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    Typst Agent

    1

    Expert Typst authoring and LaTeX migration with compile-verified delivery and a version-aware docs cache.

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    Typst Agent

    Typst Agent

    Example session with this skill installed

    Convert this LaTeX theorem environment and math block to Typst. I need it to use a modern font and compile correctly with the 0.15 compiler.

    • Read your context and instructions
    • Compiled the typst agent

    I have mapped the LaTeX theorem environment to a Typst figure with a custom show rule and converted the math block to native Typst math mode.

    Typst Conversion Deliverable

    #set text(font: "New Computer Modern", size: 11pt)
#set heading(numbering: "1.")

// Define theorem style
#show figure.where(kind: "theorem"): it => {
  set align(left)
  block(fill: gray.lighten(90%), stroke: 0.5pt + navy, inset: 10pt, radius: 4pt, width: 100%)[
    #text(weight: "bold", fill: navy)[Theorem #it.counter.display(it.numbering)]
    #emph(it.body)
  ]
}

= Mathematical Foundations

#figure(
  [The square of the hypotenuse is equal to the sum of the squares of the other two sides.],
  kind: "theorem",
  supplement: [Theorem],
  numbering: "1",
) <pythagoras>

As shown in @pythagoras:
$ a^2 + b^2 = c^2 $

$ f(x) = integral_(-infinity)^(infinity) e^(-x^2) dif x $

    Verification Results:

    • Compiler: Typst 0.15.1
    • Command: typst compile theorem.typ
    • Output: theorem.pdf (1 page)

    Next steps

    1. For numbering schemes by section, the counter logic can be updated.
    2. Add a bibliography() call if these theorems require citations.

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    About this skill

    Typst authoring often fails due to fast-moving syntax changes, version mismatches, and mode confusion between markup and code. This skill provides a verified, iterative workflow for creating Typst documents that compile correctly on the first attempt by using the compiler as the source of truth.

    What it does

    • Environment validation checks for the Typst compiler and manages local installation or unverified mode signaling.
    • Smart docs lookup uses a local cache to store verified syntax and package signatures, preventing network calls and hallucinated parameters.
    • Scaffolded authoring generates documents from compile-verified templates for articles, reports, slides, and CVs.
    • Iterative debugging parses compiler diagnostics to apply specific fixes rather than blind rewriting.
    • LaTeX migration maps document intent, macros, and preamble settings to native Typst functions or Universe packages.

    How it works

    1. Status check: Run docs-lookup.py status to verify the local compiler version and docs cache state.
    2. Requirements gate: Present a high-level structure and package plan for user confirmation before writing markup.
    3. Verified authoring: Generate Typst code, performing lookups for version-sensitive syntax like font variations or multi-bibliography targets.
    4. Compile loop: Execute typst compile to validate the output, resolving any errors via the diagnostics catalogue.

    Frameworks & tools

    Typst CLI, Typst Universe packages (cetz, fletcher, touying, codly), and BibLaTeX/Hayagriva for bibliographies.

    Why this beats prompting it yourself

    Standard LLMs frequently hallucinate Typst syntax because the language evolves rapidly (e.g., breaking changes in 0.15 backslash paths). This skill forces a compile-check loop and uses a version-aware local cache to ensure every snippet delivered actually works in your environment.

    Use cases

    • Migrating complex LaTeX research papers to modern Typst templates.
    • Generating data-driven reports using JSON, YAML, or CSV inputs.
    • Creating technical diagrams and flowcharts using the cetz or fletcher packages.
    • Debugging obscure Typst compiler errors and layout convergence warnings.

    Known limitations

    Does not support plain Markdown, Word, or unrelated PDF tasks. PDF text extraction from source docs may require manual cleanup of ligatures. Requires local compiler for full verification.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    Trust & safety

    Security scanned

    Verified clean 8 days ago

    • Passed all security checks, Safe to install

    Requires

    Python
    macOS

    Listed8 days ago

    What's inside

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