explorable-deck

explorable-deck is a skill for Claude Code, Codex from claesbackman/AI-research-feedback. It costs 170 tokens per session (3,228 once invoked), scanned A, original, MIT.

A presentation-building guide for Quarto and reveal.js, tools that turn Markdown-like source into web and PDF slides. It structures a talk around one idea per slide, live visual stages, examples, and an appendix.

In plain words
What is it for?
Use it to create a 1280×720 teaching deck with presenter notes, themed figures, and presenter-controlled SVG animations.
Why use it?
It removes the need to design the slide structure, visual style, and interactive examples from scratch. It also keeps the printed PDF understandable without the live presentation.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it to create a 1280×720 teaching deck with presenter notes, themed figures, and presenter-controlled SVG animations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/claesbackman/ai-research-feedback/explorable-deck
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.

Any agent
npx skills add claesbackman/AI-research-feedback --skill explorable-deck
Clone the repo
git clone --depth 1 https://github.com/claesbackman/AI-research-feedback

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for explorable-deck

README.md
[![agentmods](https://agentmods.dev/badge/skills/claesbackman/ai-research-feedback/explorable-deck/github.svg)](https://agentmods.dev/skills/claesbackman/ai-research-feedback/explorable-deck)
Your own site
<a href="https://agentmods.dev/skills/claesbackman/ai-research-feedback/explorable-deck"><img src="https://agentmods.dev/badge/skills/claesbackman/ai-research-feedback/explorable-deck/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for explorable-deck

Your own site · 80×15
<a href="https://agentmods.dev/skills/claesbackman/ai-research-feedback/explorable-deck"><img src="https://agentmods.dev/badge/skills/claesbackman/ai-research-feedback/explorable-deck.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 170 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,228 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00170 $0.03228
Opus 5.5 $0.00068 $0.01291
Sonnet 5.5 $0.00034 $0.00646
Haiku 4.5 $0.00017 $0.00323

Measured 8d ago against content hash 2984393982c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

explorable-deck 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 8d ago.

The scan reads SKILL.md. This mod also ships 7 executable files (assets/template/js/deck-charts.js, assets/template/js/lib.js, scripts/convert_figs.sh, …), 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/explorable-deck/SKILL.md · 117 lines

How it starts

The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Explorable deck

Build a Quarto reveal.js deck that teaches the way a good explorable does, but inside the frame a talk imposes: linear, timed, driven by a presenter, 1280×720 with no scrolling. The explorable's non-linear tree becomes a spine of counted slides plus an appendix of side rooms. Its playables become stages the presenter operates while talking. Its "static read must work" becomes: the printed PDF must carry the argument on its own.

The sibling skill explorable-explanations builds the website version, and explorable-beamer builds the same deck in LaTeX beamer for a user who names Beamer, LaTeX, TeX or PDF. This one produces a Quarto deck, and it reuses the website's models and numbers when one already exists for the topic.

What you produce

One folder per deck, rendered with quarto render index.qmd:

<deck>/
  index.qmd            the deck: YAML header, one `##` per slide, `::: {.notes}` on every slide
  theme/deck.scss      tokens, faces, layouts, the stage, controls, figure frames
  theme/fonts.html     the three web fonts (system fallbacks in the theme)
  js/lib.js            drawing helpers and L.DATA, the single home of every number a chart uses
  js/deck-charts.js    the stages: CH['name'] = (el, {animate}) => cleanup
  js/include.html      the script tags Quarto appends to the body
  figs/*.svg           the source's figures, converted from PDF and recoloured (build output)
  figs/convert_figs.sh, figs/restyle_figs.py
  shoot_chrome.py      screenshots every slide, prints console messages
  README.md            how to render, check, present; where the numbers come from
  plan.md              the talk script (see below)

scripts/new_deck.sh <path> copies the template in assets/template/ and the scripts into place. Start every new deck from it: the template already solves the reveal.js traps listed in the notes reference.

Read first

  1. The Explorable Explanations Playbook: Nicky Case, Bret Victor, Steven Strogatz. Read §1–4 and §10 closely and skim the rest once per project. It explains why the craft rules exist so you can apply them with judgment. Its three-act arc, ladder of abstraction, empathy for the perplexed reader, and message → mechanics apply to a talk unchanged. Its §6 (interaction craft) and §9 (the frontier) describe the website; for a talk, the interaction section of deck-craft.md overrides them.
  2. Deck craft: how the explorable craft translates to slides, and what goes wrong. Read before planning, and again when reviewing.
  3. Quarto and reveal.js notes: the template's layout vocabulary, the stage API, the figure pipeline, rendering, screenshots, PDF export, and the traps. Read before building.
  4. Look at the four screenshots in references/example-deck/ of a finished deck built this way (a hook with two characters, an animated reveal stage, a paper figure beside prose, a coefficient plot), and at Case's Evolution of Trust for the broader vibe. The example deck is a housing-returns paper (Bäckman, D'Lima and Khorunzhina, "Anna and Bo"); if the source is that paper or a neighbour of it, borrow nothing from the examples but the register. For any topic, take the register, not the content: the topic decides the colours, the characters and the shapes.

Read the full file on GitHub · 117 lines

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. 8d ago Changed · +13 lines · +2 tokens per session 2984393982c0
  2. 9d ago Changed 147ddf4e9464
  3. 28d ago First seen · 104 lines · 168 tokens per session scan A e22d6aa6a1ae

Subscribe to this mod's changes

explorable-deck is a skill published in the GitHub repository claesbackman/AI-research-feedback (504 stars, last pushed 9d ago), licensed MIT. It adds 170 tokens to every session and 3,228 once invoked, about $0.0007 per session on Opus 5.5. 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 2026-09-26.

Related

Other skills, from other repositories

hr-onboarding

A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".

nexu-io/open-design · 62 tokens

book-mirror

Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…

garrytan/gbrain · 138 tokens

exam-forecast

Analyze past exams from the same professor to surface patterns — subject weighting, recurring issue-spot traps, favored hypo types, policy-vs-doctrine mix — and forecast likely emphases for the upcoming exam. Use when the user says "what's on the exam", "analyze past exams", "predict the exam", or shares past exams.

anthropics/claude-for-legal · 73 tokens

lean-formalize

Develop and verify a mathematical proof in Lean, continue an incomplete Lean project, or audit whether it proves the original statement. Connect actual inputs to intermediate lemmas, assemble the target theorem, check its transitive axioms, and provide a reproducible handoff. Use when Lean is requested or a specific…

wanshuiyin/Auto-claude-code-research-in-sleep · 81 tokens

eli5

Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.

companion-inc/feynman · 63 tokens

deck-course-module

A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.

nexu-io/html-anything · 25 tokens