slide-transform

slide-transform is a skill for Claude Code, Codex from ai-analyst-lab/ai-analyst-plugin. It costs 115 tokens per session (2,387 once invoked), scanned A, original, MIT.

A method for redesigning one presentation slide into two or three alternatives and checking each against a data-story checklist.

In plain words
What is it for?
It is used to improve a specific slide, rewrite its headline, or create different versions for a meeting or audience.
Why use it?
It helps turn a confusing slide into a clearer explanation of the main point, evidence, stakes, and requested decision.

Skill for Claude CodeCodex

Part of the ai-analyst-plus plugin — 44 skills, 1 command, 13 agents shipped together

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/ai-analyst-lab/ai-analyst-plugin/slide-transform
Any agent
npx skills add ai-analyst-lab/ai-analyst-plugin --skill slide-transform
Clone the repo
git clone --depth 1 https://github.com/ai-analyst-lab/ai-analyst-plugin

Made for: Claude Code, Codex.

Or install ai-analyst-plus, the plugin that ships this one along with the rest of its 44 skills, 1 command, 13 agents.

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 slide-transform

README.md
[![agentmods](https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst-plugin/slide-transform.svg)](https://agentmods.dev/skills/ai-analyst-lab/ai-analyst-plugin/slide-transform)
Your own site
<a href="https://agentmods.dev/skills/ai-analyst-lab/ai-analyst-plugin/slide-transform"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst-plugin/slide-transform.svg" alt="Measured on agentmods" height="20"></a>
Per session 115 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,387 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 $0.00115 $0.02387
Opus 5 $0.00057 $0.01193
Sonnet 5 $0.00023 $0.00477
Haiku 4.5 $0.00012 $0.00239

Measured 5d ago against content hash 6098febb6906, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

slide-transform 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 5d 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.

ai-analyst-plus/skills/slide-transform/SKILL.md · 261 lines

How it starts

The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: Slide Transform

Purpose

Take one bad slide and produce 2-3 redesigned variants, each with an explanation of what changed and why. Each variant optimizes for a different dimension of the Data Story Checklist.

When to Use

Apply this skill when:

  1. The user asks to fix, improve, or redesign a specific slide — "fix slide 3", "make this slide better", "transform this slide"
  2. After /deck-critique identifies slides scoring below 6/12 — target the worst offenders
  3. The user wants to see multiple approaches to presenting the same content

This skill can be invoked directly as /slide-transform or called by the presentation-doctor orchestrator agent.

Inputs

  • {{SLIDE_CONTENT}}: The original slide content — either raw text, Marp markdown for one slide, or a slide object from deck_parser.py
  • {{OPTIMIZE_FOR}} (optional): Which checklist dimension to prioritize — SO-WHAT, STAKES, EVIDENCE, ASK, or all (default: all)
  • {{AUDIENCE}} (optional): Who the presentation is for
  • {{CONTEXT}} (optional): What decision or meeting this slide supports
  • {{CRITIQUE}} (optional): The per-slide scorecard from /deck-critique — if provided, uses the specific scores to guide the transformation

Instructions

Before You Start: Input Validation

If the user hasn't provided the actual slide content:

Stop and ask for it. Do NOT create an example slide or guess what the slide might contain. You need the real slide content to provide useful transformations. Ask:

  • "Can you share the slide content? You can paste the text, share the Marp markdown, or describe what's currently on the slide."

Reason: Transforming a hypothetical slide wastes time and produces variants the user can't actually use. The whole point is to fix THEIR slide, not a made-up one.

If the user's context is unclear:

Ask clarifying questions before proceeding:

  • What decision does this slide need to inform? (helps determine if Variant C should emphasize stakes vs ask)
  • Who's the audience? (exec = emphasis on stakes and ROI; PM = emphasis on action and metrics)
  • What's the primary problem with the current slide? (helps prioritize which variant to recommend)

Read the full file on GitHub · 261 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. 5d ago First seen · 261 lines · 115 tokens per session scan A 6098febb6906

Subscribe to this mod's changes

slide-transform is a skill published in the GitHub repository ai-analyst-lab/ai-analyst-plugin (32 stars, last pushed 9d ago), licensed MIT. It adds 115 tokens to every session and 2,387 once invoked, about $0.0006 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 2026-08-30.

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