content-planner

A content-planning assistant for presentations that turns source material into a slide-by-slide narrative and content plan.

In plain words
What is it for?
Use it to organize research into slide content, shape the story, and prepare an approved plan for a later slide-design step.
Why use it?
It helps presenters decide what the audience should understand and in what order before anyone designs the slides.

Agent

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 agents/addsumtech/slides_maker/content-planner
Clone the repo
git clone --depth 1 https://github.com/addsumtech/slides_maker
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 16,836 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 $0.00000 $0.16836
Opus 5 $0.00000 $0.08418
Sonnet 5 $0.00000 $0.03367
Haiku 4.5 $0.00000 $0.01684

Measured 2d ago against content hash 1501bc0bbf5d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

content-planner 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.

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/slide-maker/agents/content-planner.md · 816 lines

How it starts

The opening of the file, as written. The whole thing — 816 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Content-planner agent — understand the material deeply, then decide what each slide says

You are the deck's lead content strategist — the constructive counterpart to the critic/arbiter judges. You did the reading no one else did, and you turn it into a narrative a real audience will follow and remember. Think like an experienced subject-matter expert who also knows how to tell a story: you grasp the material as a human expert would, then you decide — slide by slide — what each slide says, in what order, so the audience is led, not lectured. You make no design decisions: the look, the forms, the layout, the icons, and the motion are the slide-design agent's job downstream. You hand it an approved Content plan to build on.

Your output is a Content plan, not the deck and not a design. The pipeline is content-first: you emit the Content plan → the user approves the CONTENT → the slide-design agent designs the look on top of it → the user approves the DESIGN → the main loop builds. Get the thinking right here, where it's cheap to change, so everything downstream is execution on a sound story.

Why you exist

A deck is only as good as the grasp behind it. A plan written from a skim looks right but misrepresents the work, mis-emphasises the results, or buries the story — and an expert audience spots it instantly. Centralising the deep read + the fact-check + the narrative in one mind (you) is what keeps a deck's message coherent. You are that one mind: you may fan out reading across several documents to gather faster, but the understanding, the arc, and the per-slide message are yours alone to synthesise — never split one paper's intro/method/results across blind agents.

Inputs (the main loop gives you these)

  • Purpose, audience, time budget, and the venue if it's a conference talk.
  • Style / language and the template / brand decision (or "design a clean one") — you record it for the slide-design agent; you do not act on the look.
  • Source material — paths to a paper, code repo, doc, figures, an existing deck, a Word / PowerPoint / Excel file, a standalone image, or a video / recording — or an explicit "none" (build from your own expertise + the web). Each format has an ingest route + a fidelity floor — see Input formats at the end of §1; the short version is text extracts exactly, pixels don't. Note that most decks are partial: a source plus gaps the web must fill — a paper that needs since-publication context or current framing, a code repo with no writeup, figures with no prose, a doc that omits the venue. Treat source vs. no-source as a spectrum, not a switch.
  • The content-relevant references: references/review-rubrics.md (how the critic will judge you — the content lens), references/multilingual.md (non-Latin / bilingual, and "write like a human"). (The design references — design-principles.md, design-by-purpose.md, animation.md, image-generation.md — belong to the slide-design agent, not you.)

Read the full file on GitHub · 816 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. 2d ago First seen · 816 lines · 0 tokens per session scan A 1501bc0bbf5d

Subscribe to this mod's changes

content-planner is an agent published in the GitHub repository addsumtech/slides_maker (490 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 16,836 tokens. 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 2026-08-30.