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Agent Skill · 研究检索

presenting-conference-talks(发表会议演讲)

presenting-conference-talks 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

presenting-conference-talks 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 61,288。

总安装 353周安装 15GitHub Stars 7,591下载 124核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:presenting-conference-talks(发表会议演讲)
来源仓库:https://github.com/zechenzhangagi/ai-research-skills
仓库路径:skills/presenting-conference-talks
安装命令:
npx skills add https://github.com/zechenzhangagi/ai-research-skills --skill presenting-conference-talks
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/zechenzhangagi/ai-research-skills --skill presenting-conference-talks

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

presenting-conference-talks 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。适用于研究检索类任务,可结合来源仓库、安装命令和原始 README 继续核验具体用法。

通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限范围和维护状态。安装前建议确认是否会触发联网、命令执行或文件读写等操作。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/presenting-conference-talks

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/zechenzhangagi/ai-research-skills --skill pres…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

presenting-conference-talks 怎么安装?

在终端执行 npx skills add https://github.com/zechenzhangagi/ai-research-skills --skill presenting-con…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

presenting-conference-talks 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

presenting-conference-talks 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

presenting-conference-talks 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

presenting-conference-talks 用的人多吗?

公开数据是累计安装 353 次,近一周安装 15 次,下载 124 次,GitHub 7,591 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

presenting-conference-talks 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 来源仓库有 7,591 星,维护活跃度相对可查。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
presenting-conference-talks

发表会议演讲 · 本页

3537,591只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Presenting Conference Talks: From Paper to Slides

Generate conference presentation slides from a compiled research paper. Produces both Beamer LaTeX PDF (for polished typesetting) and editable PPTX (for last-minute adjustments), with speaker notes and an optional talk script.

When to Use This Skill

ScenarioUse This SkillUse Other Skills Instead
Preparing oral/spotlight/poster-talk slides✅
Generating Beamer PDF + PPTX from paper✅
Speaker notes and talk script✅
Writing the paper itselfml-paper-writing
Structuring a systems papersystems-paper-writing
Creating publication-quality plotsacademic-plotting

Attribution: This skill's structure draws inspiration from the ARIS paper-slides skill (570 lines, supporting poster/spotlight/oral/invited with Beamer+PPTX). This is an independent implementation for the AI-Research-SKILLs ecosystem.


Talk Types and Slide Counts

Talk TypeDurationSlidesContent Depth
poster-talk3–5 min5–8Problem + key result only
spotlight5–8 min8–12Problem + approach + key results
oral15–20 min15–22Full story with evaluation highlights
invited30–45 min25–40Deep dive with context and demos

Rule of thumb: ~1 slide per minute for oral, ~1.5 slides per minute for spotlight.


Slide Structure Templates

Poster-Talk (5–8 slides)

Slide 1: Title + Authors + Affiliation
Slide 2: Problem — Why this matters (1 motivating figure)
Slide 3: Key Insight — One-sentence thesis
Slide 4: Approach Overview — Architecture diagram
Slide 5: Main Result — Headline numbers (1 figure)
Slide 6: Takeaway + QR code to paper/code

Spotlight (8–12 slides)

Slide 1:  Title + Authors
Slide 2:  Problem Statement — Concrete, quantified
Slide 3:  Motivation — Why existing solutions fall short
Slide 4:  Key Insight — Thesis statement
Slide 5:  System Overview — Architecture diagram
Slide 6:  Design Highlight 1 — Core mechanism
Slide 7:  Design Highlight 2 — Key innovation
Slide 8:  Evaluation Setup — Baselines and workloads (brief)
Slide 9:  Main Results — Headline performance figure
Slide 10: Ablation / Breakdown — What contributes most
Slide 11: Summary + Contributions
Slide 12: Thank You + Links

Oral (15–22 slides)

Slide 1:  Title + Authors + Venue
Slide 2:  Outline (optional — "roadmap" slide)
Slide 3:  Problem Context — Domain importance
Slide 4:  Problem Statement — Specific challenge
Slide 5:  Motivation — Gaps in existing systems
Slide 6:  Key Insight — Thesis
Slide 7:  System Overview — Architecture diagram
Slide 8:  Design Component 1 — Detailed walkthrough
Slide 9:  Design Component 2 — Detailed walkthrough
Slide 10: Design Component 3 — Detailed walkthrough
Slide 11: Design Alternatives — Why not other approaches
Slide 12: Implementation — Key engineering highlights
Slide 13: Evaluation Setup — Testbed, baselines, metrics
Slide 14: End-to-End Results — Main performance
Slide 15: Result Deep Dive — Breakdown or per-workload
Slide 16: Ablation Study — Component contributions
Slide 17: Scalability — Scaling behavior
Slide 18: Demo Slide (systems talks) — Screenshot or recording
Slide 19: Related Work — Positioning (brief)
Slide 20: Summary — Contributions restated
Slide 21: Future Work — Open questions
Slide 22: Thank You + Paper Link + QR Code

Invited Talk (25–40 slides)

Extends the oral structure with:

  • Additional context slides (field overview, historical progression)
  • Multiple demo/walkthrough slides
  • Deeper evaluation analysis
  • Broader implications and future directions
  • Q&A preparation slides (hidden, for backup)

Systems Talk Specifics

Systems conference talks have unique requirements compared to ML talks:

Demo Slide

  • Include a live demo or pre-recorded screencast of the system in action
  • Always have a recorded backup — live demos fail at the worst times
  • Show the system under realistic load, not toy examples

Architecture Walkthrough

  • Animate the architecture diagram: highlight components as you explain them
  • Use Beamer \only<N> or \onslide<N> for progressive reveal
  • Walk through a concrete request end-to-end through the system

Evaluation Highlights

  • Select 2–3 strongest figures from the paper
  • Annotate figures on slides (arrows, circles highlighting key points)
  • State the takeaway before showing the figure ("Our system is 2x faster — here's the data")

Speaker Notes Guidelines

Structure per Slide

[Timing: X minutes]
[Key point to convey]
[Transition sentence to next slide]

Mike Dahlin's Layered Approach

Apply "Say what you're going to say, say it, then say what you said" at three levels:

  1. Talk level: Outline slide → body → summary slide
  2. Section level: Section heading → content slides → section takeaway
  3. Slide level: Headline statement → supporting evidence → transition

Timing Guidelines

  • Poster-talk: 30–60 sec per slide
  • Spotlight: 30–45 sec per slide
  • Oral: 45–90 sec per slide
  • Invited: 60–120 sec per slide

Output Formats

Beamer LaTeX → PDF

Advantages: Professional typesetting, math support, version control friendly.

\documentclass[aspectratio=169]{beamer}
\usetheme{metropolis}  % Clean, modern theme
\usepackage{appendixnumberbeamer}

\title{Your Paper Title}
\subtitle{Venue Year}
\author{Author 1 \and Author 2}
\institute{Institution}
\date{}

\begin{document}
\maketitle

\begin{frame}{Problem}
  \begin{itemize}
    \item Key problem statement
    \item Concrete motivation with numbers
  \end{itemize}
  \note{Speaker note: Start with the big picture...}
\end{frame}

% ... more frames ...
\end{document}

python-pptx → Editable PPTX

Advantages: Easy last-minute edits, corporate template compatibility, animations.

from pptx import Presentation
from pptx.util import Inches, Pt
from pptx.enum.text import PP_ALIGN

prs = Presentation()
prs.slide_width = Inches(13.333)  # 16:9
prs.slide_height = Inches(7.5)

# Title slide
slide = prs.slides.add_slide(prs.slide_layouts[0])
slide.shapes.title.text = "Your Paper Title"
slide.placeholders[1].text = "Author 1, Author 2\nVenue Year"

# Content slide
slide = prs.slides.add_slide(prs.slide_layouts[1])
slide.shapes.title.text = "Problem Statement"
body = slide.placeholders[1]
body.text = "Key point 1\nKey point 2"

# Add speaker notes
notes_slide = slide.notes_slide
notes_slide.notes_text_frame.text = "Speaker note: explain the motivation..."

prs.save("talk.pptx")

Color Scheme Suggestions

These are aesthetic suggestions, not official venue requirements. Adjust freely.
Venue TypePrimaryAccentBackground
USENIX (OSDI/NSDI)Dark Blue (#003366)Red (#CC0000)White
ACM (SOSP/ASPLOS)ACM Blue (#0071BC)Dark Gray (#333333)White
NeurIPSPurple (#7B2D8E)Gold (#F0AD00)White
ICMLTeal (#008080)Orange (#FF6600)White
GenericDark Gray (#333333)Blue (#0066CC)White

Workflow

Step 1: Content Extraction

- Read the compiled paper (PDF or LaTeX source)
- Identify: thesis, contributions, architecture figure, key eval figures
- Note the talk type and duration

Step 2: Outline Generation

- Select the appropriate slide structure template (above)
- Map paper sections to slide groups
- Allocate time per slide group

Step 3: Slide-by-Slide Generation

- Generate Beamer source slide by slide
- Add speaker notes per slide
- Include figures from paper (copy to slides/ directory)
- Generate python-pptx script for PPTX version

Step 4: Review and Polish

- Check total slide count matches talk duration
- Verify all figures are readable at presentation resolution
- Run Beamer compilation: latexmk -pdf slides.tex
- Run PPTX generation: python3 generate_slides.py
- Review speaker notes for timing and transitions

Quick Checklist

  • Slide count appropriate for talk type/duration
  • Title slide has correct authors, affiliations, venue
  • Architecture diagram included and clearly labeled
  • Key eval figures annotated with takeaways
  • Speaker notes include timing markers
  • Transitions between sections are smooth
  • Demo slide has recorded backup
  • Thank-you slide includes paper link / QR code
  • Font sizes ≥ 24pt for readability from back of room
  • Consistent color scheme throughout

Common Issues and Solutions

IssueSolution
Too many slides for time limitCut details, keep one figure per point
Slides feel like paper paragraphsUse bullet points (≤ 6 per slide), let figures tell the story
Audience lost during design sectionAdd architecture walkthrough with progressive reveal
Evaluation slides overwhelmingShow 2–3 strongest figures, put rest in backup slides
Speaker notes too longTarget 3–4 sentences per slide, focus on transitions
Beamer compilation failsCheck figure paths, use \graphicspath{{figures/}}
PPTX looks different from BeamerAdjust python-pptx font sizes and margins manually

References

平台分布

Codex

36.08%
按下载量换算45

Claude

26.66%
按下载量换算33

Cursor

17.45%
按下载量换算22

Gemini CLI

9.83%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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