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Ccs Workflow

CommunityPopular
brycewang-stanford
ccs-workflow

Use when planning an ACM CCS project timeline across the two HotCRP review cycles, from venue fit through abstract registration, full-paper upload, rebuttal, notification, revision, artifact evaluation, ACM camera-ready, and in-person presentation, with backward-planning offsets and the security big-four deadline-hopping calendar.

Overview

Publisherbrycewang-stanford
RepositoryAwesome-Journal-Skills
Skill nameccs-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 Ccs 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-CCS-Skills/skills/ccs-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-CCS-Skills/skills/ccs-workflow .claude/skills/ccs-workflow
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ccs 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 Ccs 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 Ccs 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.

CCS Workflow

Use this as the project-management skill for a CCS submission. CCS is a conference, not a journal: it has no editor-in-chief and no article-processing charge. The rotating leadership is the per-edition General Chairs and Program Co-Chairs (CCS 2026 Program Co-Chairs: Véronique Cortier and Zhiqiang Lin, reported 2026-07-08; verify against the organizing-committee page). Replace every date below with the current cycle's HotCRP deadlines and work backward.

The dual-deadline cycle

CCS runs two review cycles per year into one conference. A paper enters one cycle only; work rejected in the first cycle may not be resubmitted (even revised) to the second cycle of the same year. Pick the cycle from readiness, not hope — a thin first-cycle submission burns the year at this venue.

  • CCS 2026 (The Hague, Netherlands, Nov 15-19, 2026) Cycle A: abstract registration Jan 7, full paper Jan 14, rebuttal Mar 17-20, notification Apr 9, 2026 (verify).
  • CCS 2026 Cycle B: abstract registration Apr 22, full paper Apr 29, rebuttal Jun 29-Jul 1, notification Jul 17, 2026 (verify). Camera-ready reported Aug 21, 2026.
  • Both 2026 deadlines have passed as of 2026-07-08; treat them as a template and read the CCS 2027 CFP when posted (CCS 2027 host city was still under steering-committee selection).

Milestones

  • Venue fit: confirm the contribution is a broad security result for the SIGSAC PC.
  • Evidence lock: freeze threat model, attack/defense implementation, adaptive evaluation, measurement validation, and the ethics/disclosure posture.
  • Abstract registration: mandatory title, authors, abstract, and topics in HotCRP before the registration deadline; no paper without a registered abstract.
  • Full-paper deadline: upload the anonymized 12-page ACM sigconf PDF plus appendices.
  • Rebuttal window: respond to reviews in the short author-response period.
  • Notification: accept, minor revision (revise within the cycle), or reject.
  • Artifact evaluation: submit artifacts after acceptance for ACM badges if you opt in.
  • Camera-ready and registration: ACM proceedings version, then in-person presentation.

Backward plan from the full-paper deadline

Weeks out (heuristic)Attack-plus-defense milestone
10+Threat model frozen, attack primitive working end to end
8Defense implemented; adaptive attacker designed against it
6Measurement or evaluation runs complete, environment logged
4Ethics and responsible-disclosure section drafted, disclosure initiated
3Full draft in ACM sigconf two-column format
2Internal red-team read by an adversarial-minded colleague
1Anonymity sweep, artifact-availability statement, appendix assembly
0Abstract registered, then full paper in HotCRP

Anchor every offset to the current cycle, never to a past calendar.

Big-four deadline-hopping

CCS, IEEE S&P, USENIX Security, and NDSS run rolling multi-cycle deadlines, so a paper rejected in one can often be reworked into the next open venue within weeks. Keep a live map: a CCS Cycle A reject in April can target USENIX Security or the next NDSS cycle rather than waiting a year. Never resubmit unchanged — reviewers rotate across all four venues.

Coordination notes

  • Assign one owner for the ethics/disclosure section and another for the anonymity sweep; shared ownership is how both slip.
  • Archive the exact submitted PDF and appendices, since rebuttal replies must quote them.

Output format

text
[Current stage] idea / building / writing / abstract / submission / rebuttal / accepted / artifact
[Cycle] A / B and next official deadline (date + source, or unknown)
[Critical path] <three tasks that determine readiness>
[Risk register] <threat-model / anonymity / ethics / evidence / artifact / presentation>
[Owner map] <task -> person or role>

Frequently asked questions

What does the Ccs Workflow AI skill do?

Use when planning an ACM CCS project timeline across the two HotCRP review cycles, from venue fit through abstract registration, full-paper upload, rebuttal, notification, revision, artifact evaluation, ACM camera-ready, and in-person presentation, with backward-planning offsets and the security big-four deadline-hopping calendar.

Why use Ccs Workflow on TypingMind?

Because you install it once and use it with any model. Ccs 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 Ccs Workflow in TypingMind?

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

Which AI models can use Ccs 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 Ccs Workflow?

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

Is the Ccs 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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