菜单
This skill should be used when users need to convert PDFs (especially with tables or figures), mentions 'convert', 'PDF', 'document processing', has complex academic papers to import, or asks about document conversion options.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
Examine philosophical assumptions and check for methodological coherence. Use when users question their philosophical stance, their language contradicts their declared epistemology, they are moving between stages and want to verify coherence, or something feels 'off' about their analytical approach. Checks language coherence, method-epistemology alignment, and AI relationship consistency.
Shared infrastructure for Interpretive Orchestration. Provides state management, configuration I/O, batched file operations, and enforcement utilities for qualitative research projects. Use when working with .interpretive-orchestration/config.json, checking stage completion, updating progress, or validating project setup.
Dialogical coding for qualitative research. Acts as thinking partner in Stage 1 (never suggests codes, only asks questions) and reflexive coding partner in Stage 2 (4-stage visible reasoning). Use when coding interview transcripts, field notes, or other qualitative data.
Initialize a new qualitative research project with Socratic onboarding. Guides researchers through philosophical foundation establishment via interactive dialogue. Use when starting a new project, setting up epistemic stance, or configuring methodological preferences.
Deep reasoning and paradox navigation via MCP tools. Integrates Sequential Thinking for systematic analysis and Lotus Wisdom for navigating contradictions. Use when planning complex analysis, working through theoretical tensions, or making methodological decisions.
Progress dashboard and navigation for Interpretive Orchestration. Shows current stage, progress indicators, next steps, and atelier status. Use when checking progress, navigating between stages, or planning next steps.
基于 SOC 职业分类
| name | document-conversion |
| description | This skill should be used when users need to convert PDFs (especially with tables or figures), mentions 'convert', 'PDF', 'document processing', has complex academic papers to import, or asks about document conversion options. |
Robust PDF and document conversion with intelligent tool selection. Chooses the best available conversion method based on document complexity and MCP availability.
Use this skill when:
| Feature | MinerU (Optional) | Manual Conversion |
|---|---|---|
| API Key Required | Yes (MINERU_API_KEY) | No |
| PDF Accuracy | 90%+ (VLM mode) | Varies |
| Table Extraction | Excellent | Manual cleanup |
| Figure Handling | Extracts + describes | Manual description |
| Formula Recognition | Yes | Limited |
| Multi-column | Excellent | Manual formatting |
| Cost | Pay per page | Free |
Is the document a PDF with tables/figures?
├── Yes, complex tables
│ └── MinerU available?
│ ├── Yes → Use MinerU (vlm mode)
│ └── No → Manual conversion + review
├── Yes, simple formatting
│ └── Manual conversion or external tool
└── No, other format
└── Is it audio?
├── Yes → External transcription service
└── No → Manual conversion
Use mineru_parse to convert this academic paper:
- URL: https://example.com/paper.pdf
- Model: vlm (for 90% accuracy)
- Enable: formula, table recognition
For simple PDFs without MinerU:
1. Use Adobe Acrobat to export to Word/text
2. Or open in Google Docs for auto-OCR
3. Review and clean up formatting
For multiple PDFs:
1. Check which have complex tables (use MinerU if available)
2. Process simple ones with manual conversion
3. Queue complex ones for MinerU batch if API key available
Parse only specific pages:
mineru_parse({
url: "https://...",
pages: "1-10,15,20-25"
})
Process multiple documents:
mineru_batch({
urls: ["url1", "url2", "url3"],
model: "vlm"
})
After conversion, verify:
If MinerU unavailable:
For audio files, use external services: