presentation
Use when the user wants to create presentation slides, a slide deck, a technical talk, or a conference talk for a topic or library — built on Slidev. Interviews the user, deep-researches and code-grounds the topic FIRST, applies presentation-craft best practices, generates a Slid
供给资产档案
编程与开发 Agent
代码审查、仓库分析、测试、CI、GitHub、DevOps 与开发工作流 Skill。
场景
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
适配 Agent
Claude Code + Browser agents + CLI
适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。
安装
就绪
npx skills add AlemTuzlak/skills --skill presentation
维护状态
新鲜
距上次推送 3 天
风险
高风险
许可证不清晰
GitHub 质量
39
57/100 质量 · 65/100 信任
覆盖标签
审查说明
许可证不清晰 · Permission surface may require sandboxing
Agent 采用评分卡
一眼查看信任、审计与安装准备度
这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。
质量
有潜力有用的候选项,但采用前应与替代方案比较。
信任
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
审计
高风险对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。
OpenAgentSkill 信任评分 v5
仅限沙盒
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
39 个 GitHub Stars
仓库活跃度
39 个 Star,0 个 Fork
维护状态
距上次推送 3 天
许可证
未知
安装
npx skills add AlemTuzlak/skills --skill presentation
安装安全性
标准软件包或运行时安装路径
权限范围
shell or command execution, filesystem or document access
Agent 结果
暂未有 Agent 结果数据
文档
README/SKILL.md 上下文充分
风险摘要
生产前审查
- Repository license is unknown; no LICENSE file or license declaration detected in the skill. This creates legal ambiguity for reuse.
- This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
- 许可证不清晰
- Low GitHub adoption signal
安装准备度
安装路径可用
- 安装路径可用
- 仓库证据可用
- 许可证不清晰
- 暂无 Agent 验证结果证据
Agent 可读元数据
这个 Skill 的机器可读决策数据。
使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。
适用任务
- 演示文稿生成 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
- Choose the right deck format
适用 Agent
安装决策
- 命令
- npx skills add AlemTuzlak/skills --skill presentation
- 策略
- 阻止
- 人工审查
- 是
信任与风险
- 信任
- 57/100
- 审计
- 71/100
- 风险级别
- 高风险
结果闭环
- 端点
- /api/agent/outcome
- 事件 ID
- resolve
- 结果
- 5
不适用场景
- 需要厂商支持 SLA 的团队
- production agents without a repository review
- Low GitHub adoption signal
- Repository license is unknown; no LICENSE file or license declaration detected in the skill. This creates legal ambiguity for reuse.
- Audit risk risky exceeds max_risk=medium
替代 Skill
Last30days Skill
53.5K Stars
npx skills add mvanhorn/last30days-skill -g
替代 Skill
Academic Research Skills
38.4K Stars
npx skills add Imbad0202/academic-research-skills
替代 Skill
GPT Researcher
28.0K Stars
npx skills add assafelovic/gpt-researcher
替代 Skill
DeepResearch
19.8K Stars
npx skills add Alibaba-NLP/DeepResearch
Agent 安全 v2
39/100 · 避免自动安装
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
高
Shell 或命令执行
Skill 元数据引用了终端、CLI、Shell、子进程或命令执行工作流。
中
Browser automation
Skill may drive a browser or interact with web pages.
中
网络访问
Skill 可能访问远程页面、API、仓库或外部服务。
中
文件系统访问
Skill 可能读取或写入项目文件、文档、生成产物或本地工作区状态。
- Audit risk risky exceeds max_risk=medium
- 高风险权限提示:Shell 或命令执行
- 许可证不清晰
安装目标
在你的 Agent 工作流中安装此 Skill
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install alemtuzlak-presentationAgent 解析计划
让 Agent 在安装前验证匹配度。
Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。
打开 JSON
/api/agent/resolve?task=Use%20presentation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve 文本
/api/agent/resolve?task=Use%20presentation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
安装交接
/api/skills/alemtuzlak-presentation/install
Agent 应检查
- 从 Resolve API 检查任务匹配与替代方案。
- 检查审计评分、信任评分和安全策略警告。
- 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。
复制提示词
Task: Use presentation in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20presentation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/alemtuzlak-presentation/install
Install command: npx skills add AlemTuzlak/skills --skill presentation
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent 交接
把安装路径交给 Agent,而不是再给一个目录页。
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
安装交接
/api/skills/alemtuzlak-presentation/install
LLM 文本格式
/api/skills/alemtuzlak-presentation/install?format=text
寻找替代方案
/api/skills/search?q=presentation&limit=3
Agent 提示词
Use presentation for this task. Review https://www.openagentskill.com/api/skills/alemtuzlak-presentation/install, then install with: npx skills add AlemTuzlak/skills --skill presentationRegistry 元数据
用于自动选择 Skill 的 Agent 可读档案。
本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。
Agent 决策面板
Fallback candidate for Presentation generation
先用此 Skill 做原型验证,并保留备选方案。
栈中角色
备选候选
主要匹配
演示文稿生成
信任标签
先做原型验证
安装路径
命令已就绪
适用场景
- 演示文稿生成 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
证据
- 仓库近期活跃
- 已提供安装命令或 GitHub 仓库
- 57/100 质量档案
- 5 个 OpenAgentSkill 交互事件
先审查
- Low GitHub adoption signal
- Repository license is unknown; no LICENSE file or license declaration detected in the skill. This creates legal ambiguity for reuse.
实施路径
- 1在沙盒 Agent 中安装它,并端到端完成一次演示文稿生成任务。
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
信任档案
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub 采用度
检查39 个 GitHub Stars
Star/Fork 活跃度
检查39 个 Star,0 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过距上次推送 3 天
许可证清晰度
检查未知
积极信号
- AI 审查已通过
- 安装路径可用
- 仓库证据可用
- 近期维护的仓库
- 安装命令未发现明显高风险模式
- 结果闭环已就绪,但需要首次真实 Agent 运行
安装前审查
- Repository license is unknown; no LICENSE file or license declaration detected in the skill. This creates legal ambiguity for reuse.
- This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
- 许可证不清晰
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- GitHub adoption: 39 GitHub stars
- Stars/forks activity: 39 stars, 0 forks; issue activity unavailable in current metadata
- License clarity: Unknown
- Permission surface: shell or command execution, filesystem or document access
- 暂未有真实 Agent 结果报告
- 无人值守安装前需要人工审查
建议操作
Choose a stronger alternative or inspect the source manually before any install attempt.
质量档案
有潜力 适用于 Agent 工作流的候选
有用的候选项,但采用前应与替代方案比较。
工作流匹配
在这些场景使用此 Skill
Create decks
Presentation generation
I need my agent to create a polished presentation deck from a brief, document, URL, or research notes, preferably with editable PPTX or HTML slides.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
工作流匹配
加入完整工作流
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
替代方案短名单
安装前对比
可能适合该任务的相近 Skill。
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GPT Researcher
Run autonomous deep research over web and local sources
DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
概览
--- name: presentation description: Use when the user wants to create presentation slides, a slide deck, a technical talk, or a conference talk for a topic or library — built on Slidev. Interviews the user, deep-researches and code-grounds the topic FIRST, applies presentation-craft best practices, generates a Slidev deck, self-verifies it in a headless browser, and ends with the dev server running and the deck open in the browser with zero manual steps. Triggers on "make a presentation", "make slides", "build a deck", "presentation about X", "technical talk", "conference talk", "slidev deck", "build slides for X", "present <library>". ---
# presentation — technical slide decks that don't suck
A **director** layer on top of Slidev. This skill owns the **what** (researched, grounded content) and the **how-well** (presentation craft). It **delegates Slidev syntax mechanics** to the official `slidev` skill — it depends on that skill and never duplicates its syntax reference.
You are not "filling a template." You are interviewing a speaker, researching their topic until you actually understand it, and engineering a deck that an audience will follow and remember.
## When to use
- The user wants to build/create a presentation, slide deck, or talk. - "Make slides / a deck / a presentation about X", "technical talk", "conference talk", "build slides for <library>", "present <topic>". - Revising/extending an existing Slidev deck (revision mode).
## When to skip
- The user only wants raw Slidev *syntax* help → use the `slidev` skill directly. - A one-off non-deck answer (a definition, a snippet) → just answer.
## Dependency: the official `slidev` skill
This skill produces Slidev markup but does **not** carry Slidev's syntax reference. Before generating any `slides.md`:
1. Ensure the official skill is available. If not, install it: `npx skills add slidevjs/slidev` 2. For **any** syntax question (layouts, magic-move, click animations, components, export flags), consult the `slidev` skill / its reference files, or `https://sli.dev/llms.txt` as a fallback. Do not hand-roll syntax you can look up — getting it wrong breaks rendering.
`references/slidev-cheatsheet.md` carries only the **generator gotchas** and the delegation pointers — the things that bite an automated author. It is not a syntax copy.
## Non-negotiables (read before working)
These are what the user is paying for. Do not skip them because a deck "looks fine."
1. **Research + ground BEFORE the interview.** The moment you have a topic, run Gate 1 (`references/research-grounding.md`). Never build slides from model memory. 2. **Build from the brief, not from memory.** Every factual claim on a slide traces to the research/grounding brief. 3. **Flag weak claims; don't assert them.** If something is commonly repeated but poorly supported, skip it or caveat it. Never present a myth as fact. 4. **Assertion-evidence + lean text.** Slide titles are complete-sentence claims; the body is visual evidence, not a bullet dump. Keep on-slide text to a glance — aim ≤ ~20 words of body per slide; full sentences and detail belong in the speaker notes, not on the slide. (`references/presentation-craft.md` "Text budget") 5. **One idea per slide; ~1–2 min/slide.** Split rather than cram. 6. **Fill the canvas.** Every slide uses all available space with balanced proportions — never top-anchor content above a dead band, and never float a small element in a big empty region. Center/distribute the content group and size visuals to fill their region; distribute whitespace, don't dump it. (`references/presentation-craft.md`; concrete Slidev recipe in `references/slidev-cheatsheet.md`) 7. **Code discipline.** ≤5–7 lines visible at once, large, progressive reveal, dim irrelevant lines; prefer a diagram over a wall of code. (`references/technical-craft.md`) 8. **Generate every legitimately generatable asset** (code images, diagrams, charts). **Placeholder only the un-generatable** (real photos, product screenshots, demo videos) with a specific swap instruction. **Never fabricate evidence** — no fake screenshots, invented data, or hotlinked images. (`references/assets.md`) 9. **Storyboard approval before writing slides** (Gate 2). 10. **Self-verify before handing over** (Gate 3, `references/verification.md`). 11. **Finish live, zero manual steps.** End with the dev server running in the background and the deck open at `http://localhost:3030`. The user never runs a command.
## Workflow
``` Step 0 Detect topic (and whether it's a specific library/tool) Gate 1 Research & Ground → references/research-grounding.md (BEFORE interview) Step 2 Interview → references/interview.md (adaptive, one Q at a time) Step 3 Deeper ground → only if internals/architecture-focused or long-form Gate 2 Storyboard approval → per-slide plan; user approves before any slides.md Step 5 Scaffold + theme → pnpm create slidev; visual theme selection in browser Step 6 Generate slides.md → craft refs + slidev skill + assets.md; respect gotchas Gate 3 Self-verify loop → references/verification.md (screenshot → fix → repeat) Step 8 Finish live → bg dev server + open browser; then offer export ```
### Step 0 — Detect Identify the topic. Decide whether it is *also* a specific library/tool (repo path / GitHub URL / package name / docs URL / names a concrete library / user is in a code repo) — this turns on Gate 1 Track B in addition to Track A.
### Gate 1 — Research & Ground (FIRST, before talking) Load `references/research-grounding.md`. Run **Track A (topic research, always)** and, when applicable, **Track B (code grounding)**. Light pass now (enough for a smart interview); deeper pass later if the talk warrants. Produce the **research + grounding brief**.
### Step 2 — Interview Load `references/interview.md`. Ask the canonical questions adaptively, one at a time, skipping anything the brief already answers.
### Step 3 — Deeper grounding (conditional) If the chosen areas are internals/architecture-focused or the talk is long-form, deepen the brief at the per-area depth the user set.
### Gate 2 — Storyboard approval Present a per-slide storyboard: assertion title · content/asset · layout · speaker-note intent · place in the narrative arc · running time budget vs stated duration. Get approval/edits before writing any `slides.md`.
### Step 5 — Scaffold + visual theme selection Scaffold the Slidev project at the user's output location. Select a theme **visually in the browser** — show 2–4 themes matching brand/tone (gallery previews or a quick render); user picks. Then apply brand colors/fonts/logo. See the branding-mode routing in `references/interview.md`.
### Step 6 — Generate `slides.md` Apply the craft layer (`presentation-craft.md` + `technical-craft.md`). Consult the `slidev` skill for all syntax. Produce/insert assets per `references/assets.md`. Respect the gotchas in `references/slidev-cheatsheet.md`.
### Gate 3 — Self-verify loop Load `references/verification.md`. Screenshot every slide in a headless browser, detect overflow / clipped code / contrast / empty / overstuffed, fix, re-check until clean.
### Step 8 — Finish live Leave the dev server running in the background and open the deck in the browser. Then offer the export targets the user chose (PDF/PPTX/SPA).
### Revision mode Pointed at an existing Slidev project, skip scaffolding and extend / restyle / tighten using the same craft layer + self-verify loop.
## Reference files
| File | Load when | |------|-----------| | `references/research-grounding.md` | Gate 1 — researching + grounding the topic | | `references/interview.md` | Step 2 — running the interview; branding routing; slide-count math | | `references/presentation-craft.md` | Step 6 — general craft rules + myth-flags | | `references/technical-craft.md` | Step 6 — code/diagrams/demos/audience for technical talks | | `references/slidev-cheatsheet.md` | Steps 5–6 — generator gotchas + delegation to the `slidev` skill | | `references/assets.md` | Step 6 — generating assets + placeholder convention | | `references/verification.md` | Gate 3 — self-verify checks + auto-fix loop |
## Asset helper
`assets/render-asset.mjs` renders standalone code (Shiki) and diagram (Mermaid) PNGs into a deck's `public/`. Usage in `references/assets.md`. Install once with `npm --prefix <skill>/assets install` and `npx playwright install chromium`.
技术详情
- 版本
- 1.0.0
- 许可证
- Unknown
- 最近更新
- 2026年8月19日
- 发布时间
- 2026年8月19日
决策摘要
备选候选
仓库近期活跃
Agent 验证证据
Agent 验证证据
来自解析、审查、安装和一次小范围运行后的结果报告。
- 成功率
- —
- 近期失败
- —
- 结果
- 0
- 输出质量
- —
- 失败
- 0
- 不相关
- 0
- 安装次数
- 0
- 风险拦截
- 0
- 需要配置
- 0
- 生产环境
- 0
暂时没有 Agent 结果数据。首次 Agent 执行可以通过 /api/agent/outcome 报告成功、需要设置、风险拦截、失败或不相关。
增长闭环
分享工具包
为 presentation 准备的场景化草稿,可手动发布到 X。
A practical pick for the next deck: presentation: Use when the user wants to create presentation slides, a slide deck, a technical talk, or a conference talk for a topic or... 39 stars https://www.openagentskill.com/skills/alemtuzlak-presentation?ref=x
可选:带安装命令的回复
Listing + install path for presentation: https://www.openagentskill.com/skills/alemtuzlak-presentation?ref=x Install: npx skills add AlemTuzlak/skills --skill presentation
收录来源
Registry 收录
此列表来自公开来源,维护者认领获批前不会标记为官方。
- 创作者
- AlemTuzlak
- 收录方
- OpenAgentSkill 社区索引
归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。
认领此 Skill所有者认领
认领此 Skill 页面
这条 Registry 收录 列表归属于 AlemTuzlak,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。
创作者外链工具包
将证据徽章加入你的 README
在开发者评估仓库的位置展示规范页面、当前信任与审计信号,以及真实的 Agent 验证证据。
[](https://www.openagentskill.com/skills/alemtuzlak-presentation)
[](https://www.openagentskill.com/skills/alemtuzlak-presentation)
[](https://www.openagentskill.com/skills/alemtuzlak-presentation/audit)
[](https://www.openagentskill.com/skills/alemtuzlak-presentation)作者
AlemTuzlak
@alemtuzlak
健康信号
- GitHub Stars
- 39
- 质量评分
- 34/100
- 最近 GitHub 推送
- 2026年8月19日
- 框架提示
- 未知
- OpenAgentSkill 浏览量
- 5
- 复制安装命令
- 0
- 跳转点击
- 0
社区信号
告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。
信任与安全
Do not auto-install
- GitHub 采用度39 个 GitHub Stars检查
- Star/Fork 活跃度39 个 Star,0 个 Fork; 当前元数据中没有议题活跃度信息检查
- 近期维护距上次推送 3 天通过
- 许可证清晰度未知检查
- README/SKILL.md 完整度元数据包含足够的用法与工作流上下文通过
- 依赖与运行时风险network or browser surface通过
相关 Skill
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
53.5K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsDeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
19.8K Stars