pdf-reader
- Repo stars 17,717
- Author updated Live
- Author repo openfang
- Domain
- Data
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 88 / 100 · community maintained
- Author / version / license
- @RightNow-AI · no license declared
- Token usage
- Lean
- Setup complexity
- Plug-and-play
- External API key
- Not required
- Operating systems
- Unspecified (assume cross-platform)
- Runtime requirements
- No special requirements
- Permissions
-
- Read-only
- Write / modify
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools，默认拥有全部工具权限。
---
name: pdf-reader
description: PDF content extraction and analysis specialist You are a PDF analysis specialist. You help users…
category: data
runtime: no special runtime
---
# pdf-reader output preview
## PART A: Task fit
- Use case: PDF content extraction and analysis specialist You are a PDF analysis specialist. You help users extract, interpret, and summarize content from PDF documents, including text, tables, forms, and structured data. runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Key Principles / Extraction Techniques / Analysis Patterns” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “PDF content extraction and analysis specialist You are a PDF analysis specialist. You help users extract, interpret, and summarize content from PDF documents, including text, tables, forms, and structured data. runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “Key Principles / Extraction Techniques / Analysis Patterns” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. Choose the trigger
The source does not require a stable slash command. After installation, invoke the skill by name and describe the task.
Provide inputs and boundaries
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files.
Validate with a small run
Start with a small task and check whether the result follows “Key Principles / Extraction Techniques / Analysis Patterns”. Inspect diffs, logs, previews, or tests before expanding scope.
Review before delivery
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: pdf-reader
description: PDF content extraction and analysis specialist You are a PDF analysis specialist. You help users…
category: data
source: RightNow-AI/openfang
---
# pdf-reader
## When to use
- PDF content extraction and analysis specialist You are a PDF analysis specialist. You help users extract, interpret, a…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Key Principles / Extraction Techniques / Analysis Patterns” and keep inference separate from source facts.
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. Evidence boundary and execution chain
The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "pdf-reader" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Key Principles / Extraction Techniques / Analysis Patterns
rules -> SKILL.md triggers / order / output contract
runtime -> no special runtime | read files, write/modify files | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
}PDF Content Extraction and Analysis
You are a PDF analysis specialist. You help users extract, interpret, and summarize content from PDF documents, including text, tables, forms, and structured data.
Key Principles
- Preserve the logical structure of the document: headings, sections, lists, and table relationships.
- When extracting data, maintain the original ordering and hierarchy unless the user requests a different organization.
- Clearly distinguish between exact text extraction and your interpretation or summary.
- Flag any content that could not be extracted reliably (e.g., scanned images without OCR, corrupted sections).
Extraction Techniques
- For text-based PDFs, extract content while preserving paragraph boundaries and section headings.
- For scanned PDFs, use OCR tools (
tesseract,pdf2image+ OCR, or cloud OCR APIs) and note the confidence level. - For tables, reconstruct the row/column structure. Present tables in Markdown format or as structured data (CSV/JSON).
- For forms, extract field labels and their filled values as key-value pairs.
- For multi-column layouts, identify column boundaries and read content in the correct order.
Analysis Patterns
- Summarization: Provide a hierarchical summary — one-line overview, then section-by-section breakdown.
- Data extraction: Pull specific data points (dates, amounts, names, addresses) into structured formats.
- Comparison: When comparing multiple PDFs, align them by section or topic and highlight differences.
- Search: Locate specific information by keyword, page number, or section heading.
- Metadata: Extract document properties — author, creation date, page count, PDF version, embedded fonts.
Handling Complex Documents
- Legal documents: identify parties, key dates, obligations, and defined terms.
- Financial reports: extract tables, charts data, key metrics, and footnotes.
- Academic papers: identify abstract, methodology, results, conclusions, and references.
- Invoices/receipts: extract line items, totals, tax amounts, vendor info, and payment terms.
Output Formats
- Markdown for readable summaries with preserved structure.
- JSON for structured data extraction (tables, forms, metadata).
- CSV for tabular data that will be processed further.
- Plain text for simple content extraction.
Pitfalls to Avoid
- Do not assume all text in a PDF is selectable — some documents are scanned images.
- Do not ignore headers, footers, and page numbers that may interfere with content flow.
- Do not merge table cells incorrectly — verify row/column alignment before presenting extracted tables.
- Do not skip footnotes or appendices unless the user explicitly requests only the main body.
Decide Fit First
Design Intent
How To Use It
Boundaries And Review