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Prepare Conference Manuscripts

Community
gxCaesar
prepare-conference-manuscripts

Use when preparing, drafting, revising, polishing, rebutting, auditing, anonymizing, packaging, or checking a conference manuscript, abstract, appendix, supplement, rebuttal, author response, camera-ready paper, or conference statistical or evaluation report for AAAI, ICLR, ACL, CVPR, ICML, NeurIPS, or another peer-reviewed computing venue. Also use for single-section or section-by-section polish and resuming the next section. Includes manuscript-context figures and venue-package checks without requiring another skill; disputed experiment evidence must be resolved before changing manuscript prose.

Overview

PublishergxCaesar
Repositoryopen-research-skills
Skill nameprepare-conference-manuscripts
Stars
63
Forks
3
Bundled files
90
LicenseApache-2.0
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.

  • 90 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by gxCaesar on GitHub. Read the source before you install it.

Installation

Install the Prepare Conference Manuscripts 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/gxCaesar/open-research-skills/tree/main/skills/prepare-conference-manuscripts
  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/gxCaesar/open-research-skills.git /tmp/open-research-skills
mkdir -p .claude/skills
cp -r /tmp/open-research-skills/skills/prepare-conference-manuscripts .claude/skills/prepare-conference-manuscripts
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Prepare Conference Manuscripts 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 Prepare Conference Manuscripts 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 Prepare Conference Manuscripts 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.

Prepare Conference Manuscripts

Carry one evidence-linked paper through the conference lifecycle. First identify the venue, track, year, stage, and permitted action. Then lock the scientific contract, select one mode, apply current official rules, and verify the exact rendered artifact.

Select one mode

ModeResponsibilityRead first
reconResolve current official venue rules, template, stages, policy conflicts, and live-form unknownsmanuscript lifecycle
draftTurn an author-approved outline and locked scientific contract into manuscript sections when venue policy permitsmanuscript lifecycle, abstract and statistics
auditFalsify the claim-to-evidence map, venue compliance, anonymity, and artifact consistency without editingadversarial audit
polishMake local evidence-preserving edits to author text without changing the scientific contractmanuscript lifecycle
rebuttalBuild a complete concern-to-evidence matrix and response or discussion revisionrebuttal and revision
camera-readyReconcile accepted claims, required changes, authorship, disclosure, source, and final PDF under current instructionsmanuscript lifecycle
packageAudit the exact main PDF, supplement, code/data materials, checklist, and archive intended for submissionadversarial audit

Use one primary mode per pass. Run recon whenever the venue, year, track, stage, or official authority is uncertain. A venue profile is a dated engineering aid, not a substitute for current first-party instructions.

For a compound whole-paper request that combines polishing and packaging, whether or not it names audit, follow the whole-paper workflow and return the ordered whole-paper deliverables. It composes existing modes as separate passes, starting with intake and audit before editing, and defaults to a revision copy after the audit boundary.

Resolve the package and venue component

The directory containing this SKILL.md is the installed skill root; call it $SKILL_DIR. Every bundled component, guide, profile, and command below resolves from that directory. Do not resolve a tool through a sibling package or a repository parent.

Select a local adapter by exact venue/year/track scope. Read its official-source record before its profile or proceedings observations.

Local adapterDated scopeGuideOptional paper observations
AAAIAAAI-27 Main Technical Trackguideobservations
ICLRICLR 2027 Conferenceguideobservations
ACLACL 2026 Main Conference through ARRguideobservations
CVPRCVPR 2026 Main Conferenceguideobservations
ICMLICML 2026 Main Trackguideobservations
NeurIPSNeurIPS 2026 Main Trackguideobservations
ICCVICCV 2025 Main Conferenceguideobservations

If the requested venue/year/track differs from the dated scope, if a profile is stale, or if its current authority is uncertain, run recon before drafting, auditing, or packaging. Use generic venue-profile only when no current first-class profile matches; create a dated task-local profile from current official sources and do not mutate a bundled profile to impersonate another venue.

The linked paper observations are optional empirical drafting evidence. They can inform writing choices after official authority is resolved, but they never define venue rules, mandatory section order, or a replacement for current first-party instructions.

Record official sources as VERIFIED, UNVERIFIED, COULD_NOT_OPEN, or NOT_FOUND. Search snippets, prior-year instructions, and remembered limits are not authority. Preserve conflicts instead of choosing the convenient rule. Do not bundle or modify venue-owned style files unless redistribution and modification are explicitly allowed.

Freeze the scientific boundary before writing

Obtain the question, contribution, method or argument, data, split, comparison, independent unit, metric, uncertainty, results, limitations, and supporting artifacts. Treat them as the locked scientific contract. Manuscript work may explain or narrow that contract, but it must not create a result, change a protocol, select a favorable slice, strengthen a causal claim, or convert not_run into completed evidence.

Build a claim map for the title, abstract, contributions, main findings, and conclusion. Each claim needs its exact table, figure, theorem, analysis, or external artifact. Keep load-bearing definitions, protocol choices, and decisive evidence in the main paper. An appendix or supplement is not guaranteed reviewer attention.

For draft, work from paragraph jobs: question, evidence, interpretation, and boundary. For polish, use targeted edits and a reverse outline. Preserve every number, comparison direction, uncertainty statement, citation scope, and qualifier. Follow any narrower venue rule on AI-assisted writing.

For single-section or section-by-section polish, or "continue the next section" / "继续下一节", read section polish and continuation. Keep one manuscript/candidate and the authorized section queue in the existing project checkpoint; verify each changed section before accepting it. Continue through the whole queue when already authorized, then perform one closing cross-section check. Section completion alone is not whole-paper or submission-package completion.

When drafting or repairing a method paper's contribution, Method or Experiments explanation, read method argument cases. Use its inspected paragraph and figure anchors to connect the scientific question, method operation and comparison; do not impose a universal paper template.

Handle abstracts, statistics, and responses

Read abstract and statistics before drafting or auditing an abstract or statistical statement. Use the local abstract component for an abstract checker and the statistics-reporting component for the analysis-register validator. The abstract is a compressed claim map, not an importance pitch. Statistical and evaluation reporting must name the independent unit, estimand, uncertainty, exclusions, and multiplicity treatment actually used. Experimental design, split construction, and frozen evaluation remain upstream in the publication pipeline; this skill reports and audits them without redesigning the protocol.

For rebuttal, read rebuttal and revision. Account for every material comment. Distinguish correction, clarification, valid new evidence, principled disagreement, partial resolution, and accepted limitation. Never describe a promised or requested experiment as completed. Keep the response, revised manuscript, and change locations synchronized.

Audit source, rendering, and package

Use the local manuscript-core component with a current venue profile. Its TeX, PDF, archive, and review-report commands live under $SKILL_DIR/components/manuscript-core/. Automated checks are necessary but incomplete. Inspect the rendered PDF at the actual page size and normal reading scale for visible identity, page transitions, fonts, clipping, equations, tables, figures, captions, links, references, disclosure, and main-supplement consistency.

Run the adversarial lenses in adversarial audit. A passing format check does not establish scientific soundness, and a strong scientific argument does not waive venue rules. Report observed defects separately from inference. Give each finding the smallest valid action and a verification step.

Preserve the last accepted manuscript before a rebuttal or final revision. For camera-ready and package, compare the candidate against that baseline and reconcile all promised changes. Uploading, saving to a submission portal, posting a response, or submitting is an external action and requires explicit author authorization.

Independent completion and optional specialists

This skill completes conference prose, manuscript-context figures, current venue compliance, responses and the local submission package without another installed skill. For authorized plotting or diagram construction, read standalone figures. New or redesigned schematics default to GPT Image 2.5 concept, then native editable PPTX using available image and presentation tools directly. Produce the master, manuscript exports and inspected render, not merely a brief. Measured plots stay source-derived. Read-only audits do not authorize drawing or changing an approved figure.

When available, build-scientific-visualizations adds specialist layouts and design helpers to that same default. Its absence does not stop concept generation or local PPTX construction. Scientific design, new experiments, protocol changes and disputed result resolution remain separate research scope, whether handled directly or with optional research-publication-pipeline.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

and 30 more files.

Frequently asked questions

What does the Prepare Conference Manuscripts AI skill do?

Use when preparing, drafting, revising, polishing, rebutting, auditing, anonymizing, packaging, or checking a conference manuscript, abstract, appendix, supplement, rebuttal, author response, camera-ready paper, or conference statistical or evaluation report for AAAI, ICLR, ACL, CVPR, ICML, NeurIPS, or another peer-reviewed computing venue. Also use for single-section or section-by-section polish and resuming the next section. Includes manuscript-context figures and venue-package checks without requiring another skill; disputed experiment evidence must be resolved before changing manuscript...

Why use Prepare Conference Manuscripts on TypingMind?

Because you install it once and use it with any model. Prepare Conference Manuscripts 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 Prepare Conference Manuscripts in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gxCaesar/open-research-skills/tree/main/skills/prepare-conference-manuscripts. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Prepare Conference Manuscripts?

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 Prepare Conference Manuscripts?

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

Is the Prepare Conference Manuscripts AI skill free?

Yes. It is published on GitHub by gxCaesar under the Apache-2.0 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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