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Acmmm Workflow

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brycewang-stanford
acmmm-workflow

Use when planning the end-to-end ACM MM (ACM Multimedia) campaign calendar — from thematic-area scoping and track choice, through the April OpenReview abstract/paper/supplement chain, the June anonymous rebuttal, the July decision, the August camera-ready, and the November presentation in Rio, with the right skill invoked at each stage.

Overview

Publisherbrycewang-stanford
RepositoryAwesome-Journal-Skills
Skill nameacmmm-workflow
Stars
1.2K
Forks
159
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by brycewang-stanford on GitHub. Read the source before you install it.

Installation

Install the Acmmm Workflow AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-MM-Skills/skills/acmmm-workflow
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git /tmp/Awesome-Journal-Skills
mkdir -p .claude/skills
cp -r /tmp/Awesome-Journal-Skills/ACM-MM-Skills/skills/acmmm-workflow .claude/skills/acmmm-workflow
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Acmmm Workflow in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Acmmm Workflow on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Acmmm Workflow is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

ACM MM Workflow

Use this to run an ACM Multimedia submission as a scheduled campaign rather than a deadline scramble. The SIGMM calendar has a long gap between the April submission chain and the July decision, so the work clusters at the front and the back.

The ACM MM calendar (2026 anchors, AoE)

Phase2026 dateWhat must be trueSkill
Scope + track choicepre-MarchContribution is cross-modal; thematic area and track chosenacmmm-topic-selection
Draft + evidenceMarchFirst page leads with the multimedia claim; ablations plannedacmmm-writing-style, acmmm-experiments
AbstractMar 25Abstract registered in OpenReviewacmmm-submission
PaperApr 16–8 sigconf pages, anonymous, final PDFacmmm-submission
SupplementApr 8Media/appendix package, anonymous, playsacmmm-supplementary
Rebuttal~Jun 4Anonymous response, small confirmatory resultsacmmm-author-response
Notification~early JulDecision + tieracmmm-review-process
Camera-ready~Aug 6De-anonymized ACM version, artifact releasedacmmm-camera-ready
ConferenceNov 10–14Registered; media-ready talk/posteracmmm-camera-ready

Treat these dates as the 2026 snapshot; reopen the current site each cycle. Note the 2026 notification date was listed inconsistently (July 7 on the CFP vs. July 9 elsewhere).

Front-loaded work (before April)

The April chain is unforgiving because three deadlines land in eight days. Do the slow work early:

  • Lock the thematic area and track — they set format and blinding, and switching late is expensive.
  • Build the cross-modal evidence: matched baselines and the leave-one-modality-out ablation that proves the fusion matters.
  • Plan any user study now; recruiting raters cannot be done in the final week.
  • Draft so the first page already leads with the multimedia contribution.

The three-deadline sprint

text
T-14d: freeze claims; media assets rendering from scripts
T-7d:  body fits 6-8 sigconf pages; references on overflow pages only
Mar 25: abstract registered (do not miss the earliest deadline)
Apr 1:  paper PDF final, anonymous, metadata-clean
Apr 8:  supplement packaged, anonymous, media plays for a stranger

The long gap and the rebuttal

Between April and June, prepare the confirmatory experiments a reviewer is likely to ask for (the missing baseline, the extra ablation) so the June rebuttal is a matter of reporting results, not scrambling to run them.

Back end (July–November)

  • On acceptance, de-anonymize, complete ACM rights/CCS, and release the public artifact.
  • Register early and plan travel to Rio; visas and international logistics are the usual failure.
  • Build a presentation that plays the media — the seam between modalities should be seen/heard, not just described.
  • On rejection, use the reviews to re-target: MM Asia, ICMR, a workshop, or next year's MM.

Risk register

RiskWhere it bitesMitigation
Missing the abstract deadlineMar 25 forecloses the paperRegister the abstract days early
Wrong track blindingDesk rejectConfirm the track call before formatting
Fusion not shown to matterReviews / rebuttalRun the leave-one-modality-out ablation pre-submission
User study not recruited in timePerceptual claim unbackedStart recruiting before April
Broken anonymous media linkLost evidence in reviewTest the mirror from a clean machine
Rio travel/visa delayCannot presentStart visa paperwork at acceptance

Re-targeting after a rejection

An ACM MM rejection is not the end of the work. Match the reviews to the next move: a retrieval-leaning paper can go to ICMR; a systems-leaning one to MMSys; a regionally scoped or earlier-stage result to ACM Multimedia Asia or a workshop; a matured version to the ACM TOMM journal or next year's ACM MM. Fix the decisive critique — usually the cross-modal-significance one — before resubmitting anywhere.

Output format

text
[Current phase] <scope/draft/abstract/paper/supplement/rebuttal/decision/camera-ready/conference>
[On track?] yes / at-risk: <what slips>
[Next deadline] <date + deliverable>
[Active skill] <which skill to run now>
[Risks] <ordered>

Frequently asked questions

What does the Acmmm Workflow AI skill do?

Use when planning the end-to-end ACM MM (ACM Multimedia) campaign calendar — from thematic-area scoping and track choice, through the April OpenReview abstract/paper/supplement chain, the June anonymous rebuttal, the July decision, the August camera-ready, and the November presentation in Rio, with the right skill invoked at each stage.

Why use Acmmm Workflow on TypingMind?

Because you install it once and use it with any model. Acmmm Workflow is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Acmmm Workflow in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-MM-Skills/skills/acmmm-workflow. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Acmmm Workflow?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Acmmm Workflow?

As many as you like. As long as a model supports skills, you can use Acmmm Workflow with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Acmmm Workflow AI skill free?

Yes. It is published on GitHub by brycewang-stanford under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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