presentation

A browser-presentation workflow for creating talks around one shared diagram that changes as the audience moves through each step.

In plain words
What is it for?
Use it to create or modify interactive presentations and to set up or update the reusable code needed for them.
Why use it?
It provides a defined way to gather the story, build the presentation structure, and check that the result works.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/codagent-ai/and-scene/presentation
Any agent
npx skills add Codagent-AI/and-scene --skill presentation
Clone the repo
git clone --depth 1 https://github.com/Codagent-AI/and-scene

Made for: Claude Code, Codex.

Per session 99 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,520 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00099 $0.05520
Opus 5 $0.00049 $0.02760
Sonnet 5 $0.00020 $0.01104
Haiku 4.5 $0.00010 $0.00552

Measured 2d ago against content hash c97b06fd45fb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

presentation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

The scan reads SKILL.md. This mod also ships 19 executable files (kitSnapshot.test.ts, scaffold.test.ts, scaffold.ts, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/presentation/SKILL.md · 524 lines

How it starts

The opening of the file, as written. The whole thing — 524 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Presentation skill

Build evolving-scene presentations: one shared diagrammatic canvas where entities morph across steps while captions and navigation guide the audience. Each presentation is a self-contained folder under src/presentations/<slug>/ that composes the reusable scene kit at src/presentation-kit/.

When to use

  • User asks to create, build, or generate a presentation or talk
  • User asks to modify, update, or add steps to an existing presentation
  • Project lacks the scene kit or presentation infrastructure and needs bootstrapping
  • User asks to update, resync, or pull the latest scene kit into a project whose vendored src/presentation-kit/ has fallen behind the skill (see Updating the vendored kit)

Procedure

Work through these phases in order. Do not skip self-verify.

1. Gather requirements

Ask one question at a time. Cover:

  1. Topic — what the presentation is about
  2. Visual style — accents, mood, density (sparse diagram vs. rich layout)
  3. High-level sections — the major parts of the story, in order
  4. Each step — after the sections are agreed, flesh them out one by one. A "step" means one navigable beat in the presentation: the caption/title plus the scene state shown for that moment.
  5. Per-step visuals — which entities appear, how they relate, and what morphs between steps

Rules:

  • Do not assume details the user can still provide
  • Allow the user to proceed with partial detail and iterate later — no hard completeness gate
  • Do not start by asking how long the talk should be or how many steps it should have. First establish the high-level sections, then expand each section into steps. Ask about length/count only after that structure exists, or when the user explicitly asks the agent to decide or fill in details.
  • If the user says the length/count is TBD, accept that and continue by shaping the high-level sections before implementing any steps.
  • Define skill-specific terms the first time they are used in user-facing conversation. For example: a "step" is one navigable beat of the talk; a "hero" entity is the main visual object that carries continuity across the scene. Do not front-load a glossary; define terms just before they matter.
  • If the prompt already contains topic, style, and all step details, proceed to scaffold/generate without further questions
  • For key or complex steps, optionally draw an ASCII mockup of the layout and ask the user to confirm before building. Use mockups selectively, not for every step

Read the full file on GitHub · 524 lines

Files

What ships with it

41 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 524 lines · 99 tokens per session scan A c97b06fd45fb

Subscribe to this mod's changes

presentation is a skill published in the GitHub repository Codagent-AI/and-scene (5 stars, last pushed 3d ago), licensed MIT. It adds 99 tokens to every session and 5,520 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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