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
Asset-Profil
Coding- und Entwickler-Agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Szenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent-Fit
Claude Code + Browser agents + CLI
Geeignet für Codex, Claude Code, Cursor, CLI oder benutzerdefinierte Agents.
Installieren
Bereit
npx skills add AlemTuzlak/skills --skill presentation
Wartung
Aktuell
3 Tage seit dem letzten Push
Risiko
Riskant
Lizenz ist unklar
GitHub-Qualität
39
57/100 Qualität · 65/100 Vertrauen
Abdeckungs-Tags
Review-Notizen
Lizenz ist unklar · Permission surface may require sandboxing
Agent-Adoptionskarte
Vertrauen, Audit und Installationsbereitschaft auf einen Blick
Diese Werte kombinieren öffentliche Repository-Metadaten, OpenAgentSkill-Reviewsignale, Wartungsaktualität und Installationsbereitschaft. Sie helfen bei der Vorauswahl, ersetzen aber keine menschliche Prüfung.
Qualität
VielversprechendUseful candidate, but compare it with alternatives before adopting.
Vertrauen
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
RiskantMaschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.
OpenAgentSkill Trust Score v5
Nur Sandbox
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
39 GitHub-Stars
Repository-Aktivität
39 Stars und 0 Forks
Wartung
3 Tage seit dem letzten Push
Lizenz
Unbekannt
Installieren
npx skills add AlemTuzlak/skills --skill presentation
Installationssicherheit
Standard-Paket- oder Laufzeit-Installationspfad
Berechtigungsfläche
shell or command execution, filesystem or document access
Agent-Ergebnisse
Noch keine Agent-Ergebnisdaten
Dokumentation
Starker README/SKILL.md-Kontext
Risikoübersicht
Vor Produktion prüfen
- 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.
- Lizenz ist unklar
- Low GitHub adoption signal
Installationsbereitschaft
Installationspfad verfügbar
- Installationspfad ist verfügbar
- Repository-Belege sind verfügbar
- Lizenz ist unklar
- Noch keine Agent-Proven-Ergebnisbelege
Agent-lesbare Metadaten
Maschinenlesbare Entscheidungsdaten für diesen Skill.
Nutze diesen Block oder das eingebettete JSON, um zu entscheiden, ob ein Agent diesen Skill installieren, eine Alternative wählen oder zuerst menschliche Prüfung anfordern soll.
Geeignete Aufgaben
- Präsentationserstellung-Workflows
- Claude-Code-Teams
- builders willing to evaluate younger projects
- Choose the right deck format
Geeignete Agents
Installationsentscheidung
- Befehl
- npx skills add AlemTuzlak/skills --skill presentation
- Richtlinie
- Blockieren
- Menschliche Prüfung
- Ja
Vertrauen und Risiko
- Vertrauen
- 57/100
- Audit
- 71/100
- Risikoebene
- Riskant
Ergebnis-Loop
- Endpoint
- /api/agent/outcome
- Event-ID
- resolve
- Ergebnisse
- 5
Installationsbefehl
npx skills add AlemTuzlak/skills --skill presentationNicht verwenden, wenn
- Teams, die ein vom Anbieter unterstütztes SLA benötigen
- 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
Alternative
Last30days Skill
53.5K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
Academic Research Skills
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
GPT Researcher
28.0K Stars
npx skills add assafelovic/gpt-researcher
Alternative
DeepResearch
19.8K Stars
npx skills add Alibaba-NLP/DeepResearch
Agent-Sicherheit v2
39/100 · Automatische Installation vermeiden
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.
Hoch
Shell- oder Befehlsausführung
Die Skill-Metadaten verweisen auf Terminal-, CLI-, Shell-, Subprozess- oder Befehlsausführungs-Workflows.
Mittel
Browser automation
Skill may drive a browser or interact with web pages.
Mittel
Netzwerkzugriff
Die Skill ruft wahrscheinlich Remote-Seiten, APIs, Repositories oder externe Dienste ab.
Mittel
Dateisystemzugriff
Die Skill kann Projektdateien, Dokumente, generierte Artefakte oder den lokalen Arbeitsbereich lesen oder schreiben.
- Audit risk risky exceeds max_risk=medium
- Hinweise auf Hochrisiko-Berechtigungen: Shell- oder Befehlsausführung
- Lizenz ist unklar
Installationsziele
Diesen Skill im Agent-Workflow installieren
Über den öffentlichen Endpunkt erhältst du Befehl, Sicherheitscheckliste, Ziel-Prompts und kanonische Links.
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-Auflösungsplan
Lass einen Agent die Eignung vor der Installation prüfen.
Die Resolve API liefert die beste Skill, Alternativen, Sicherheitsrichtlinien, Auditnotizen, Installationsziel und einen direkt nutzbaren Prompt.
JSON öffnen
/api/agent/resolve?task=Use%20presentation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve-Text
/api/agent/resolve?task=Use%20presentation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Installationsübergabe
/api/skills/alemtuzlak-presentation/install
Agent sollte prüfen
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Prompt kopieren
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-Übergabe
Gib dem Agent den Installationspfad, nicht noch ein Verzeichnis.
Über den öffentlichen Endpunkt erhältst du Befehl, Sicherheitscheckliste, Ziel-Prompts und kanonische Links.
Installationsübergabe
/api/skills/alemtuzlak-presentation/install
LLM-Textformat
/api/skills/alemtuzlak-presentation/install?format=text
Alternativen finden
/api/skills/search?q=presentation&limit=3
Agent-Prompt
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-Metadaten
Agent-lesbares Profil für die automatische Skill-Auswahl.
Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.
Manifest
/api/registry/manifest/alemtuzlak-presentation
LLM-Text
/api/registry/manifest/alemtuzlak-presentation?format=text
Installationsalias
/api/registry/install/alemtuzlak-presentation
Empfehlen
/api/registry/recommend?task=Use%20presentation%20in%20an%20agent%20workflow&limit=3
Agent-Fit
Präsentationserstellung
Plattformen
Claude Code, Browser agents
Audit-Bericht
Riskant · 71/100
Maschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.
Agent-Entscheidungspanel
Fallback candidate for Presentation generation
Prototype with this skill first; keep a fallback candidate ready.
Rolle im Stack
Fallback-Kandidat
Primäre Eignung
Präsentationserstellung
Vertrauenslabel
Zuerst prototypisieren
Installationspfad
Befehl bereit
Verwenden wenn
- Präsentationserstellung-Workflows
- Claude-Code-Teams
- builders willing to evaluate younger projects
Evidenz
- recent repository activity
- install command or GitHub repo available
- Qualitätsprofil 57/100
- 5 OpenAgentSkill-Interaktionen
zuerst prüfen
- Low GitHub adoption signal
- Repository license is unknown; no LICENSE file or license declaration detected in the skill. This creates legal ambiguity for reuse.
Implementierungspfad
- 1Installieren Sie es in einem Sandbox-Agent und führen Sie eine Präsentationserstellung-Aufgabe vollständig aus.
- 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.
Vertrauensprofil
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub-Akzeptanz
Prüfen39 GitHub-Stars
Star-/Fork-Aktivität
Prüfen39 Stars und 0 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Aktuelle Wartung
Bestanden3 Tage seit dem letzten Push
Lizenzklarheit
PrüfenUnbekannt
Positive Signale
- KI-Prüfung genehmigt
- Installationspfad ist verfügbar
- Repository-Belege sind verfügbar
- Kürzlich gewartetes Repository
- Der Installationsbefehl weist kein offensichtliches Hochrisikomuster auf
- Ergebniszyklus ist bereit, benötigt aber den ersten echten Agent-Lauf
Vor Installation prüfen
- 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.
- Lizenz ist unklar
- 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
- Noch keine echten Agent-Ergebnisberichte
- Vor unbeaufsichtigter Installation ist menschliche Prüfung erforderlich
Empfohlene Aktion
Choose a stronger alternative or inspect the source manually before any install attempt.
Qualitätsprofil
Vielversprechend Kandidat für Agent-Workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow-Eignung
Diese Skill in diesen Szenarien nutzen
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.
Workflow-Eignung
Zum vollständigen Workflow hinzufügen
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.
Alternativen-Shortlist
Vor Installation vergleichen
Similar skills that may fit this task.
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
Übersicht
--- 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`.
Technische Details
- Version
- 1.0.0
- Lizenz
- Unknown
- Letzte Aktualisierung
- 19. Aug. 2026
- Veröffentlicht
- 19. Aug. 2026
Entscheidungsübersicht
Fallback-Kandidat
recent repository activity
Audit
Installationsprüfung
Installations- und Adoptionsprüfung
- Sicherheit
- 70/100
- Wartung
- 100/100
- Installieren
- 92/100
Von Agent belegte Evidenz
Von Agent belegte Evidenz
Ergebnisberichte nach Resolve, Prüfung, Installation und einem begrenzten Lauf.
- Erfolgsrate
- —
- Letzter Fehler
- —
- Ergebnisse
- 0
- Ausgabequalität
- —
- Fehlgeschlagen
- 0
- Nicht relevant
- 0
- Installationen
- 0
- Durch Risiko blockiert
- 0
- Einrichtung erforderlich
- 0
- Produktion
- 0
Noch keine Agent-Ergebnisdaten. Der erste Lauf kann Erfolg, Einrichtungsbedarf, Risikoblockaden, Fehler oder Irrelevanz über /api/agent/outcome melden.
Installieren
Zum Agent-Workflow hinzufügen
Kostenlos und Open Source. Bericht vor der Installation in Produktions-Agents prüfen.
Wachstums-Loop
Share-Kit
Szenariobasierter Entwurf für presentation, bereit für einen manuellen X-Post.
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
Optionale Antwort mit Installationsbefehl
Listing + install path for presentation: https://www.openagentskill.com/skills/alemtuzlak-presentation?ref=x Install: npx skills add AlemTuzlak/skills --skill presentation
Quelle des Eintrags
Registry-indexiert
Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.
- Ersteller
- AlemTuzlak
- Quelle
- AlemTuzlak/skills
- Indexiert von
- OpenAgentSkill Community-Index
Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.
Diesen Skill beanspruchenEigentümeranspruch
Diesen Skill-Eintrag beanspruchen
Dieser Registry-indexiert-Eintrag wird AlemTuzlak zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.
Creator-Backlink-Kit
Evidenz-Badges in deine README einfügen
Zeige den kanonischen Eintrag, aktuelle Vertrauens- und Audit-Signale sowie echte Agent-Proven-Evidenz dort, wo Entwickler das Repository bewerten.
[](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)Autor
AlemTuzlak
@alemtuzlak
Tags
Plattform-Fit
Gesundheitssignale
- GitHub-Stars
- 39
- Qualitätswert
- 34/100
- Letzter GitHub-Push
- 19. Aug. 2026
- Framework-Hinweise
- Unbekannt
- OpenAgentSkill-Aufrufe
- 5
- Installationskopien
- 0
- Externe Klicks
- 0
Community-Signal
Teile mit, ob dieser Skill für deinen Agent-Workflow nützlich ist. Zusammengefasstes Feedback verbessert das Ranking im Laufe der Zeit.
Vertrauen & Sicherheit
Do not auto-install
- GitHub-Akzeptanz39 GitHub-StarsPrüfen
- Star-/Fork-Aktivität39 Stars und 0 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbarPrüfen
- Aktuelle Wartung3 Tage seit dem letzten PushBestanden
- LizenzklarheitUnbekanntPrüfen
- README/SKILL.md-VollständigkeitMetadaten enthalten ausreichend Nutzungs- und Workflow-KontextBestanden
- Abhängigkeits-/Laufzeitrisikonetwork or browser surfaceBestanden
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