A skill your agent uses when building or auditing the related-work section of an ACM MM (ACM Multimedia) paper — covering the multimedia literature spread across vision, audio/speech, language…

MITAuto-check passedResearch & Science

Install Acmmm Related Work

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-related-work -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills acmmm-related-work --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-related-work .claude/skills/acmmm-related-work && rm -rf skills-src

Use ~/.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/

Facts

Skill name
acmmm-related-work
GitHub stars
1.2k
Token cost
~1.2k tokens
SKILL.md length
523 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when building or auditing the related-work section of an ACM MM (ACM Multimedia) paper — covering the multimedia literature spread across vision, audio/speech, language…

  • Auditing the related-work section of an ACM MM (ACM Multimedia) paper — covering the multimedia literature spread across vision
  • SKILL.md covers The five multimedia shelves, Coverage vs. venue-hygiene table, Positioning, not listing and Concurrency under arXiv speed, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Handling arXiv-speed concurrency

What it does

Acmmm Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building or auditing the related-work section of an ACM MM (ACM Multimedia) paper — covering the multimedia literature spread across vision, audio/speech, language, HCI/QoE, and systems, handling arXiv-speed concurrency, keeping citations double-blind, and verifying that cited "ACM MM papers" are ACM MM and not ICMR, MMSys, CVPR, or TOMM.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Literature review, Academic paper search and Citation management. It works with arXiv. 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

  • Auditing the related-work section of an ACM MM (ACM Multimedia) paper — covering the multimedia literature spread across vision
  • Handling arXiv-speed concurrency
  • Keeping citations double-blind
  • Verifying that cited ACM MM papers are ACM MM and not ICMR

Example prompts

  • “ACM MM papers”
  • “/acmmm-related-work”

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 Related Work loads about 1.2k tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 523 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~92
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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). 523 words, ~1,238 tokens.

Download SKILL.mdSave it as .claude/skills/acmmm-related-work/SKILL.md (or your agent's skills folder).
name
acmmm-related-work
description
Use when building or auditing the related-work section of an ACM MM (ACM Multimedia) paper — covering the multimedia literature spread across vision, audio/speech, language, HCI/QoE, and systems, handling arXiv-speed concurrency, keeping citations double-blind, and verifying that cited "ACM MM papers" are ACM MM and not ICMR, MMSys, CVPR, or TOMM.

Use this to position an ACM Multimedia paper against a literature that is unusually spread out: a cross-modal contribution touches several single-modality communities plus the multimedia venues that combine them.

The five multimedia shelves

A strong ACM MM related-work section shows command of all shelves the contribution touches, not just the author's home community:

  • Vision — the visual side (CVPR/ICCV/ECCV) your method builds on or competes with.
  • Audio/speech and music — the acoustic side (ICASSP, INTERSPEECH, ISMIR) if a stream is audio.
  • Language — the text side (ACL/EMNLP) if captions, transcripts, or descriptions matter.
  • HCI / QoE / human-centric — perception, engagement, and interaction (CHI, QoMEX) when the claim is subjective.
  • Multimedia proper — ACM MM, ICMR, MMSys, and TOMM, where these threads are combined.

Coverage vs. venue-hygiene table

TaskWhat to doFailure it prevents
Cover each modality you useCite the current best single-modality work per stream"You ignored the vision literature"
Cite the fusion lineageTrace the cross-modal line your method extends"No delta over existing fusion"
Verify the venue stringConfirm each "ACM MM" cite on dblp conf/mmMisattributing an ICMR/CVPR paper to ACM MM
Handle concurrencyNote contemporaneous arXiv work honestly"You missed / overclaimed novelty vs. X"
Keep it blindCite your own prior work in third personDouble-blind violation

Positioning, not listing

Do not enumerate. For each closest neighbor, state in one clause what it did and in one clause what your paper adds — and make sure the delta is cross-modal, since "we swap a better encoder" is a single-modality delta a reviewer will discount.

text
[Neighbor] Late-fusion audio-visual highlight scoring (VenueYear).
[Their move] Average per-modality scores.
[Our delta] Score the timing DISAGREEMENT between streams — a signal averaging cannot represent.

Concurrency under arXiv speed

Multimedia sub-areas move fast and preprint heavily. Acknowledge genuinely concurrent work (roughly same-window preprints) as concurrent rather than prior, do not claim to beat a method you did not run, and do not silently drop a close preprint — a reviewer who knows it reads the omission as evasion.

Show full SKILL.md (213 more words)Show less

Double-blind citation hygiene

  • Cite your own earlier papers in the third person ("Prior work [X] showed..."), never "our previous paper."
  • Avoid anonymity leaks through a dataset, system name, or repository that only your group uses.
  • The single-blind tracks (Reproducibility, Open Source Software, Dataset) relax this — but the main track and Brave New Ideas do not.

Building the section in passes

text
Pass 1: list the modalities and sub-fields your contribution touches (the shelves).
Pass 2: for each shelf, cite the current strongest 2-3 works you build on or beat.
Pass 3: trace the FUSION lineage — the cross-modal line your method extends — as its own thread.
Pass 4: add same-window arXiv work as concurrent, not prior.
Pass 5: verify every "ACM MM" cite on dblp; convert your self-cites to third person.

A reader should finish the section able to name which prior fusion approach you improve on and why the single-modality shelves are covered but not the whole story.

The multimedia-specific omission risk

Because a cross-modal paper sits between communities, the dangerous omission is usually the other community's closest work — a vision-trained author who misses the audio or IR paper that already did half the job. Before submitting, ask a question from each shelf's perspective: "what would an audio reviewer, an IR reviewer, and a systems reviewer each say I missed?" That triage catches the omissions that sink cross-area papers.

Venue-verification pass

Before submission, spot-check every citation that claims an ACM MM placement against dblp's conf/mm edition record. The common traps: ICMR papers cited as ACM MM, TOMM journal articles cited as the conference, and CVPR/ICCV vision papers cited as multimedia. Fix the venue string or the claim that rests on it.

Output format

text
[Shelf coverage] vision/audio/language/HCI-QoE/multimedia — <covered / gaps>
[Fusion lineage] traced / missing
[Deltas] cross-modal and specific / single-modality or vague: <list>
[Concurrency] handled / risky omissions: <list>
[Blindness] clean / leaks: <list>
[Venue hygiene] verified / suspect cites: <list>

© 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-related-work of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Acmmm Related Work 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.

Acmmm Related Work compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Acmmm Related Work this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.2kAutomated safety check: PassMIT
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Systematic Literature Review Builderbytedance/deer-flow84k2 repos~4.3kAutomated safety check: PassMIT
Paper Research on arXivXiaomiMiMo/MiMo-Code14k—~1.5kAutomated safety check: PassMIT
Literature Review AgentAr9av/PaperOrchestra6791 repos~5.2kAutomated safety check: PassCustom licence
Arxiv MCP Serverblazickjp/arxiv-mcp-server3.2k—~353Automated safety check: PassApache-2.0

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Works with

Questions about Acmmm Related Work

What does Acmmm Related Work do?

A skill your agent uses when building or auditing the related-work section of an ACM MM (ACM Multimedia) paper — covering the multimedia literature spread across vision, audio/speech, language…. Acmmm Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building or auditing the related-work section of an ACM MM (ACM Multimedia) paper — covering the multimedia literature spread across vision, audio/speech, language, HCI/QoE, and systems, handling arXiv-speed concurrency, keeping citations double-blind, and verifying that cited "ACM MM papers" are ACM MM and not ICMR, MMSys, CVPR, or TOMM.

When should I use Acmmm Related Work?

Acmmm Related Work fits situations like: auditing the related-work section of an ACM MM (ACM Multimedia) paper — covering the multimedia literature spread across vision; handling arXiv-speed concurrency; keeping citations double-blind; verifying that cited ACM MM papers are ACM MM and not ICMR.

How do I install Acmmm Related Work in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-related-work -a claude-code`. Or copy the skill folder (ACM-MM-Skills/skills/acmmm-related-work in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/acmmm-related-work in your project. Claude Code loads it when a task matches its description.

How do I install Acmmm Related Work in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-related-work -a codex`. Or copy the skill folder (ACM-MM-Skills/skills/acmmm-related-work in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/acmmm-related-work in your project. Codex loads it when a task matches its description.

Can I use Acmmm Related Work 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-related-work -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-related-work, .gemini/skills/acmmm-related-work, .github/skills/acmmm-related-work and .opencode/skills/acmmm-related-work in your project.

What does Acmmm Related Work need to run?

SKILL.md names no scripts, command-line tools or credentials: Acmmm Related Work is instructions for the agent only.

Does Acmmm Related Work 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 Related Work 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 Related Work use?

Acmmm Related Work 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 Related Work use?

About 1.2k tokens (SKILL.md is roughly 5k 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 Related Work?

Skills that share tags, products or a category with Acmmm Related Work: Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Systematic Literature Review Builder (bytedance/deer-flow, 84k stars), Paper Research on arXiv (XiaomiMiMo/MiMo-Code, 14k stars) and Literature Review Agent (Ar9av/PaperOrchestra, 679 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Acmmm Related Work?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 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.