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Kimi Pdf

Community
thvroyal
kimi-pdf

Professional PDF solution. Create PDFs using HTML+Paged.js (academic papers, reports, documents). Process existing PDFs using Python (read, extract, merge, split, fill forms). Supports KaTeX math formulas, Mermaid diagrams, three-line tables, citations, and other academic elements. Also use this skill when user explicitly requests LaTeX (.tex) or native LaTeX compilation.

Overview

Publisherthvroyal
Repositorykimi-skills
Skill namekimi-pdf
Stars
239
Forks
59
Bundled files
17
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 17 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by thvroyal on GitHub. Read the source before you install it.

Installation

Install the Kimi Pdf AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/thvroyal/kimi-skills/tree/main/skills/kimi-pdf
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/thvroyal/kimi-skills.git /tmp/kimi-skills
mkdir -p .claude/skills
cp -r /tmp/kimi-skills/skills/kimi-pdf .claude/skills/kimi-pdf
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kimi Pdf in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Kimi Pdf on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Kimi Pdf is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Route Selection

RouteTriggerRoute File
HTML (default)All PDF creation requestsroutes/html.md
LaTeXUser explicitly requests LaTeX, .tex, or Tectonicroutes/latex.md
ProcessWork with existing PDFs (extract, merge, fill forms, etc.)routes/process.md

Default to HTML. Only use LaTeX route when user explicitly requests it.

MANDATORY: Read Route File Before Implementation

Before implementation, you MUST:

  1. Determine the route (HTML / LaTeX / Process)
  2. Read the route file (routes/html.md, routes/latex.md, or routes/process.md)
  3. Only then proceed with implementation

This file (SKILL.md) contains constraints and principles. Route files contain how-to details.

Decision Rules

Route Selection
User SaysRoute
"Create a PDF", "Make a report", "Write a paper"HTML
"Use LaTeX", "Compile .tex", "Use Tectonic"LaTeX
"Extract text from PDF", "Merge these PDFs", "Fill this form"Process
Cover Style Selection (HTML Route)
ContextStyle
Academic paper, thesis, formal courseworkMinimal (white, centered, no decoration)
Reports, proposals, professional documentsDesigned (choose from style reference in html.md)
UncertainDefault to Designed — plain text cover = mediocre

Key principle: Cover background separates "acceptable" from "impressive". See html.md for 11 style options.

Citation Format Selection
Document LanguageFormat
ChineseGB/T 7714 (use [J][M][D] identifiers)
EnglishAPA
MixedChinese refs → GB/T 7714, English refs → APA

Quick Start

Use the unified CLI for all operations:

bash
# Check environment (JSON output, exit code 0=ok, 2=missing deps)
/app/.kimi/skills/kimi-pdf/scripts/pdf.sh check

# Auto-fix missing dependencies (idempotent, safe to run multiple times)
/app/.kimi/skills/kimi-pdf/scripts/pdf.sh fix

# Convert HTML to PDF
/app/.kimi/skills/kimi-pdf/scripts/pdf.sh html input.html

# Compile LaTeX to PDF
/app/.kimi/skills/kimi-pdf/scripts/pdf.sh latex input.tex

Exit codes:

  • 0 = success
  • 1 = usage error
  • 2 = dependency missing (run pdf.sh fix)
  • 3 = runtime error

Dependencies by route:

  • HTML route: Node.js, Playwright, Chromium
  • Process route: Python 3, pikepdf, pdfplumber
  • LaTeX route: Tectonic

Core Constraints (Must Follow)

1. Output Language

Output language must match user's query language.

  • User writes in Chinese → PDF content in Chinese
  • User writes in English → PDF content in English
  • User explicitly specifies language → Follow user's specification

2. Word Count and Page Constraints

  • Strictly follow user-specified word/page count requirements
  • Do not arbitrarily inflate content length

3. Citation and Search Standards

CRITICAL: Search Before Writing

DO NOT fabricate information. When in doubt, SEARCH.

If content involves ANY of these, you MUST search FIRST before writing:

  • Statistics, numbers, percentages, rankings
  • Policies, regulations, laws, standards
  • Academic research, theories, methodologies
  • Current events, recent developments
  • Anything you're not 100% certain about
When Search is Required
ScenarioSearch?Notes
Statistics, dataRequirede.g., "2024 employment rate"
Policies, regulationsRequirede.g., "startup subsidies"
Research, papersRequirede.g., "effectiveness of method X"
Time-sensitive contentRequiredInformation after knowledge cutoff
Uncertain factsRequiredIf unsure, always search
Common knowledgeNot needede.g., "water boils at 100°C"

Search workflow:

  1. Identify facts/data requiring verification
  2. Search for authentic sources
  3. If results insufficient, iterate search until reliable info obtained
  4. Include real sources in references
  5. If search fails repeatedly, tell the user instead of making up data
Citations Must Be Real

Fabricating references is prohibited. All citations must have:

  • Correct author/institution names
  • Accurate titles
  • Verifiable year, journal/source
Cross-references (Must Be Clickable)
html
As shown in <a href="#fig-1-1">Figure 1-1</a>...
From <a href="#eq-2-1">Equation (2-1)</a>...
See <a href="#sec3">Section 3</a>...

Note: id must be placed at container top (see CSS Counters section in html.md).


Content Quality Constraints

1. Word/Page Count Constraints

Must strictly follow user-specified word or page count requirements:

User RequestExecution Standard
Specific word count (e.g., "3000 words")Within ±20%, i.e., 2400-3600 words
Specific page count (e.g., "5 pages")Exactly equal, last page may be partial
Word count range (e.g., "2000-3000 words")Must fall within range
No explicit requirementInfer reasonably by document type; prefer thorough over superficial
Minimum specified (e.g., "more than 5000 words")No more than 2x, i.e., 5000-10000 words

Prohibited behaviors:

  • Arbitrarily shortening content ("concise" is not an excuse)
  • Padding pages with excessive bullet lists (maintain high information density)
  • Exceeding twice the user's requested length

Special case - Resume/CV:

  • Resume should be 1 page unless user specifies otherwise
  • Use compact margins: margin: 1.5cm

2. Outline Adherence (Mandatory)

When user provides outline:

  • Strictly follow the user-provided outline structure
  • Section titles must match outline (minor wording adjustments OK, no level/order changes)
  • Do not add or remove sections arbitrarily
  • If outline seems problematic, ask user first before modifying

When no user outline:

  • Use standard structures based on document type:
    • Academic papers: IMRaD (Introduction-Methods-Results-Discussion) or Introduction-Literature Review-Methods-Results-Discussion-Conclusion
    • Business reports: Conclusion-first (Executive Summary → Detailed Analysis → Recommendations)
    • Technical docs: Overview → Principles → Usage → Examples → FAQ
    • Course assignments: Follow assignment structure requirements
  • Sections must have logical progression, no disconnects

Tech Stack Overview

RouteToolsPurpose
HTMLPlaywright + Paged.jsHTML → PDF conversion
HTMLKaTeX, MermaidMath formulas, diagrams
ProcesspikepdfForm filling, page operations, metadata
ProcesspdfplumberText and table extraction
ProcessLibreOfficeOffice → PDF conversion
LaTeXTectonicLaTeX → PDF compilation

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Kimi Pdf AI skill do?

Professional PDF solution. Create PDFs using HTML+Paged.js (academic papers, reports, documents). Process existing PDFs using Python (read, extract, merge, split, fill forms). Supports KaTeX math formulas, Mermaid diagrams, three-line tables, citations, and other academic elements. Also use this skill when user explicitly requests LaTeX (.tex) or native LaTeX compilation.

Why use Kimi Pdf on TypingMind?

Because you install it once and use it with any model. Kimi Pdf is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Kimi Pdf in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/thvroyal/kimi-skills/tree/main/skills/kimi-pdf. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Kimi Pdf?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Kimi Pdf?

As many as you like. As long as a model supports skills, you can use Kimi Pdf with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Kimi Pdf AI skill free?

It is published on GitHub by thvroyal. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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