Use this skill whenever the user provides a scientific paper PDF and asks for a group-meeting literature report, journal-club slides, 文献汇报PPT, 组会PPT, paper presentation, article walkthrough, or to explain a paper with PowerPoint. The skill first reconstructs the paper's scientific logic, then builds author/background sections, chooses an evidence-driven slide outline, crops only main-text figure panels from the PDF, and creates an academic PPT with 10–30 slides including title and conclusion/dis
SkillScore73Maintained
Automatic
◆Research pack
Last verified 8/14/2026
What it changes
Passed 13 of 18 test cases with the skill, and 9 of 18 without it.
Without skill50%
With skill73%
Checks it passed that the model alone missed
Sets Chinese as the default language for presentation text.
Excludes Extended Data figures from slide image panel crops.
Excludes supplementary figures from slide image panel inclusions.
and 4 more in the full report
7 fixed9 passed either way4 still failing2 broke
Pass-rate lift
+23 pp
Tokens
+181%
Agent turns
0%
Response time
-8%
Model gemini-3.6-flashMeasured 8/14/2026v116 of 22 cases passed with skill · 18 comparable
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 7
Prompt
I need a journal club PPT generated for `plant_genetics.pdf`. I haven't specified a language preference. What should be the default language for the presentation text and speaker notes?
What was checked, without and with the skill
Checked
Without skill
With skill
Sets Chinese as the default language for presentation text.
Missed
Passed
case-13 · gemini-3.6-flash · 8/14/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md235 linessingle file
Journal Club PPT — scientific paper → academic group-meeting slides
This skill turns a scientific paper PDF into a claim-driven PPT for lab meeting, journal club, or 文献汇报. The deck must explain the paper's logic, not merely summarize sections or paste screenshots.
Default language: Chinese, with key technical terms preserved in English when helpful. Use another language only if the user asks.
Hard constraints
Read the argument before designing slides. Do not create a slide outline until you can state the paper's central question, knowledge gap, hypothesis, experimental/computational strategy, evidence chain, and final claim.
Include author introduction. At minimum: first author(s), corresponding/senior author(s), affiliations, research direction inferred from the paper, and why this team is relevant to the work. Use external sources only for text facts when available and appropriate; never import external images.
Include background introduction. Explain the field context as: broad problem → unresolved gap → why this paper matters → what question the paper asks.
Confirm a PPT outline before filling slides unless the user asked for a fully automatic final deck. The outline must be evidence-driven and include planned figure panels.
Use only figures from the PDF's main text/body. Do not use web images, stock images, AI-generated images, author photos, journal logos, graphical abstracts, supplementary figures, Extended Data, or figures from other papers unless the user explicitly overrides this constraint.
Select subfigures by logic. Crop and use only panels that support the narrative. Do not paste whole pages or dump every panel from every figure.
End with evaluation. The deck must discuss strengths, limitations, unanswered questions, and possible follow-up experiments/analyses.
Slide count is a hard quality gate. The final PPT must contain at least 10 and at most 30 slides, including title and conclusion/discussion slides. Use 10–12 slides for short papers, 14–18 for standard research articles, 19–24 for complex multi-omics or method-heavy papers, and 25–30 only when the paper genuinely needs it.
Wisp-specific workflow
Use Wisp's strengths rather than treating the PDF as static screenshots:
Use PDF text extraction / pdf-explore-style helpers when available to read abstract, introduction, results, methods, discussion, captions, author information, and references.
Use vision on rendered PDF pages to inspect figures, layouts, panel labels, legends, axes, scale bars, and multi-panel structure.
Use Python to render PDF pages at high DPI, crop selected figure panels, name crops consistently, and build a figure ledger.
Use Wisp's persistent Python runtime to keep intermediate objects: paper outline, figure inventory, selected crop paths, and slide plan.
Use MCP/web/PubMed/ORCID/lab pages only for textual author/background verification when helpful. External visual assets remain forbidden.
Phase 1 — Paper logic reconstruction
Before touching the PPT, produce a compact internal paper_logic brief:
Bibliographic identity: title, journal/preprint server, year, DOI if present, article type, field.
Central problem: what biological/clinical/computational problem is being addressed?
Knowledge gap: what prior uncertainty or technical bottleneck motivates the work?
Main hypothesis or central claim: one sentence.
System and data: organism/cell type/cohort/dataset/model, sample scale, intervention or comparison.