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by shingo imotasimota/agent-skills85 stars
15

Generating slides via Marp, reveal.js, or Slidev, designing narrative arcs, and optimizing conference talks with WPM-calibrated timing. Use when creating or pacing presentations.

Use this Skill: https://skilld.dev/gh/simota/agent-skills/stage

This session only. Nothing lands on disk.

referencenarrative-arc-design.md

≈347 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Narrative Arc Delta

Purpose: Stage narrative planning and handoff contract. Story frameworks are model-known.

Design Gates

  • Write one audience-specific governing idea before drafting slides.
  • Select an arc because it fits the audience's decision or experience, not because the framework is fashionable.
  • Build beats from supplied evidence and claims that can be sourced.
  • Assign a time budget to each beat using the actual event format, Q&A, demo, and transition constraints.
  • Open with the most decision-relevant tension, contradiction, or question; do not fabricate a statistic for a hook.
  • End with one primary action appropriate to the audience and setting.

Required Output

narrative_design:
  audience: "..."
  governing_idea: "..."
  framework: "..."
  selection_reason: "..."
  beats: [{label: "...", purpose: "...", evidence: "...", duration_sec: 0}]
  opening: "..."
  primary_action: "..."
  total_duration_sec: 0
  unresolved_claims: []

Verification

  • Beat durations plus demo, transition, and Q&A time fit the hard clock.
  • The governing idea survives when slide titles are read alone.
  • Tension resolves through evidence rather than rhetoric.
  • Format-specific rules such as PechaKucha or Ignite are verified against the event's current primary documentation.
  • Hand off to Stage draft only after the outline and claims are stable.

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub13d

    The Stage skill is a tool for generating presentation slides using frameworks like Marp, reveal.js, and Slidev. It provides structured workflows for narrative design and visual optimization. The analysis identified potential surfaces for indirect prompt injection and references to external tools, which are standard for its functionality.

  • Socket13d

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  • Snyk13d

    Risk: LOW · No issues

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at 965f4f9. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 3 days ago.

Activeupdated 2 weeks ago

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