Conference Abstract — Claude Skill

Abstract that
fits the conference,
gets accepted.

Format-matched. Word-limit-checked. Reviewer-lens tested.

Most abstracts fail on format before a reviewer reads line one. This skill calibrates to your conference's exact requirements.

Conference Abstract is a Claude AI skill that writes a submission-ready conference abstract calibrated to your target conference's format, word limit, and review criteria.

⚡ Replaces 60–90 minutes of abstract writing — runs in under 3 minutes.
Get this skill — $7
Output preview — Conference Abstract
Block A · Submission-Ready Abstract
Conference-formatted. Word count displayed. Ready to paste.
Conference: ACM CHI 2026 · Track: Full Paper · Format: Unstructured · 150/150 words

Attention-aware interfaces assume sustained gaze indicates engagement — an assumption that breaks down across neurodiverse user populations. This paper presents a controlled study of 84 participants comparing three attention-detection modalities (gaze tracking, EEG theta-band activity, and self-report) on task-completion accuracy in adaptive learning environments. Gaze-based detection produced a 34% false-positive rate for ADHD participants versus 9% for neurotypical controls. EEG-based detection closed the gap to 6% vs 4%. We propose a hybrid modality-switching protocol that reduces misclassification by 61% without increasing cognitive load. Findings challenge the field's default reliance on gaze as a proxy for attention and offer a validated, implementable alternative for inclusive interface design.

Keywords: attention-aware interfaces; neurodiverse users; gaze tracking; EEG; adaptive learning; inclusive design
Contribution in sentence one. Results specific. Conclusion states implications, not results. Conference theme language present.
Block B · Reviewer Lens
How a programme committee member reads your abstract.
Likely scoring — CHI review rubric:

Originality / Novelty: Strong — challenges a field assumption with evidence
Methodological rigour: Strong — 84 participants, three modalities, controlled
Clarity: Strong — contribution stated in sentence one
Relevance to CHI: Strong — inclusive design is an explicit 2026 theme
Significance: Strong — 61% misclassification reduction is concrete

Where a reviewer might hesitate: "hybrid modality-switching protocol" — name it. One sentence on implementation complexity would pre-empt the most likely follow-up question.
Scoring is against this conference's stated rubric, not a generic rubric.
Block C · Title Variants
Three titles. Each built for a different reviewer reflex.
Option 1 (contribution-forward):
"Beyond Gaze: A Hybrid Modality Protocol for Neurodiverse Attention Detection"
Option 2 (question-format):
"Is Gaze Tracking Failing Neurodiverse Users?"
Option 3 (method + finding):
"EEG–Gaze Fusion Reduces Attention Misclassification by 61% in Neurodiverse Learners"
Recommended: Option 3 — CHI scores methodological novelty explicitly. Quantified result in the title signals this isn't a position paper.
Block D · Submission Checklist
Every compliance item for this conference. Nothing generic.
□ Word count at or below 150 words — current: 150 ✓
□ Title ≤12 words ✓
□ Keywords: 6 provided in CHI format ✓
□ Double-blind: no author names or institution markers ✓
□ No self-citations in first person ✓
□ Contribution in first two sentences ✓
□ Methodology named specifically (EEG theta-band, gaze tracking) ✓
□ Results present and quantified ✓
□ Conclusion states implications — not a restatement ✓
□ ACM CHI 2026 theme alignment present ✓
Checklist is personalised to the target conference — not a one-size template.
Full output
What you receive
✓ Submission-ready abstract (Block A)
✓ Reviewer lens analysis with scoring estimate (Block B)
✓ 3 title variants with recommendation (Block C)
✓ Pre-submission compliance checklist (Block D)
✓ Format matched to your target conference
✓ Word count displayed and enforced
✓ Double-blind compliance checked if required
1 / 5
How it works

How does Conference Abstract work?

  1. Tell Claude what you need — the skill asks 2-3 narrowing questions specific to the task.
  2. The skill runs live research and structures the output before writing a single word.
  3. An anti-slop quality gate checks the draft, then delivers a ready-to-use result for $7.
What you get

Why this abstract
gets past the desk.

🎯
Conference-calibrated. Format, word limit, and structured headers — matched before a word is written.
Format-matched
👁️
Reviewer lens included. See your abstract through the programme committee's scoring rubric.
Reviewer-tested
🛡️
Anti-slop gate blocks every opener that triggers desk rejection before review begins.
Hard cliché block
✅
Compliance checklist personalised to your conference — double-blind, keywords, deadline flagged.
Submission-ready
Who it's for

Built for anyone
doing serious research.

✓
PhD students submitting to their first major conference.
✓
Academics submitting across multiple conferences with different format requirements.
✓
Research administrators drafting on behalf of a lab or department.
✓
Researchers writing in English as a second language who need precise academic register.
Not what this is for
✕Journal article abstracts — conference and journal conventions differ significantly; use the right tool for each.
✕Promissory abstracts for conferences that require completed work — the skill will flag this early so you don't waste a submission.
✕Writing the paper itself — this produces the abstract; the research and results must already exist.

The complete guide to conference abstract writing covers what makes an abstract that clears review versus one that gets declined.

"Submitted to three conferences in one afternoon. Each abstract was formatted differently, word count correct, and the reviewer lens caught a double-blind violation I'd have missed. All three got accepted."
RK
Ravi K.
Product manager, Bangalore · Student Bundle
Get it now
Abstract
that clears review.
$7.

Instant download. Works with your free Claude account. 7-day refund if it's not what you expected.

Buy Conference Abstract Skill — $7
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