Academic paper

Academic Paper Skill

Generate publication-ready academic research papers as professionally formatted PDFs. This skill covers the full pipeline: gathering inputs → writing/rewriting → figure creation → PDF formatting with reportlab → submission preparation for SSRN/arXiv.

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Workflow Decision Tree

When the user triggers this skill, figure out where they are:

User has...             → Start at...
─────────────────────────────────────────────
A topic/idea only       → Stage 1 (Gather) → full pipeline
Bullet points/notes     → Stage 2 (Structure) → write → format
A markdown/text draft   → Stage 3 (Write/Rewrite) → format
A finished draft        → Stage 5 (Format as PDF)
A PDF, needs submission → Stage 6 (Submission Prep)

Always ask what they have and what they need. Don't assume full pipeline.

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Stage 1: Gather Inputs

Collect these before ANY writing:

Required:

• Author full name, email, affiliation (company name or "Independent Researcher" — both valid)
• Paper type: preprint, position paper, empirical study, literature synthesis, technical report
• Existing content: draft file, notes, or topic description
• Target venue: SSRN, arXiv, specific journal, or general

Ask about:

• Do they have citations/references already, or do we need to find them?
• Do they have figures/diagrams, or should we create them?
• Any page limits or formatting constraints from the venue?
• Any specific sections they want or don't want?

If user provides a markdown/text draft:

1. Read the entire draft before doing anything
2. Count all citations — you'll need to verify none get lost during rewriting
3. Map the section structure
4. Identify: What's the thesis? What evidence supports it? What's missing?

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Stage 2: Structure

Standard Paper Architecture

Title + Abstract (≤300 words) + Keywords (8-12)
1. Introduction         → Hook → Gap → Thesis → Contribution list
2. Background/Related   → Only what the reader needs; argue, don't survey
3-5. Core sections      → The actual contribution (varies by paper type)
6. Discussion           → Implications, limitations, future work
7. Conclusion           → Mirror intro, restate contributions concretely
References              → Hanging indent, consistent format
Appendices (optional)   → Supporting tables, proofs, supplementary data

Before Writing, Map the Argument

Do this explicitly — it prevents structural drift:

• Thesis: One sentence. The paper's central claim.
• Evidence chain: What supports it? Arrange in logical order.
• Counterarguments: What would a skeptic say? Plan where to address.
• Novel contribution: What is genuinely NEW here?
• Reader: Who is reading this, and what do they already know?

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Stage 3: Write or Rewrite

Writing Principles

1. Enter the reader's world first. Open with what the audience already knows and cares about — a concrete scenario, a surprising finding, a known problem. Then introduce your contribution. Never lead with your own framework.

2. Every section ARGUES, not just DESCRIBES. Bad section heading: "Related Work." Good: "Three Independently Studied Phenomena That Interact as a System." Each section should advance a claim, not just organize information.

3. Concrete before abstract. Give a specific example or scenario, then generalize. The reader should visualize before you name.

4. Every data point gets a "so what" sentence. Never drop a statistic bare. After every cited finding, one sentence interpreting what it means for YOUR argument. Example: "Retrieval drops to 29.8% at 32K tokens (Modarressi et al., 2025). A user asking 'remember what I said about feeling worthless?' is making exactly this kind of semantic retrieval request — and the model is likely to fail."

5. Transitions advance the argument. Kill "Additionally", "Furthermore", "Moreover" as paragraph openers. Each transition should show logical progression: "This creates a problem that..." / "That finding has a direct corollary..." / "The mechanism just described operates differently when..."

6. Introduction and conclusion bookend. Open with a scenario → return to it in the conclusion with resolution.

7. Write for the skeptical expert. Smart, busy, looking for reasons to stop reading. Front-load importance. Cut ruthlessly.

Rewriting an Existing Draft — THE RULES

These are non-negotiable when polishing someone's draft:

1. Preserve ALL citations verbatim. Never change, remove, or invent citations. After rewriting, diff-check: count refs in original vs. output. Must match.
2. Preserve ALL data points exactly. Numbers, percentages, dates — untouched.
3. Preserve the author's core argument. Improve the vehicle, don't change the destination.
4. Convert bullet/numbered lists to flowing prose in the body. Lists only in appendices.
5. Strengthen the opening — add a narrative hook if missing.
6. Add interpretive "so what" sentences after key findings.
7. Sharpen transitions between paragraphs and sections.
8. Trim redundancy. If two sentences say the same thing, keep the stronger one.
9. Check for orphan claims — assertions without supporting evidence or citations.

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Stage 4: Figures

Creating SVG Diagrams

For flowcharts, system diagrams, conceptual figures — build them as SVG:

<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 680 950"
     width="680" height="950" font-family="Georgia, 'Times New Roman', serif">
  <defs>
    <marker id="arrow" markerWidth="10" markerHeight="7" refX="9" refY="3.5" orient="auto">
      <polygon points="0 0, 10 3.5, 0 7" fill="#333"/>
    </marker>
    <filter id="shadow" x="-2%" y="-2%" width="104%" height="104%">
      <feDropShadow dx="1" dy="1" stdDeviation="2" flood-opacity="0.08"/>
    </filter>
  </defs>

  <!-- ALWAYS include a white background rect -->
  <rect width="680" height="950" fill="white"/>

  <!-- Then your diagram elements... -->
</svg>

Visual design rules:

• ALWAYS set explicit white background — SVGs default to transparent which renders as BLACK in PDFs
• Muted professional palette:
  • Pink endpoints/warnings: fill="#ffcdd2" stroke="#e57373"
  • Blue processes: fill="#c5cae9" stroke="#7986cb"
  • Green outcomes: fill="#c8e6c9" stroke="#66bb6a"
  • Neutral steps: fill="#fafafa" stroke="#aaa" or fill="#fff" stroke="#999"
• Subtle drop shadows via SVG <filter> (not CSS)
• Arrow markers (<marker>) for flow direction
• Dashed strokes (stroke-dasharray="8,5") for feedback loops
• Font: Georgia or Times New Roman, 11-13px
• Box labels: 3-6 words max. If longer, split across two <text> lines
• Rounded rects (rx="4") look more professional than sharp corners
• Add annotations for loop labels using rotated text

Converting SVG → high-res PNG for PDF embedding:

pip install cairosvg --break-system-packages -q

import cairosvg
cairosvg.svg2png(url='/home/claude/figure.svg', write_to='/home/claude/figure.png', scale=3)

Always 3× scale. This produces a crisp image even at print resolution.

Handling User-Provided Images with Dark/Transparent Backgrounds

This is a common gotcha — transparent PNGs render with BLACK backgrounds in PDFs.

Safe approach — replace only exact-black pixels (preserves dark text):

from PIL import Image
import numpy as np

img = Image.open('figure.png')
arr = np.array(img).copy()
mask = (arr[:,:,0] <= 2) & (arr[:,:,1] <= 2) & (arr[:,:,2] <= 2)
arr[mask] = [255, 255, 255]
Image.fromarray(arr).save('figure_white.png')

NEVER use:

• Flood-fill with high thresholds (destroys anti-aliased text)
• Blanket replacement of all dark pixels (destroys text strokes)
• Image.convert('RGBA') + alpha compositing if the image is already RGB with no alpha channel

The threshold ≤ 2 works because flat backgrounds use exact (0,0,0) or (1,1,1), while text anti-aliasing uses slightly higher values (3-30+).

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Stage 5: Format as PDF with Reportlab

Install Dependencies

pip install reportlab Pillow cairosvg --break-system-packages -q

Architecture: Use BaseDocTemplate, Not SimpleDocTemplate

SimpleDocTemplate doesn't support different headers per page. Use BaseDocTemplate with two PageTemplates: first (title page, no running header) and later (running header with short title + date).

from reportlab.lib.pagesizes import letter
from reportlab.lib.units import inch
from reportlab.platypus import BaseDocTemplate, PageTemplate, Frame, NextPageTemplate

PAGE_W, PAGE_H = letter
MARGIN = 1 * inch
CONTENT_W = PAGE_W - 2 * MARGIN

doc = BaseDocTemplate(OUTPUT_PATH, pagesize=letter,
    leftMargin=MARGIN, rightMargin=MARGIN,
    topMargin=0.85*inch, bottomMargin=0.75*inch,
    title=PAPER_TITLE, author=AUTHOR_NAME)

frame = Frame(doc.leftMargin, doc.bottomMargin,
    CONTENT_W, PAGE_H - doc.topMargin - doc.bottomMargin, id='main')

doc.addPageTemplates([
    PageTemplate(id='first', frames=[frame], onPage=first_page_header),
    PageTemplate(id='later', frames=[frame], onPage=later_pages_header),
])

After the title block in the story, insert: story.append(NextPageTemplate('later'))

Page Callbacks

from reportlab.lib.colors import HexColor

LIGHT_GRAY_TEXT = HexColor("#999999")
RULE_COLOR = HexColor("#c5cae9")

def first_page_header(canvas, doc):
    """First page: centered page number only."""
    canvas.saveState()
    canvas.setFont('Times-Roman', 8)
    canvas.setFillColor(LIGHT_GRAY_TEXT)
    canvas.drawCentredString(PAGE_W / 2, 0.5 * inch, str(canvas.getPageNumber()))
    canvas.restoreState()

def later_pages_header(canvas, doc):
    """Pages 2+: running header + page number."""
    canvas.saveState()
    pg = canvas.getPageNumber()
    canvas.setFont('Times-Roman', 8)
    canvas.setFillColor(LIGHT_GRAY_TEXT)
    canvas.drawCentredString(PAGE_W / 2, 0.5 * inch, str(pg))
    canvas.setFont('Times-Italic', 7.5)
    canvas.drawString(MARGIN, PAGE_H - 0.6*inch, SHORT_TITLE)
    canvas.drawRightString(PAGE_W - MARGIN, PAGE_H - 0.6*inch, f"Preprint — {DATE}")
    canvas.setStrokeColor(RULE_COLOR)
    canvas.setLineWidth(0.3)
    canvas.line(MARGIN, PAGE_H - 0.65*inch, PAGE_W - MARGIN, PAGE_H - 0.65*inch)
    canvas.restoreState()

Style Definitions

Define ALL styles up front. Key styles needed:

Style Name	Font	Size	Leading	Alignment	Purpose
PaperTitle	Times-Bold	16pt	20pt	CENTER	Main title
PrePrintNotice	Times-Italic	8pt	10pt	CENTER	"Preprint — Not Yet Peer-Reviewed"
AuthorName	Times-Bold	11pt	14pt	CENTER	Author name
AuthorAffil	Times-Roman	9.5pt	12pt	CENTER	Affiliation, email, date
AbstractHeading	Times-Bold	10pt	13pt	CENTER	"Abstract" label
AbstractBody	Times-Italic	9.5pt	13pt	JUSTIFY	Abstract text, 24pt L/R indent
Keywords	Times-Roman	9pt	12pt	JUSTIFY	Keywords line, 24pt L/R indent
SectionHeading	Times-Bold	13pt	16pt	LEFT	"1. Introduction"
SubsectionHeading	Times-Bold	11pt	14pt	LEFT	"2.1 Subsection"
SubsubHeading	Times-BoldItalic	10.5pt	13pt	LEFT	"2.1.1 Detail"
Body	Times-Roman	10pt	13.5pt	JUSTIFY	Main body text
FigCaption	Times-Roman	9pt	12pt	CENTER	Figure captions
TableNote	Times-Italic	8.5pt	11pt	LEFT	Table captions/notes
Equation	Times-Roman	10pt	14pt	CENTER	Displayed equations
Reference	Times-Roman	8.5pt	11pt	JUSTIFY	Reference entries

Reference style needs hanging indent: leftIndent=18, firstLineIndent=-18

Title Block Assembly

story = []
story.append(Spacer(1, 0.1*inch))
story.append(p("Preprint — Not Yet Peer-Reviewed", 'PrePrintNotice'))
story.append(Spacer(1, 0.15*inch))
story.append(p(PAPER_TITLE, 'PaperTitle'))
story.append(Spacer(1, 0.15*inch))
story.append(p(AUTHOR_NAME, 'AuthorName'))
story.append(p(AUTHOR_AFFIL, 'AuthorAffil'))
story.append(p(AUTHOR_EMAIL, 'AuthorAffil'))
story.append(Spacer(1, 0.05*inch))
story.append(p(PAPER_DATE, 'AuthorAffil'))
story.append(Spacer(1, 0.2*inch))
story.append(hr())  # HRFlowable
story.append(p("Abstract", 'AbstractHeading'))
# Abstract paragraphs...
story.append(p("<b>Keywords:</b> keyword1, keyword2, ...", 'Keywords'))
story.append(hr())
story.append(NextPageTemplate('later'))

Tables — THE #1 FORMATTING BUG

ALWAYS wrap cell content in Paragraph objects. Raw strings WILL overflow their columns and overlap adjacent cells. This is guaranteed to happen with any cell longer than ~15 chars.

from reportlab.platypus import Table, TableStyle, Paragraph
from reportlab.lib.styles import ParagraphStyle
from reportlab.lib.enums import TA_LEFT
from reportlab.lib.colors import HexColor, white

cell_style = ParagraphStyle('Cell', fontName='Times-Roman',
    fontSize=9, leading=12, alignment=TA_LEFT)
header_style = ParagraphStyle('CellH', fontName='Times-Bold',
    fontSize=9, leading=12, alignment=TA_LEFT)

# Build data as Paragraph objects
data = [
    [Paragraph(f'<b>{h}</b>', header_style) for h in headers],
]
for row in rows:
    data.append([Paragraph(str(cell), cell_style) for cell in row])

table = Table(data, colWidths=col_widths, repeatRows=1)
table.setStyle(TableStyle([
    ('BACKGROUND', (0,0), (-1,0), HexColor("#e8eaf6")),   # header bg
    ('VALIGN', (0,0), (-1,-1), 'TOP'),
    ('GRID', (0,0), (-1,-1), 0.4, HexColor("#c5cae9")),
    ('TOPPADDING', (0,0), (-1,-1), 5),
    ('BOTTOMPADDING', (0,0), (-1,-1), 5),
    ('LEFTPADDING', (0,0), (-1,-1), 6),
    ('RIGHTPADDING', (0,0), (-1,-1), 6),
    ('ROWBACKGROUNDS', (0,1), (-1,-1), [white, HexColor("#fafafa")]),
]))

Column width strategy: Distribute CONTENT_W (6.5 inches) across columns. Give wider columns to text-heavy cells. Example for a 3-column table with model names, descriptions, and numbers: [1.5*inch, 3.5*inch, 1.5*inch].

Equations

reportlab CANNOT render LaTeX. Use these approaches:

# Inline: use <sub> and <super> tags
Paragraph("R(n) ≈ R<sub>0</sub> · e<super>−α·n/n<sub>eff</sub></super>", eq_style)

# Unicode math symbols that work in Times-Roman:
# ≈ ≤ ≥ ∝ ∞ α β γ δ ε θ λ μ σ · × ± ∑ √ ∂ ∫ → ← ↔ ≠ ∈
# Em dash: \u2014   En dash: \u2013   Minus: \u2212   Multiply: \u00d7

If the paper needs complex multi-line equations (integrals, matrices, aligned systems), tell the user: "For proper equation typesetting, I recommend converting to LaTeX and compiling with pdflatex. reportlab is better for papers with minimal math."

Figures

from PIL import Image as PILImage
from reportlab.platypus import Image, Spacer

img = PILImage.open(img_path)
w_px, h_px = img.size
aspect = h_px / w_px

fig_w = 4.5 * inch
fig_h = fig_w * aspect
if fig_h > 7.0 * inch:        # cap to fit on one page
    fig_h = 7.0 * inch
    fig_w = fig_h / aspect

story.append(Spacer(1, 6))
story.append(Image(img_path, width=fig_w, height=fig_h, hAlign='CENTER'))
story.append(Paragraph("<b>Figure 1.</b> Caption text here.", fig_caption_style))

Horizontal Rules

from reportlab.platypus import HRFlowable

def hr():
    return HRFlowable(width="100%", thickness=0.5, color=RULE_COLOR,
                      spaceBefore=8, spaceAfter=8)

Building and Delivering

doc.build(story)
print(f"PDF generated: {OUTPUT_PATH}")

# Copy to outputs and present
import shutil
shutil.copy(OUTPUT_PATH, '/mnt/user-data/outputs/paper-title.pdf')
# Then use present_files tool

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Stage 6: Submission Preparation

SSRN (Zero Friction — Recommended for Independent Researchers)

Required for submission form:

1. Title — must match PDF title exactly
2. Authors — name, email, affiliation. No institutional email required.
3. Abstract — plain text only. Strip all markdown formatting (**bold** → bold text, etc.)
4. Keywords — 8-12 terms, comma-separated
5. PDF upload — the formatted paper
6. eJournal classifications — browse the tree and checkbox relevant ones
7. Paper type — select "Working Paper" for preprints
8. Availability — set to "Publicly Available" (CRITICAL: private papers don't appear in SSRN search or eJournal distributions)

eJournal selection strategy: Select MULTIPLE classifications for cross-disciplinary visibility:

• One PRIMARY journal where the core contribution lives
• 2-3 SECONDARY journals based on who else should read this
• Think about the READER, not just the TOPIC

Example SSRN networks and journals:

• CompSciRN: Artificial Intelligence, Human-Computer Interaction, Cybersecurity
• PsychRN: Cognitive Psychology, Developmental Psychology
• LawRN: Science & Technology Law, Regulation of AI
• HealthRN: Mental Health, Public Health

JEL codes (optional but helps discoverability): Common ones for AI papers: O33 (Tech Change), L86 (Info/Internet Services), K32 (Environmental/Health/Safety Law), I31 (Wellbeing)

Processing time: Officially ≤3 business days. Realistically 2-5 days. ~30% of submissions get desk-rejected (not for quality — formatting/metadata issues). Clean PDF + complete metadata = faster approval.

SSRN retains no copyright. Authors keep full rights. Non-exclusive revocable license only.

arXiv

Key requirements:

• Endorsement required for first-time submitters in most categories
• Find endorsers among researchers you cite — cold-email with your SSRN preprint link
• Publish on SSRN first, pursue arXiv endorsement in parallel
• Submit PDF or LaTeX source (LaTeX preferred for proper math rendering)

Relevant categories for AI/ML papers:

• cs.AI — Artificial Intelligence
• cs.CL — Computation and Language (NLP/LLM papers)
• cs.HC — Human-Computer Interaction
• cs.CY — Computers and Society (safety, ethics, policy)
• cs.LG — Machine Learning

Strategy for independent researchers: Publish SSRN first → get a DOI and download traction → use this to approach arXiv endorsers. Having a live, citable preprint makes endorsement requests more credible than cold-emailing with an unpublished manuscript.

AI Disclosure Statement

All major publishers (Elsevier, Springer Nature, Wiley, Taylor & Francis, SAGE) permit AI tools for editorial refinement. AI cannot be listed as author. Recommended wording:

"The author used [Tool Name] ([Company]) for editorial refinement and prose revision of this manuscript. All research synthesis, analysis, argumentation, and conclusions are the author's own."

Place in an "Acknowledgments" section before References.

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Quality Checklist — Run Before Delivery

[ ] Title on PDF matches submission metadata exactly
[ ] Citation count: original draft refs == final PDF refs (diff-check if rewritten)
[ ] All data points (numbers, %, dates) unchanged from source
[ ] Tables: open PDF and visually inspect every table for text overflow
[ ] Figures: white backgrounds, captions present, readable at print size
[ ] Page numbers on every page
[ ] Running headers on pages 2+
[ ] References: consistent format, hanging indent, no broken entries
[ ] Abstract ≤ 300 words
[ ] Keywords present (8-12 terms)
[ ] No orphan headings (heading at page bottom, body on next page)
[ ] PDF metadata: title + author set in document properties
[ ] No "Amy AI", product names, or internal project refs (if paper is venue-agnostic)

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File Locations

What	Where
Working directory	/home/claude/
User uploads	/mnt/user-data/uploads/
Final deliverables	/mnt/user-data/outputs/
Skill scripts	Bundled in scripts/ alongside this SKILL.md

Always present_files the final PDF + any SVG figures.

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Common Pitfalls (Learned the Hard Way)

1. Table text overflow — The #1 bug. ALWAYS use Paragraph() in cells. Never raw strings.
2. Transparent/dark PNG backgrounds — Render as black in PDF. Replace exact-black pixels (≤2,2,2) with white. Don't flood-fill aggressively — it destroys text.
3. SVG without explicit white background — Transparent SVG backgrounds also render black in PDF. Always include <rect fill="white"/> as the first element.
4. Lost citations during rewrite — Count references before and after. Must match exactly.
5. Unicode subscripts in reportlab — Characters like ₀₁₂ render as BLACK BOXES in Times-Roman. Use <sub> and <super> XML tags in Paragraph objects instead.
6. Figure too tall for page — Always cap height at ~7 inches and maintain aspect ratio.
7. SimpleDocTemplate — Can't do different headers per page. Use BaseDocTemplate with PageTemplate(id='first') and PageTemplate(id='later').
8. Equations — reportlab can't do LaTeX math. Use Unicode + sub/super tags for simple equations. For complex math, recommend the LaTeX pipeline instead.
9. SSRN abstract formatting — Plain text only. Strip all markdown/HTML before pasting.
10. Orphan headings — Check final PDF visually. Use KeepTogether() or KeepWithNext() if a heading lands at the bottom of a page with its body on the next.