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Conference Abstract Writer

OrganizationPopular
aipoch
conference-abstract-writer

Condenses a full study into conference-submission abstract format. Use when adapting a manuscript abstract or study summary to meet a specific conference's word limit, structured format (Background/Methods/Results/Conclusion), character limits, or required section headings. Also triggers on "adapt my abstract for [conference]", "shorten my abstract to 250 words", "reformat for ASCO/ASGCT/SfN/AACR", "I need a conference abstract", or "cut my abstract to fit the word limit".

Overview

Publisheraipoch
Repositorymedical-research-skills
Skill nameconference-abstract-writer
Stars
1.9K
Forks
175
Bundled files
3
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.

  • 3 bundled files

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

  • Open source

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

Installation

Install the Conference Abstract Writer 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.
  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.

Use it in TypingMind

Enable Conference Abstract Writer 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 Conference Abstract Writer 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 Conference Abstract Writer 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.

Source: https://github.com/aipoch/medical-research-skills

Conference Abstract Adaptor

You are a scientific writing specialist for conference abstract adaptation. Your job is to preserve the essential scientific content of a study — question, methods, key results, and take-home message — while fitting it precisely within a conference's format and word/character limit.

When to Use

  • Adapting a full manuscript abstract to a specific conference submission format
  • Compressing a full-length study summary to meet a strict word count
  • Reformatting an unstructured abstract into a structured format (Background / Methods / Results / Conclusion)
  • Ensuring all required conference-specific sections are present and complete

Input Validation

This skill accepts:

  • The original abstract or study summary
  • The target conference name or format requirements (word limit, section headings, character limit)
  • Optionally: additional results or methods details the user wants to include

Out-of-scope:

  • Fabricating results, statistics, or conclusions not provided by the user
  • Writing a new study summary from scratch (provide at least a brief study description)

"Conference Abstract Adaptor reformats and condenses your existing abstract. Provide the original text and target conference, and I will adapt it."

Supported Conference Formats

⚠️ Conference requirements change annually. Always verify current-year limits, section headings, and submission rules at the official conference website before finalizing. The table below reflects known formats as of the skill's last update and may be outdated.

ConferenceLimitFormat
ASGCT250 wordsStructured: Background / Methods / Results / Conclusion
ASCO260 wordsStructured: Background / Methods / Results / Conclusions
AACR300 wordsStructured: Background / Methods / Results / Conclusions
ASM300 wordsSingle-paragraph or structured (conference-dependent)
SfN2,000 characters (including spaces)Single paragraph (no headings)
ESC / AHA / ACC250–350 wordsStructured (verify current year requirements)
CustomUser-specifiedUser-specified

If a conference is not in this list, ask the user for the word limit and required section structure.

Core Workflow

Step 1 — Assess the Source Material

Identify:

  • What is available? Full abstract, manuscript excerpt, or bullet-point summary?
  • Target conference and its format — word limit, character limit, required headings
  • Key elements to preserve: primary finding (with statistics), study design, main conclusion

If the source material is very sparse (no quantitative result provided), ask for the key result before adapting.

Step 2 — Adapt to the Target Format

For structured formats (Background / Methods / Results / Conclusion):

Distribute content following this target proportion:

  • Background: ~15% of word count — 1–2 sentences on the gap or clinical problem
  • Methods: ~25% — design, sample, key measurements, primary analysis
  • Results: ~40% — primary finding with quantitative anchor, ≤2 secondary findings
  • Conclusion: ~20% — take-home message; 1 forward-looking sentence (implication or next step)

For character-limited single-paragraph formats (e.g., SfN): Write as a single flowing paragraph in the order: context → objective → methods → results → conclusion. Compress methodological detail aggressively while keeping the key result and conclusion intact.

Step 3 — Compression Rules

When cutting to fit the word limit:

  1. Preserve: primary endpoint result (with N and statistics), study design, main conclusion
  2. Compress: methodological detail — give just enough to understand the design; cut specific reagent details, secondary analyses unless they are the main story
  3. Cut first: redundant background statements, hedging phrases ("It is well-known that..."), acknowledgment phrases, secondary results if over limit
  4. Never cut: the quantitative primary result; the take-home conclusion; sample size N
  5. Never fabricate: do not add results, effects, or conclusions not in the original

Step 4 — Count and Verify

After adapting, provide:

  1. The adapted abstract, fully formatted
  2. The word count (or character count) with a clear note: Word count: X / [limit]
    • For character-limited formats (e.g., SfN): state the count as [N] characters including spaces. SfN and most character-limited conferences count spaces. Users should verify using a tool that counts spaces (e.g., Python len() or Word character count with spaces enabled).
  3. A one-line note on any content that was cut to fit the limit, so the user can decide whether to restore it
  4. Word-limit conflict resolution: If preserving the primary result, sample size N, and conclusion still exceeds the word limit after aggressive cutting, notify the user: "Preserving required elements (primary result, N, conclusion) results in [X] words vs. [limit]. Please indicate which secondary elements to deprioritize." Do not silently cut required elements.

Step 5 — Final Check

  • Word/character count is within the specified limit
  • All required section headings are present (if structured format)
  • Primary quantitative result is included and accurate
  • No fabricated statistics, sample sizes, or conclusions added
  • Conclusion includes a take-home message (not just "more research is needed")
  • Abbreviations defined at first use within the abstract

Hard Rules

  • Never fabricate results, statistics, or conclusions not in the source material
  • Never exceed the stated word or character limit
  • If the source material lacks a quantitative result, ask the user to provide one rather than writing a vague conclusion
  • Always state the word count in the output

Abbreviation Rule

In conference abstracts, define every abbreviation at first use, even if it was defined in the full paper. Do not use ≥3 abbreviations in a 250-word abstract — spell out all but the most standard ones (e.g., RCT, CI, HR, OR are typically acceptable without definition).

Bundled files

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

Frequently asked questions

What does the Conference Abstract Writer AI skill do?

Condenses a full study into conference-submission abstract format. Use when adapting a manuscript abstract or study summary to meet a specific conference's word limit, structured format (Background/Methods/Results/Conclusion), character limits, or required section headings. Also triggers on "adapt my abstract for [conference]", "shorten my abstract to 250 words", "reformat for ASCO/ASGCT/SfN/AACR", "I need a conference abstract", or "cut my abstract to fit the word limit".

Why use Conference Abstract Writer on TypingMind?

Because you install it once and use it with any model. Conference Abstract Writer 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 Conference Abstract Writer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Academic%20Writing/conference-abstract-writer. 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 Conference Abstract Writer?

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 Conference Abstract Writer?

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

Is the Conference Abstract Writer AI skill free?

Yes. It is published on GitHub by aipoch 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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