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pdf-factoryPDF factory 命令行

Agent Skill

pdf-factory 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

220

周安装

9

GitHub Stars

1

下载量

71
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:pdf-factory(PDF factory 命令行)
来源仓库:https://github.com/bluewaves-creations/bluewaves-skills
仓库路径:skills/pdf-factory
安装命令:
npx skills add https://github.com/bluewaves-creations/bluewaves-skills --skill pdf-factory
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/bluewaves-creations/bluewaves-skills --skill pdf-factory

简介

pdf-factory 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。
  • 通过 npx skills add 命令从指定仓库安装,需结合 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态及是否会触发联网或文件读写操作。
  • 当前分类为前端设计,暂无更多功能说明。

SKILL.md

PDF Factory

Dependencies

Run before first use:

python3 scripts/install_deps.py

Required packages: xhtml2pdf, reportlab, pypdf, pyhanko, markdown, lxml, pillow, html5lib, cssselect2, svglib, python-bidi, arabic-reshaper.

The installer uses --no-deps for svglib, rlpycairo, and xhtml2pdf to avoid building the pycairo C extension (which requires the system cairo library). If installation fails with cairo/meson errors, run manually:

uv pip install --no-deps rlpycairo svglib xhtml2pdf

Icons

Phosphor icons are fetched on demand (not bundled). To pre-download icons:

# Fetch specific icons
python3 scripts/fetch_icons.py arrow-right check-circle warning

# Fetch all 1,500+ icons for offline use
python3 scripts/fetch_icons.py --all

Pipeline

Generate PDFs by following these steps in order:

  1. Resolve brand kit — Locate brand-{slug} skill, read manifest.json and zones.json
  2. Parse markdown — Convert source to HTML via markdown library
  3. Render content pages — Run render.py to produce styled content pages
  4. Compose document — Run compose.py to merge content with template pages
  5. Validate output — Run validate_output.py, fix errors, repeat until pass
  6. Sign (optional) — Apply digital signature via pyhanko

Rendering Internals

See references/internals.md for details on font registration, zone overlays, section page breaks, orphan prevention, SVG rendering, image corner radius, chart integration, image generation tokens, CSS specifics, and token resolution. Read when debugging rendering issues or understanding pipeline behavior.

Step 1: Resolve Brand Kit

Locate the brand kit skill directory and read:

  • assets/manifest.json — font paths, logo paths, template paths, tokens (colors + type_scale)
  • assets/templates/pdf/zones.json — content zones for each template page

The manifest.json["tokens"] section is the machine-readable source of truth for all color and typography values used by the pipeline scripts.

If no brand kit is specified, use fallback assets from assets/fallback/.

Step 2: Parse Markdown

Convert source markdown to HTML:

import markdown
html = markdown.markdown(source, extensions=[
    'tables', 'fenced_code', 'codehilite', 'toc', 'meta', 'attr_list'
])

Extract document metadata from markdown frontmatter:

  • title, subtitle, author, date → cover page zones
  • sections → section divider insertion

Step 3: Render Content Pages

The --brand flag is optional. Without it, render.py uses fallback fonts and colors.

# With brand kit:
python3 scripts/render.py \
  --brand /path/to/brand-{slug} \
  --input content.html \
  --output content-pages.pdf \
  --sections '["Executive Summary", "Technical Achievements"]'

# Fallback (no brand kit):
python3 scripts/render.py \
  --input content.html \
  --output content-pages.pdf

The --sections flag accepts a JSON array of section titles. H1 headings matching these titles are hidden from content pages (they appear on section divider pages instead). Omit --sections when not using section dividers.

For composition rules (grid, spacing, page breaks, widows/orphans), load references/composition.md.

For element rendering details (headings, code blocks, tables, lists), load references/elements.md.

Step 4: Compose Document

The --brand flag is optional. Without it, compose.py produces content-only output (no cover pages, section dividers, or zone overlays).

# With brand kit:
python3 scripts/compose.py \
  --brand /path/to/brand-{slug} \
  --content content-pages.pdf \
  --metadata metadata.json \
  --output final.pdf

# Fallback (no brand kit, metadata only):
python3 scripts/compose.py \
  --content content-pages.pdf \
  --metadata metadata.json \
  --output final.pdf

compose.py embeds title, author, and subtitle from metadata.json into the PDF info dictionary.

Provide metadata.json with this structure:

{
  "title": "Document Title",
  "subtitle": "Optional Subtitle",
  "author": "Author Name",
  "date": "February 9, 2026",
  "sections": [
    { "title": "Introduction", "page": 1 },
    { "title": "Analysis", "page": 5 }
  ]
}

Step 5: Validate Output

Run automated validation:

python3 scripts/validate_output.py final.pdf --brand /path/to/brand-{slug}

If validation fails, check these common issues:

  • "Font not embedded" — Verify font path in manifest matches actual file in assets/fonts/
  • "Page count 0" — Verify render.py produced output; check input HTML is not empty
  • "Missing metadata" — Ensure metadata.json contains title and author fields
  • "Brand font missing" — Confirm all fonts declared in manifest exist on disk

Fix errors and re-run validation. Only proceed when all checks pass.

Then perform manual QA:

  1. No H1 duplication — Section titles appear only on divider pages, not repeated on content pages (use --sections in Step 3 to prevent this)
  2. Images contextually relevant — Each image matches its section topic; no nonsensical compositions or artifacts
  3. Images brand-aligned — Style matches tokens.imagery guidelines (B&W for Wave Artisans, editorial for Bluewaves, reportage for Decathlon)
  4. Charts readable — Labels don't overlap, legends are clear, data is accurate, no clipping
  5. File size — Total PDF under 50MB; if over, regenerate images with JPEG format and 2K resolution
  6. Page flow — No orphaned headings at page bottoms, no widowed single lines at page tops
  7. Cover/divider zones — Title, subtitle, date, and author render correctly in their zones

Step 6: Sign (Optional)

Apply digital signature via pyhanko when required:

from pyhanko.sign import signers
from pyhanko.keys import load_cert_from_pemder
# Requires a PKCS#12 certificate file (.p12/.pfx)

Example

Input markdown:

---
title: Q4 Performance Review
subtitle: Engineering Division
author: Jane Smith
date: January 2026
---

# Executive Summary

Revenue grew 23% year-over-year...

# Technical Achievements

## Infrastructure Scaling

We migrated 40 services to the new platform...

Expected output (using brand-bluewaves):

  1. Cover page: cover-front.pdf template with "Q4 Performance Review" in title zone (display style, text-inverse), "Engineering Division" in subtitle zone, "JANUARY 2026" in date zone, Bluewaves logo in logo zone
  2. Content pages: Body text on page-content.pdf template, heading font for h1/h2, body font for paragraphs, document title in header zone, page numbers in footer zone
  3. Section dividers: section-divider.pdf template inserted before "Executive Summary" and "Technical Achievements" with section titles in zones
  4. Back cover: cover-back.pdf template as final page

Fallback Mode

When no brand kit is specified, the pipeline uses assets/fallback/ assets:

  • Colors: text #1A1A1A, headings #1A1A1A, muted #7A7A7A
  • Fonts: Noto Sans (body/heading), Fira Code (code) — production fonts, not placeholders
  • Layout: A4, 25mm margins, 11pt body
  • No cover pages or section dividers in fallback mode

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.77%
按下载量换算24

Claude

28.93%
按下载量换算21

Cursor

18.59%
按下载量换算13

Gemini CLI

9.86%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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