deckset_skill

Overview

This skill generates Deckset-compatible markdown presentations from a conversation with high semantic fidelity. It refreshes upstream Deckset markdown docs and example gists on every run, then drafts a single coherent deck with presenter notes where helpful. Output is sized to content and follows Deckset syntax rules to ensure parseable slides.

How this skill works

On invocation it first refreshes upstream references; if refresh cannot reach sources the skill falls back to local cache and discloses that. It analyzes the conversation to extract audience, objective, key claims and evidence, constraints, and required talking points. The skill builds a narrative spine—opening context, core argument sequence, implementation or evidence details, and a decision summary or call to action—then renders one Deckset markdown deck and runs quality gates for fidelity, coherence, syntax, and delivery.

When to use it

• When you need a slide deck drafted directly from a chat or meeting transcript.
• When requests mention decks, slides, presentations, speaker notes, or Deckset markdown output.
• When converting an existing conversation into a narrative slide flow.
• When you want Deckset-specific syntax and presenter notes included.
• When you need an output that stays faithful to claims and their hierarchy.

Best practices

• Provide explicit audience and objective early in the conversation for best alignment.
• List must-cover talking points or constraints to ensure they appear in the deck.
• Keep each major idea focused—the skill produces one major idea per slide by default.
• Request staged reveals explicitly if you want incremental-build steps.
• Review the disclosed refresh status if external references are required for accuracy.

Example use cases

• Turn a product strategy chat into a persuasive investor update with speaker notes.
• Convert a technical design discussion into a step-by-step implementation deck.
• Draft an executive summary deck from meeting minutes with clear call to action.
• Create training slides from a Q&A session, preserving claims and supporting evidence.
• Refresh cached examples and docs before generating a style-consistent Deckset deck.