AgentSkillsCN

pdf-fixture

生成包含已知且可提取内容的测试 PDF 固定样本。可创建包含章节、表格、图表、需求说明、公式及注释的 PDF 文件。当用户需要“创建测试 PDF”、“生成 PDF 固定样本”、“制作用于测试的示例 PDF”时,可使用此技能。

SKILL.md
--- frontmatter
name: pdf-fixture
description: >
  Generate test PDF fixtures with known, extractable content. Creates PDFs with
  sections, tables, figures, requirements, equations, and annotations. Use when
  user needs "create test PDF", "generate PDF fixture", "make sample PDF for testing".
allowed-tools: Bash, Read, Write
triggers:
  - create test PDF
  - generate PDF fixture
  - make sample PDF
  - PDF for testing
  - create PDF with tables
metadata:
  short-description: Create test PDF fixtures from JSON specs

PDF Fixture Generator

Generate deterministic test PDFs with known, extractable content for testing extraction pipelines.

Self-contained skill - auto-installs via uv run from git (no pre-installation needed).

Simplest Usage

bash
# Via wrapper (recommended - auto-installs)
.agents/skills/pdf-fixture/run.sh --example --name test_fixture

Common Patterns

Create from JSON spec file

bash
./run.sh --spec content_spec.json --name my_fixture

Create from inline JSON

bash
./run.sh \
  --inline '{"sections": [{"title": "Introduction", "content": [{"type": "text", "text": "Hello world"}]}]}' \
  --name inline_test

JSON Spec Format

json
{
  "style": "standard",
  "sections": [
    {
      "title": "1. Requirements",
      "level": 1,
      "content": [
        {"type": "text", "text": "This document describes requirements."},
        {"type": "requirement", "id": "REQ-001", "text": "System shall process in 1s"},
        {"type": "table", "columns": ["ID", "Name"], "rows": [["1", "Alice"], ["2", "Bob"]]},
        {"type": "equation", "latex": "E = mc^2", "label": "energy"},
        {"type": "figure", "description": "Architecture diagram"}
      ]
    }
  ]
}

Content Types

TypeRequired FieldsOptional
texttext-
requirementid, texttype (Functional/NonFunctional)
tablecolumnsrows (list or count)
equationlatex or equationlabel
figuredescriptionwidth, height
annotationannot_type (highlight/note/box)content

Output

Creates in fixtures/{name}/:

  • source.pdf - Generated PDF with known content
  • SPEC.md - Auto-generated with expected extraction values

Notes

The wrapper script (run.sh) automatically:

  • Installs extractor from git via uv run
  • Handles all dependencies (PyMuPDF, etc.)
  • No manual venv activation needed