Agent skill

Xiaobei Skill Academic Paper To Ppt

by xiao24bei in xiao24bei/xiaobei-skill

A skill your agent uses for 小北在读研 / XiaoBei academic paper-to-PPT workflows: generate thesis-defense or project-report decks from uploaded papers, literature, reports, technical documents, and…

Apache-2.0Auto-check passedDocuments & Office

Install Xiaobei Skill Academic Paper To Ppt

skills CLI
$ npx skills add xiao24bei/xiaobei-skill --skill xiaobei-skill-academic-paper-to-ppt -a claude-code

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

GitHub CLI
$ gh skill install xiao24bei/xiaobei-skill xiaobei-skill-academic-paper-to-ppt --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/xiao24bei/xiaobei-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/xiaobei-skill-academic-paper-to-ppt .claude/skills/xiaobei-skill-academic-paper-to-ppt && 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
xiaobei-skill-academic-paper-to-ppt
GitHub stars
586
Token cost
~4.4k tokens
SKILL.md length
2,306 words
Files
9 (incl. scripts, references, assets)
Skills in repo
3
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses for 小北在读研 / XiaoBei academic paper-to-PPT workflows: generate thesis-defense or project-report decks from uploaded papers, literature, reports, technical documents, and…

  • Works in 3 steps: Document Parsing and Markdown PPT Outline → Visual Style Generation → Full PPT Generation
  • 小北在读研 / XiaoBei academic paper-to-PPT workflows: generate thesis-defense
  • SKILL.md covers Core Behavior, Visual Style Priority, Stage 1: Document Parsing and… and Stage 2: Visual Style Generation, plus 2 more sections
  • Runs Python scripts from its folder; calls python

What it does

Xiaobei Skill Academic Paper To Ppt is an agent skill from xiao24bei/xiaobei-skill. Use for 小北在读研 / XiaoBei academic paper-to-PPT workflows: generate thesis-defense or project-report decks from uploaded papers, literature, reports, technical documents, and optional PPTX visual templates. Produces a source-grounded outline, an imagegen visual scheme, one complete bitmap per slide, an imagegen provenance manifest, and an image-only PPTX. Do not use when the user needs editable slide text or native editable charts.

Its SKILL.md is about 4.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including scripts, reference files and assets (for example `agents/openai.yaml`, `references/outline-template.md` and `references/visual-style-spec.md`).

It sits in Documents & Office, covering PowerPoint presentations, Image generation and Slides and decks. It works with Microsoft PowerPoint. The repository describes itself as: 小北在读研开源 Codex Skills 合集:Image to VBA、Academic Paper to PPT 等 AI + 科研工作流。 The licence is Apache-2.0.

When your agent uses it

  • 小北在读研 / XiaoBei academic paper-to-PPT workflows: generate thesis-defense
  • Project-report decks from uploaded papers
  • Technical documents
  • Optional PPTX visual templates

Example prompts

  • “/xiaobei-skill-academic-paper-to-ppt”

Requirements

  • Python 3

Workflow steps

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

  1. Document Parsing and Markdown PPT Outline
  2. Visual Style Generation
  3. Full PPT Generation

What it can do on your machine

Read from SKILL.md and the folder at commit 1b9fe1d. 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

Xiaobei Skill Academic Paper To Ppt loads about 4.4k tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 117 tokens; SKILL.md has 2,306 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~117
When it runs · the whole SKILL.md, loaded when a task matches
~4.4k
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 xiao24bei/xiaobei-skill at commit 1b9fe1d, republished under its Apache-2.0 licence (© xiao24bei). 2,306 words, ~4,359 tokens.

Download SKILL.mdSave it as .claude/skills/xiaobei-skill-academic-paper-to-ppt/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
xiaobei-skill-academic-paper-to-ppt
description
Use for 小北在读研 / XiaoBei academic paper-to-PPT workflows: generate thesis-defense or project-report decks from uploaded papers, literature, reports, technical documents, and optional PPTX visual templates. Produces a source-grounded outline, an imagegen visual scheme, one complete bitmap per slide, an imagegen provenance manifest, and an image-only PPTX. Do not use when the user needs editable slide text or native editable charts.

小北在读研 · Academic Paper to PPT

Core Behavior

When this skill is triggered, execute the workflow in this exact order:

  1. Analyze the uploaded source document
  2. If the user provides a PPT/PPTX template, analyze the template's visual style and page structure
  3. Create ppt_outline.md
  4. Generate one complete visual preview scheme based strictly on ppt_outline.md using $imagegen, then immediately display that image inline in the chat
  5. Generate every slide page as a full-page image using $imagegen; immediately display each completed page image inline in the chat before waiting for the whole deck
  6. Create imagegen_manifest.json recording the selected $imagegen generation method and every generated asset
  7. Assemble the generated slide images into a .pptx file where each image fills one complete slide
  8. Validate that required output files exist and match the imagegen manifest

Never skip stages unless the user explicitly requests only one stage.

Strict image-only contract:

  • A final slide image means the whole finished PPT page is baked into one bitmap, including Chinese title, body text, labels, diagrams, tables, and page visual design.
  • The final .pptx must contain one full-slide image per slide and no editable visible text boxes.
  • Background-only slide images are invalid. Do not generate text-free templates, blank layout backgrounds, placeholder panels, blank areas for later text, or editable-text overlays.
  • Prompts for final slide images must not include phrases such as text-free, no readable words, background template, blank areas, editable Chinese text, text to be added later, or equivalent wording.
  • If $imagegen cannot generate complete page images with the required text, retry with shorter full-page prompts or switch to the other allowed $imagegen mode. If complete page images still cannot be produced, stop at image generation and report the failed stage. Do not assemble a fallback PPT.

Chat-visible image contract:

  • Apply this contract to both built-in image_gen and CLI generation. Changing the image backend must not make generated images invisible to the user.
  • Stage 2 produces one visual-scheme image. As soon as it exists, show it in the chat with local-image Markdown using its absolute path, for example ![PPT 视觉方案](/absolute/path/visual_preview.png).
  • During Stage 3, show each completed slide image individually as soon as it is available. Label it briefly as 第 X/N 页, then render that page with its absolute local path. A text-only progress message such as “已生成 6 页” does not satisfy this requirement.
  • Do not wait until all pages finish before showing them. Do not replace per-page visibility with only a contact sheet, folder path, file count, or final PPTX link.
  • In CLI mode, run generation in a monitorable process and poll for newly completed files. After each poll, display every newly completed slide_XX.png individually before continuing to wait. Limited concurrency is allowed, but the chat must expose each completed page rather than hiding the batch until completion.
  • In built-in mode, the tool result may render automatically; still add the brief 第 X/N 页 label and preserve/copy the selected image into the workspace for manifesting and PPT assembly.
  • After all pages are visible, optionally add a complete contact sheet for convenient overview, then provide the final PPTX.

Required image-generation dependency:

  • The visual preview and full-slide generation stages must load and follow the installed $imagegen skill.
  • Use built-in image_gen first when the user does not specify a generation mode.
  • Use CLI mode when the user explicitly requests it or when a real built-in attempt is unavailable or fails, but only through the runtime, endpoint, and credential mechanism authorized in the current user's $imagegen workflow.
  • Do not hardcode a maintainer's workstation path, account name, private endpoint, or credential source. Never display, log, or persist credentials.
  • In CLI mode, write generated image files under outputs/imagegen/ and record method imagegen_cli_fallback in imagegen_manifest.json.
  • Use a Python environment with the packages in requirements.txt for PowerPoint assembly and validation.
  • Do not replace $imagegen with textual visual suggestions, SVG/vector/code-native drawings, HTML/CSS/canvas mockups, manual diagrams, or a generic image-generation placeholder.
  • When built-in mode is used, copy the selected generated files from $CODEX_HOME/generated_images/... or the workspace into outputs/imagegen/generated_slides/, and record method built_in_image_gen in imagegen_manifest.json.
  • If an explicitly selected CLI attempt fails to generate real files, try built-in image_gen unless the user asked for CLI only. If the default built-in attempt fails, use CLI only when the current environment authorizes and supports that fallback.
  • If neither CLI fallback nor built-in $imagegen can generate real image files, stop at that stage and report the incomplete stage. Do not assemble a PPT from non-imagegen substitutes.
  • A visual preview generated with $imagegen is not enough. Every final slide image recorded in imagegen_manifest.json must also be generated with $imagegen.
  • If CLI fallback fails only for long Chinese prompts, that is not permission to generate text-free backgrounds. First shorten each prompt while preserving the requirement that the final image contains the slide title and key visible text. Then try built-in image_gen if needed. Stop rather than replacing text with editable PowerPoint objects.

Do not expand the full Markdown outline in the chat. Do not output long analysis. Do not invent information that is not in the uploaded document. Do not cite or use external sources unless the user explicitly asks for external supplementation.

Visual Style Priority

Use this priority order for the deck's visual style:

  1. Explicit style instructions from the user in the current request.
  2. A user-provided PPT/PPTX template, when available.
  3. The default academic visual preset in references/visual-style-spec.md.

If a template is provided, treat it as a visual and structural reference only:

  • Extract its slide size, color palette, typography, title hierarchy, section-page design, content-page design, chart/table treatment, spacing, and visual motifs.
  • Prefer the template's cover, directory, section divider, body, chart/table, summary, and closing-page patterns when generating the visual preview and full-slide images.
  • Use the template's topic distribution to decide the outline's page grouping and content density, but do not copy its placeholder text as source content.
  • Do not force the generated PPT to use every page from the template. Compress or expand the template's page families into a source-appropriate academic or project-report narrative.
  • Do not add market analysis, team information, intellectual property, or implementation-condition pages unless those topics are present in the uploaded source document or explicitly requested by the user.
  • If the template conflicts with source-document fidelity, source-document fidelity wins.

If no template is provided, use the default academic preset from references/visual-style-spec.md.

Stage 1: Document Parsing and Markdown PPT Outline

Input:

  • A user-uploaded literature paper, academic article, research report, technical document, PDF, DOCX, Markdown file, or plain text document.
  • Optional: a user-provided PPT/PPTX template used only for visual style, page-family structure, and outline density guidance.

Output:

  • Create or update a file named exactly:

ppt_outline.md

The file must contain a complete Markdown PPT outline of about 12-18 pages by default. Use about 10 pages only when the source document is short or the user explicitly asks for a compact deck.

Strict rules:

  1. All content must be strictly based on the uploaded document.
  2. Do not fabricate information.
  3. If information is not explicitly stated in the original document, write: 原文未明确说明.
  4. Do not use external sources.
  5. Keep the structure suitable for academic presentation, course presentation, thesis sharing, or project introduction.
  6. Each slide must include:
    • 页面标题
    • 页面类型
    • 核心内容
    • 内容展开
    • 建议展示方式
    • 视觉生成要点
    • 原文依据
  7. Each slide must contain enough detail to support later PPT generation, especially enough visual and content cues for $imagegen.
  8. Prioritize extracting important data, experiments, methods, charts, formulas, models, algorithms, case studies, results, limitations, and conclusion evidence from the original document.
  9. If the uploaded document is long, reorganize the content into a presentation logic instead of copying the original table of contents.
  10. If a PPT template is provided, use its section rhythm and page families to guide page distribution and content density, while keeping all factual content grounded in the source document.
  11. The output must be usable by AI PPT tools, Codex, or visual design tools.

Use the structure in references/outline-template.md.

After Stage 1, reply briefly only:

  • 已生成 ppt_outline.md
  • 文件中包含约 12-18 页 PPT 大纲
  • 内容严格基于上传文档

Do not paste the full outline into chat.

Show full SKILL.md (971 more words)Show less

Stage 2: Visual Style Generation

Input:

  • ppt_outline.md

Output:

  • One full visual preview image or multi-page thumbnail contact sheet representing the complete PPT visual scheme, saved as outputs/imagegen/visual_preview.png for either generation mode.

Must use $imagegen.

Execution rules:

  1. Load and follow $imagegen before generating the visual preview.
  2. Create outputs/imagegen/ before generation. Use built-in image_gen first unless the user explicitly selected CLI.
  3. In built-in mode, generate the preview, copy the selected result to outputs/imagegen/visual_preview.png, and immediately display that image inline in the chat.
  4. If the built-in tool is unavailable or a real call fails to return a valid image, follow the installed $imagegen skill's authorized CLI fallback, save the output to outputs/imagegen/visual_preview.png, and immediately display that image inline in the chat.
  5. If the user explicitly selected CLI, start with the CLI path above. If it fails and the request was not CLI-only, try built-in mode.
  6. Treat the preview as a generated bitmap asset, not as text, Markdown, code, SVG, or HTML.

Visual requirements:

  • Follow the Visual Style Priority above.
  • If a PPT/PPTX template is provided, reproduce its overall visual language in a new deck: palette, typography feel, section-page composition, content-page rhythm, spacing, title treatment, chart/table treatment, and recurring visual motifs.
  • If no template is provided, use the default academic visual preset in references/visual-style-spec.md.
  • Keep the result formal, professional, academic, clean, stable, and suitable for thesis defense, science and engineering papers, or project reporting.
  • Use a unified layout system.
  • Keep content dense but readable.
  • Maintain clear hierarchy.
  • Maintain consistent chart, process diagram, table, and framework diagram style.
  • Cover pages including:
    • 封面
    • 目录
    • 背景
    • 方法
    • 实验
    • 结果
    • 总结
    • 展望
    • 致谢

Important:

  • Do not output text suggestions.
  • Do not output analysis.
  • Do not output code.
  • Do not output Markdown descriptions as a substitute for the generated visual.
  • After the bitmap exists, use Markdown image embedding only to make that visual result visible in the chat.
  • The result should look like a full PPT page preview board / multi-page thumbnail grid.

Stage 3: Full PPT Generation

Input:

  • ppt_outline.md
  • Visual scheme from Stage 2 generated by $imagegen
  • Any generated slide images

Output:

  • Full-slide images in outputs/imagegen/generated_slides/ for either generation mode
  • imagegen_manifest.json
  • A complete PowerPoint file, for example:

defense_presentation.pptx

Generation rules:

  1. Generate every slide as a full-page 16:9 image.
    • Every final bitmap must already contain the slide's visible Chinese title, core content, labels, and layout.
    • The PPT assembly step may not add or edit visible slide text.
  2. Use $imagegen and the selected method to generate each slide page: one built-in image_gen call per page in default built-in mode, or a monitorable scripts/image_gen.py generate-batch process in CLI mode.
  3. Each generated image must represent one complete PPT slide.
  4. The final PPT must use generated images as full-slide backgrounds/pages.
  5. Do not rely on editable text boxes.
  6. Do not worry about text editability.
  7. Do not worry about minor OCR-like issues in generated image text unless the user specifically asks for text-perfect slides.
  8. Insert each generated image into a PowerPoint slide so that it fully covers the slide canvas.
  9. Maintain the same formal academic visual style across all pages.
  10. The PPT should follow the page structure in ppt_outline.md and the Visual Style Priority above.
  11. Do not create slide images through HTML/CSS screenshots, SVG export, canvas drawing, manually composed placeholders, or any route that bypasses $imagegen.
  12. If $imagegen cannot generate the slide images, stop and report the incomplete stage instead of assembling a PPT from non-imagegen placeholders.
  13. Generate one final page image per slide in ppt_outline.md; the number of image files recorded in imagegen_manifest.json must equal the number of outline slides.
  14. Name images with zero-padded slide numbers, such as slide_01.png, slide_02.png, and so on.
  15. Do not accept or manifest final prompts that ask for background-only or text-free pages. Any final prompt containing text-free, no readable words, background template, blank areas, editable text, editable Chinese text, or text to be added later must be treated as a failed workflow.
  16. Immediately after each page image becomes available, display that individual image in the chat with 第 X/N 页 and an absolute-path Markdown image. Do not wait for the full deck, and do not substitute only a contact sheet.

For CLI slide generation, create outputs/imagegen/prompts.jsonl with one JSON object per slide prompt, then use the installed $imagegen skill's supported batch command and credential mechanism. Write results to outputs/imagegen/generated_slides/, keep the process monitorable, poll for new slide_XX.png files, and display each new page inline before continuing to wait. Do not copy a maintainer-specific CLI path or credential configuration into the project.

Create imagegen_manifest.json after generating the preview and slide images. It must include:

json
{
  "generation_method": "imagegen_cli_fallback",
  "visual_preview": "outputs/imagegen/visual_preview.png",
  "image_output_dir": "outputs/imagegen/generated_slides",
  "model": "gpt-image-2",
  "quality": "medium",
  "size": "1536x864",
  "slides": [
    {
      "slide": 1,
      "file": "outputs/imagegen/generated_slides/slide_01.png",
      "method": "imagegen_cli_fallback",
      "prompt": "full slide prompt used for this page"
    }
  ]
}

Use scripts/build_ppt_from_images.py to assemble the images into a .pptx.

The script should:

  • Accept an input directory containing slide images
  • Sort images by slide number
  • Create a 16:9 PowerPoint deck
  • Add each image as a full-slide image
  • Save the output as defense_presentation.pptx
  • Preserve slide order
  • Avoid margins or cropping unless needed to fill the slide

Example command:

bash
python scripts/build_ppt_from_images.py \
  --image-dir ./outputs/imagegen/generated_slides \
  --output ./defense_presentation.pptx

Use --image-dir ./outputs/imagegen/generated_slides for both generation modes.

Validate final outputs with:

bash
python scripts/validate_outputs.py --base-dir .

The validation must fail if:

  • The visual preview file recorded in imagegen_manifest.json is missing.
  • imagegen_manifest.json is missing.
  • Any manifest entry does not use an allowed $imagegen method: built_in_image_gen or imagegen_cli_fallback.
  • The number of slide images does not equal the number of slides in ppt_outline.md.
  • Any expected slide_XX.* image recorded in imagegen_manifest.json is missing.
  • Any manifest prompt describes a text-free/background/template page rather than a finished slide.
  • The final PPTX contains editable visible text, multiple picture objects on a slide, or anything other than one full-slide image per slide.

Final Response Rules

After completing the full workflow, reply briefly only with:

  • 已生成 ppt_outline.md
  • 已通过 imagegen 来源校验,并注明使用 built_in_image_gen 或 imagegen_cli_fallback
  • 已生成整套 PPT 页面视觉图
  • 已生成 defense_presentation.pptx
  • PPT 使用生成图片作为完整页面
  • 直接展示整套联系表(若已生成),并提供最终 PPTX 的可点击链接

Do not output:

  • Full outline content
  • Long explanation
  • Internal reasoning
  • Irrelevant suggestions

© xiao24bei, 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 8 other files (scripts, references, assets) in skills/xiaobei-skill-academic-paper-to-ppt of xiao24bei/xiaobei-skill.

  • SKILL.md
  • agents/openai.yaml
  • assets/academic-paper-to-ppt.svg
  • references/outline-template.md
  • references/visual-style-spec.md
  • references/workflow-rules.md
  • requirements.txt
  • scripts/build_ppt_from_images.py
  • scripts/validate_outputs.py

Open the folder on GitHubat commit 1b9fe1d

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Questions about Xiaobei Skill Academic Paper To Ppt

What does Xiaobei Skill Academic Paper To Ppt do?

A skill your agent uses for 小北在读研 / XiaoBei academic paper-to-PPT workflows: generate thesis-defense or project-report decks from uploaded papers, literature, reports, technical documents, and…. Xiaobei Skill Academic Paper To Ppt is an agent skill from xiao24bei/xiaobei-skill. Use for 小北在读研 / XiaoBei academic paper-to-PPT workflows: generate thesis-defense or project-report decks from uploaded papers, literature, reports, technical documents, and optional PPTX visual templates.

When should I use Xiaobei Skill Academic Paper To Ppt?

Xiaobei Skill Academic Paper To Ppt fits situations like: 小北在读研 / XiaoBei academic paper-to-PPT workflows: generate thesis-defense; project-report decks from uploaded papers; technical documents; optional PPTX visual templates.

How do I install Xiaobei Skill Academic Paper To Ppt in Claude Code?

Run `npx skills add xiao24bei/xiaobei-skill --skill xiaobei-skill-academic-paper-to-ppt -a claude-code`. Or copy the skill folder (skills/xiaobei-skill-academic-paper-to-ppt in xiao24bei/xiaobei-skill) into .claude/skills/xiaobei-skill-academic-paper-to-ppt in your project. Claude Code loads it when a task matches its description.

How do I install Xiaobei Skill Academic Paper To Ppt in Codex?

Run `npx skills add xiao24bei/xiaobei-skill --skill xiaobei-skill-academic-paper-to-ppt -a codex`. Or copy the skill folder (skills/xiaobei-skill-academic-paper-to-ppt in xiao24bei/xiaobei-skill) into .agents/skills/xiaobei-skill-academic-paper-to-ppt in your project. Codex loads it when a task matches its description.

Can I use Xiaobei Skill Academic Paper To Ppt 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 xiao24bei/xiaobei-skill --skill xiaobei-skill-academic-paper-to-ppt -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/xiaobei-skill-academic-paper-to-ppt, .gemini/skills/xiaobei-skill-academic-paper-to-ppt, .github/skills/xiaobei-skill-academic-paper-to-ppt and .opencode/skills/xiaobei-skill-academic-paper-to-ppt in your project.

What does Xiaobei Skill Academic Paper To Ppt need to run?

Going by SKILL.md and its folder, Xiaobei Skill Academic Paper To Ppt needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Xiaobei Skill Academic Paper To Ppt 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 Xiaobei Skill Academic Paper To Ppt 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 Xiaobei Skill Academic Paper To Ppt use?

Xiaobei Skill Academic Paper To Ppt is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Xiaobei Skill Academic Paper To Ppt use?

About 4.4k tokens (SKILL.md is roughly 17k 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 6.1k tokens, read only when the agent opens those files.

What are the alternatives to Xiaobei Skill Academic Paper To Ppt?

Skills that share tags, products or a category with Xiaobei Skill Academic Paper To Ppt: Nano Banana (EvoScientist/EvoSkills, 478 stars), Image-Based PPT Deck Generator (ningzimu/codex-ppt-skill, 6.6k stars), Gpt Image2 Ppt (JuneYaooo/gpt-image2-ppt-skills, 1.3k stars) and Ppt Image2 Editable Rebuild (wwe-dog/ppt-image2-editable-rebuild, 200 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Xiaobei Skill Academic Paper To Ppt?

xiao24bei (a GitHub user) maintains it in xiao24bei/xiaobei-skill, which has 586 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on August 27, 2026.

Source: xiao24bei/xiaobei-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.