcription in noise. ACM MM reading: strong fit — the gain exists only because two modalities correct each other, which is the Multimodal-Fusion heartland. Strip the audio and keep a visual speech-recognition benchmark, and the same project reads as a CVPR paper; strip the video and tune a language model on the transcripts, and it becomes an ACL/speech paper. The multimedia contribution is the correction between streams.
Show full SKILL.md (305 more words)Show less
Routing within ACM MM
Deciding it is an ACM MM paper is only half the choice; the track shapes everything after.
| The project's center of gravity | Track within ACM MM |
|---|---|
| A method paper with cross-modal results | Main track (pick a thematic area) |
| A bold vision / new direction, evidence lighter | Brave New Ideas |
| A shared task entry with a competitive result | Multimedia Grand Challenge |
| A reusable, documented software system | Open Source Software Competition |
| A new dataset or benchmark | Dataset track |
| A rebuild of prior published results | Reproducibility track |
The tracks differ in blinding and in what reviewers reward, so a strong-but-early idea does better in Brave New Ideas than as a thin main-track method paper, and a great system does better in the Open Source competition than buried as a main-track artifact.
The single-modality trap
The most common misroute is a single-modality paper wearing a multimedia costume: audio or text is bolted on but never shown to matter. If a leave-one-modality-out ablation would leave the result essentially unchanged, the paper is not cross-modal, and an ACM MM reviewer will say so. Either make the second modality load-bearing or route the paper to its true home venue before writing — retrofitting multimedia framing onto a vision or NLP result rarely survives review.
Sharpening moves before committing
- Name the cross-modal or systems primitive: the fusion mechanism, the alignment objective, the delivery scheme, or the perceptual measure. If none exists, the ACM MM framing does not either.
- Decide the track early — main vs. Brave New Ideas (vision paper), Open Source Software, Dataset, or Reproducibility — because each has a different format and blinding rule.
- If the payoff is subjective, plan a user study now; ACM MM reviewers expect perceptual claims to be measured, not asserted.
- Thematic-area lists drift between cycles; scan the current Topics of Interest before final routing.
Output format
[Fit] strong ACM MM / possible ACM MM / better elsewhere
[Best venue] ACM MM / CVPR / ICCV / ACL / ICMR / MMSys / NeurIPS / TOMM / other
[Thematic area] <primary area, if ACM MM>
[Cross-modal or systems core] <one sentence>
[Top rejection risk] <single-modality framing / weak fusion / no user study / scope>
[Next action] <method, user study, framing, or venue switch>© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in ACM-MM-Skills/skills/acmmm-topic-selection of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Acmmm Topic Selection next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Acmmm Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.4k | Automated safety check: Pass | MIT | |
| TopicsZimoLiao/scholaraio | 576 | — | ~294 | Automated safety check: Pass | MIT | |
| Topic Modelingbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~3.7k | Automated safety check: Pass | Custom licence | |
| Acm Workshop On Hot Topics In Networksfranklee16/academic-research-skills | 223 | 1 repos | ~1.9k | Automated safety check: Pass | None | |
| Bestblogs Topicginobefun/BestBlogs | 4k | — | ~670 | Automated safety check: Pass | None | |
| Zsxq Topicitwanger/toBeBetterJavaer | 18k | — | ~564 | Automated safety check: Pass | None |
Similar skills
Topic Modeling
brycewang-stanford/Auto-Empirical-Research-Skills
Structural topic modeling: STM spec, topic count, coherence-exclusivity.
Acm Workshop On Hot Topics In Networks
franklee16/academic-research-skills
A skill your agent uses when targeting ACM Workshop on Hot Topics in Networks (HotNets) or deciding whether a computer-science manuscript fits this venue.
Bestblogs Topic
ginobefun/BestBlogs
A skill your agent uses when the user asks about a specific topic, subject area, or wants to explore curated topic pages on BestBlogs.
Zsxq Topic
itwanger/toBeBetterJavaer
知识星球主题管理：搜索主题、查看主题详情、发布帖子、编辑主题、发表评论、回复某条评论（楼中楼）、回答提问、删除主题；通过 api call 查看主题评论列表、设置精华、设置标签、查看自己提的问题与已回答记录。当用户需要查找内容、发帖、编辑主题、评论、回复评论、回答问题、删除主题、查看主题评论、查看自己的提问记录、或管理主题精华和标签时使用。
Pubmed Topic Recommend
aipoch/medical-research-skills
Generate ~5 actionable research topic recommendations by querying PubMed E-utilities; use when a user provides a research direction/constraints and needs evidence-backed topic ideas quickly.
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Questions about Acmmm Topic Selection
What does Acmmm Topic Selection do?
A skill your agent uses when deciding whether a project is a genuine ACM MM (ACM Multimedia) contribution rather than single-modality work, choosing a thematic area, and routing between ACM MM…. Acmmm Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project is a genuine ACM MM (ACM Multimedia) contribution rather than single-modality work, choosing a thematic area, and routing between ACM MM, CVPR/ICCV, ACL/EMNLP, ICMR, MMSys, NeurIPS/ICLR, and the ACM TOMM journal by finding the cross-modal or media-systems core of the contribution.
When should I use Acmmm Topic Selection?
Acmmm Topic Selection fits situations like: deciding whether a project is a genuine ACM MM (ACM Multimedia) contribution rather than single-modality work; choosing a thematic area; routing between ACM MM; the ACM TOMM journal by finding the cross-modal.
How do I install Acmmm Topic Selection in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-topic-selection -a claude-code`. Or copy the skill folder (ACM-MM-Skills/skills/acmmm-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/acmmm-topic-selection in your project. Claude Code loads it when a task matches its description.
How do I install Acmmm Topic Selection in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-topic-selection -a codex`. Or copy the skill folder (ACM-MM-Skills/skills/acmmm-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/acmmm-topic-selection in your project. Codex loads it when a task matches its description.
Can I use Acmmm Topic Selection in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-topic-selection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/acmmm-topic-selection, .gemini/skills/acmmm-topic-selection, .github/skills/acmmm-topic-selection and .opencode/skills/acmmm-topic-selection in your project.
What does Acmmm Topic Selection need to run?
SKILL.md names no scripts, command-line tools or credentials: Acmmm Topic Selection is instructions for the agent only.
Does Acmmm Topic Selection access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Acmmm Topic Selection safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Acmmm Topic Selection use?
Acmmm Topic Selection is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Acmmm Topic Selection use?
About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Acmmm Topic Selection?
Skills that share tags, products or a category with Acmmm Topic Selection: Topics (ZimoLiao/scholaraio, 576 stars), Topic Modeling (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars), Acm Workshop On Hot Topics In Networks (franklee16/academic-research-skills, 223 stars) and Bestblogs Topic (ginobefun/BestBlogs, 4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Acmmm Topic Selection?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.
Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.