Agent skill

Research Presentation

by Yila-AI in Yila-AI/awesome-research-skills

Create, revise, and quality-check source-grounded research presentations from papers, research notes, data, or manuscripts.

Apache-2.0Auto-check passedDocuments & Office

Install Research Presentation

skills CLI
$ npx skills add Yila-AI/awesome-research-skills --skill research-presentation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Yila-AI/awesome-research-skills research-presentation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Yila-AI/awesome-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research-presentation .claude/skills/research-presentation && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
research-presentation
GitHub stars
133
Token cost
~2.5k tokens
SKILL.md length
1,196 words
Files
11 (incl. scripts, references)
Skills in repo
3
Repo updated
First seen
Licence
Apache-2.0

At a glance

Create, revise, and quality-check source-grounded research presentations from papers, research notes, data, or manuscripts.

  • Works in 6 steps: Inventory and extract → Choose the talk contract → Build the ghost deck → …
  • Paper-to-slides
  • SKILL.md covers Route the request, Non-negotiable contracts, Paper-to-Slides workflow and Output contract, plus 1 more section
  • Runs Python scripts from its folder; calls python

What it does

Research Presentation is an agent skill from Yila-AI/awesome-research-skills. Create, revise, and quality-check source-grounded research presentations from papers, research notes, data, or manuscripts. Use for paper-to-slides, research presentation, scientific presentation, journal club, lab meeting, conference talk, seminar, thesis defense, dissertation defense, PPT/PPTX, 学术PPT, 科研汇报, 论文汇报, 组会汇报, 答辩PPT, and related slide-deck tasks.

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/layouts.md` and `references/narrative-planning.md`).

It sits in Documents & Office, covering Slides and decks, Essays and academic help and PowerPoint presentations. It works with Microsoft PowerPoint. The repository describes itself as: Open-source Agent Skills for planning, drafting, revising, and polishing SCI/SSCI papers—while preserving evidence, citations, and claim strength. The licence is Apache-2.0.

When your agent uses it

  • Paper-to-slides
  • Research presentation
  • Scientific presentation
  • Conference talk

Example prompts

  • “/research-presentation”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Inventory and extract
  2. Choose the talk contract
  3. Build the ghost deck
  4. Select the visual system and layouts
  5. Build the editable deck
  6. Render and audit

What it can do on your machine

Read from SKILL.md and the folder at commit 0609e85. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Research Presentation loads about 2.5k tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 95 tokens; SKILL.md has 1,196 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~10k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from Yila-AI/awesome-research-skills at commit 0609e85, republished under its Apache-2.0 licence (© Yila-AI). 1,196 words, ~2,540 tokens.

Download SKILL.mdSave it as .claude/skills/research-presentation/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.
name
research-presentation
description
Create, revise, and quality-check source-grounded research presentations from papers, research notes, data, or manuscripts. Use for paper-to-slides, research presentation, scientific presentation, journal club, lab meeting, conference talk, seminar, thesis defense, dissertation defense, PPT/PPTX, 学术PPT, 科研汇报, 论文汇报, 组会汇报, 答辩PPT, and related slide-deck tasks.
license
Apache-2.0; see NOTICE for third-party attributions

Research Presentation

Turn a paper or research corpus into a presentation that an audience can follow, verify, and discuss. The core promise is paper to slides without losing the evidence: preserve source meaning, choose a cumulative narrative, make figures legible, keep claims bounded, and deliver an editable deck with notes and a rendered QA trail.

This Skill owns the workflow from source inspection through final slide QA. It does not replace the author's scientific judgment, invent results, or silently strengthen a claim.

Route the request

Choose the narrowest route that satisfies the request:

Input / requestRoute
One or more PDFs, papers, or manuscriptsFull paper-to-slides workflow below; read references/paper-extraction.md first
Research notes, tables, figures, or a protocolEvidence-led presentation workflow; mark unsupported fields instead of filling them
Existing PPTX to reviseInspect the source deck, preserve its visual contract when requested, then run the same render/QA loop
A presentation brief with no source documentSkip extraction, but still create a claim ledger, narrative outline, source/asset notes, and visual QA
“Make it prettier” or “change the style”Diagnose the current deck before editing; preserve scientific content and citations

Before building, infer one sentence:

By the end, [audience] should [understand/decide/discuss] because [central evidence-backed takeaway].

Ask at most one blocking question when a missing choice would change the deck materially (for example, defense versus journal club). Otherwise make a conservative assumption and state it in the run log.

Non-negotiable contracts

  1. Evidence first. Read the source before planning the slide sequence. Never use a figure, number, table cell, citation, mechanism, or limitation that is not traceable to the supplied source or an explicitly cited external source.
  2. Bounded claims. Preserve population, setting, time frame, comparison, uncertainty, and claim strength. Distinguish author conclusions from presenter interpretation and label the latter.
  3. One narrative job per slide. Use takeaway titles that answer the question raised by the previous slide; do not build an inventory of paper sections.
  4. One visual anchor per content slide. Use a readable original figure/table, a meaningful metric, or a simple source-faithful diagram. Avoid decorative diagrams and generic stock imagery.
  5. Readable before complete. Start body text at 12 pt (11 pt floor), titles at 28–32 pt, cover title at 40–56 pt, and keep sub-11-pt characters below 10% of the deck. Add a slide or cut copy instead of shrinking type.
  6. Source anchors everywhere. Every content slide carries a visible anchor such as Fig. 2, Table 1, §3.2, or p. 7; speaker notes include a [Sources] block for claims and assets.
  7. No silent raster-only handoff. Prefer native/editable text, tables, shapes, and charts. Use source figures as images when needed, but preserve their aspect ratio and provide the original asset or source map.
  8. Render before delivery. Render every final slide, inspect the full-size pages, run overflow/coverage/font checks, and fix unintended overlap, clipping, wrapping, stretched figures, and empty placeholders.

Paper-to-Slides workflow

1. Inventory and extract

Record the input files, target audience, language, venue, duration, expected slide count, output format, and available tools. Extract the entire paper text in one pass before section planning. Then work through the paper in order and write an evidence ledger containing:

  • research question, gap, hypotheses, and contributions as the authors state them;
  • study design, data, sample/population, baselines, parameters, and analysis steps;
  • every meaningful quantity with unit, comparison, direction, and source pointer;
  • every figure and table: what it shows, how to read it, and which panels matter;
  • limitations, threats to validity, undefined terms, and out-of-scope claims;
  • claims that are author judgments versus presenter synthesis.

For a PDF, use the host PDF tools or PyMuPDF/PDF extraction available in the environment. Use a lossless figure/table extraction tool when available; otherwise record the fallback and crop from rendered pages without changing the data. Read references/paper-extraction.md for the full ledger contract.

2. Choose the talk contract

Use the venue to set the arc:

  • Journal club / lab meeting: question → gap → model/method → strongest evidence → limitations → discussion questions.
  • Conference talk: problem → contribution → method → result → implication, with fewer side details.
  • Thesis defense: problem → research program → methods → contribution-by-contribution evidence → limitations → future work.
  • Seminar / teaching: motivating example → concept → worked evidence → application → recap.

Default to 12 content-bearing slides unless the user specifies another length. A 12-minute talk usually needs 10–14 slides; add pages when the evidence cannot remain readable.

Show full SKILL.md (484 more words)Show less
3. Build the ghost deck

Write one line per slide before designing:

text
S01 Cover — what is the paper and why should this audience care?
S02 Question — what existing assumption is being challenged?
S03 Mechanism — what system or design tests the question?
S04–S08 Evidence — what does each result establish, and what does it not establish?
S09 Validation — which checks support the interpretation?
S10 Boundary — where does the evidence stop?
S11 Synthesis — what are the three defensible takeaways?
S12 Discussion — which next question is worth asking?

For each slide specify: narrative title, one-sentence takeaway, evidence anchor, visual anchor, speaker-note purpose, and what the audience should do next. Delete repeated summaries and generic “Methods / Results” titles unless they are paired with a claim.

4. Select the visual system and layouts

Read references/themes.md before choosing colours and references/layouts.md before arranging the first content slide. Choose one theme for the entire deck; choose layouts from the content's shape, not from a fixed template sequence.

Use the theme's page frame and tokens consistently. Prefer two-column claim/evidence, annotated figure, comparison, metric-grid, process-steps, architecture, table, and closing layouts. Use sparse cover, divider, stat-highlight, quote, and closing slides sparingly. Vary the silhouette every two or three slides, but keep margins, title placement, footer anchors, and typography stable.

Do not invent an institutional logo, affiliation, dataset, chart, or missing figure. If an image is unavailable, build only a clearly labelled structural reconstruction from relationships stated in the source.

5. Build the editable deck

Use the host presentation workflow and keep the implementation reproducible. In Codex environments follow the active presentation toolchain; in other Agent hosts use their native slide writer. Keep generated source code, extracted evidence, figure manifest, and build log beside the deck. Use source figures at their native aspect ratio. Put short citations in visible footers and full [Sources] blocks in notes.

Speaker notes should contain, in order:

  1. the spoken transition into the slide;
  2. the one result or idea to emphasize;
  3. caveats or interpretation boundaries;
  4. a [Sources] block with paper/figure/table/page or URL references.
6. Render and audit

Render the final PPTX to PDF and one PNG per slide. Run the bundled scripts when their dependencies are available:

bash
python scripts/render_slides.py deck.pptx --outdir rendered
python scripts/audit_pptx.py deck.pptx --rendered rendered --report qa-report.json

Inspect every slide at full size, not only a contact sheet. Repair:

  • overflow, clipping, accidental overlap, and title wrapping;
  • body text below the floor or excessive annotation text;
  • figures stretched, blurred, or too small to read;
  • missing source anchors, notes, page numbers, or unresolved placeholders;
  • slides below the visual-coverage floor or with large unexplained dead bands;
  • repeated card grids that make the talk feel mechanically templated.

Re-render after every substantive repair. Do not claim a deck is clean from an audit that did not inspect the latest rendered files.

Output contract

Return a primary editable .pptx whenever the host supports it, plus:

text
deck.pptx
deck.pdf
rendered/slide-01.png ...
evidence-ledger.md or extraction.md
deck-outline.md
speaker-notes.md (when notes cannot be embedded)
source-map.md
qa-report.json or qa-report.md
run-log.md

If a required capability is unavailable, deliver the safe artifacts that are possible and state exactly what was not produced. Never present a screenshot-only fallback as an editable PPTX.

Bundled resources

  • references/themes.md — six academic themes, tokens, frames, and signature compositions.
  • references/layouts.md — theme-neutral layout recipes and density guidance.
  • references/paper-extraction.md — extraction, figure, table, quantity, and source-anchor contract.
  • references/narrative-planning.md — audience, arc, ghost-deck, and speaker-note guidance.
  • references/qa-contract.md — render, overflow, readability, coverage, and provenance checks.
  • references/rendering.md — cross-platform fonts, PDF/PNG rendering, and editable-output boundaries.
  • scripts/render_slides.py — thin wrapper around LibreOffice/Poppler when installed.
  • scripts/audit_pptx.py — deterministic structural and rendered-file checks.

© Yila-AI, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 10 other files (scripts, references) in skills/research-presentation of Yila-AI/awesome-research-skills.

  • SKILL.md
  • NOTICE
  • agents/openai.yaml
  • references/layouts.md
  • references/narrative-planning.md
  • references/paper-extraction.md
  • references/qa-contract.md
  • references/rendering.md
  • references/themes.md
  • scripts/audit_pptx.py
  • scripts/render_slides.py

Open the folder on GitHubat commit 0609e85

Compare with similar skills

Research Presentation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Research Presentation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Research Presentation this skillYila-AI/awesome-research-skills133—~2.5kAutomated safety check: PassApache-2.0
EasyslidesRimagination/easyslides138—~12kAutomated safety check: PassMIT
Ppt Visual ReplicaZhiweiWei-NAMI/PPT-Visual-Replica135—~1.8kAutomated safety check: PassMIT
Nature Paper2pptjing1312/nature-figure-skill171—~9.5kAutomated safety check: PassMIT
Nature Paper2pptCitrus-bit/Anaxa1201 repos~5.9kAutomated safety check: PassMIT
Nature Paper2pptTai609/NebulaMat100—~1.3kAutomated safety check: PassCustom licence

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Questions about Research Presentation

What does Research Presentation do?

Create, revise, and quality-check source-grounded research presentations from papers, research notes, data, or manuscripts. Research Presentation is an agent skill from Yila-AI/awesome-research-skills. Create, revise, and quality-check source-grounded research presentations from papers, research notes, data, or manuscripts.

When should I use Research Presentation?

Research Presentation fits situations like: paper-to-slides; research presentation; scientific presentation; conference talk.

How do I install Research Presentation in Claude Code?

Run `npx skills add Yila-AI/awesome-research-skills --skill research-presentation -a claude-code`. Or copy the skill folder (skills/research-presentation in Yila-AI/awesome-research-skills) into .claude/skills/research-presentation in your project. Claude Code loads it when a task matches its description.

How do I install Research Presentation in Codex?

Run `npx skills add Yila-AI/awesome-research-skills --skill research-presentation -a codex`. Or copy the skill folder (skills/research-presentation in Yila-AI/awesome-research-skills) into .agents/skills/research-presentation in your project. Codex loads it when a task matches its description.

Can I use Research Presentation in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Yila-AI/awesome-research-skills --skill research-presentation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research-presentation, .gemini/skills/research-presentation, .github/skills/research-presentation and .opencode/skills/research-presentation in your project.

What does Research Presentation need to run?

Going by SKILL.md and its folder, Research Presentation needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Research Presentation access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Research Presentation safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Research Presentation use?

Research Presentation is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Research Presentation use?

About 2.5k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.8k tokens, read only when the agent opens those files.

What are the alternatives to Research Presentation?

Skills that share tags, products or a category with Research Presentation: Easyslides (Rimagination/easyslides, 138 stars), Ppt Visual Replica (ZhiweiWei-NAMI/PPT-Visual-Replica, 135 stars), Nature Paper2ppt (jing1312/nature-figure-skill, 171 stars) and Nature Paper2ppt (Citrus-bit/Anaxa, 120 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Research Presentation?

Yila-AI (a GitHub organization) maintains it in Yila-AI/awesome-research-skills, which has 133 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on September 4, 2026.

Source: Yila-AI/awesome-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.