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Parse PDF files to markdown using GLM-OCR via Ollama locally. Converts each page to an image, runs OCR, and outputs clean markdown. Use when the user wants to extract text from a PDF.
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Basierend auf der SOC-Berufsklassifikation
Generates a feature spec for an existing codebase via an interview workflow. Use when the user wants to write, draft, or scope a feature spec — phrases like "write a feature spec", "spec out this feature", "draft a spec for X", "I want to add X to this codebase", "let's plan a new feature", or "scope out this feature". Do NOT use for bug fixes, pure refactors with no behavior change, or greenfield projects with no existing code.
Produces a long-form essay draft grounded in a user-supplied directory of research documents via an interview workflow. Use whenever the user wants to "draft an essay from my research", "write an essay from these notes", "turn this research directory into an essay", "I've been collecting notes on X, help me draft an essay", or "draft a long-form piece using these sources". Do NOT use for: one-shot summarization of a single document, short notes or tweets under ~600 words, pure research-findings synthesis with no drafting, or essay drafting when there is no research corpus to ground in.
Creates a new Claude Code skill that follows the Anchored Interview pattern — ground in a CORPUS, run an interview anchored by that grounding, then produce a single ARTIFACT. Use whenever the user wants to scaffold, generate, or design an interview-style skill — phrases like "make me an anchored interview skill", "create a skill that interviews me about X and produces Y", "scaffold a skill that reads my <corpus> and writes a <artifact>", "I want a skill for spec/draft/plan/findings creation via interview", or any request to build a skill that has the ground-then-ask-then-act shape. Do NOT use for: running an anchored interview on a specific task (this skill *creates* such skills, it doesn't perform them — for that, use or create the appropriate task-specific skill); editing an existing SKILL.md; one-shot transformations with no judgment calls; or skills where there is no corpus to ground in.
Use the Obsidian CLI to manage knowledge in an Obsidian vault — daily notes, search, tasks, tags, link graph analysis, properties, templates, and file operations. This skill should be used when the user asks to interact with their Obsidian vault, manage daily notes, search notes, manage tasks, explore tags or backlinks, set properties, use templates, or perform vault maintenance.
Generate QR codes from URLs, text, or other data and save them as SVG, PNG, EPS, or PDF files. This skill should be used when the user asks to create, generate, or make a QR code for any content such as website URLs, text strings, WiFi credentials, contact info, or other data. Triggers include mentions of 'QR code', 'QR', 'barcode for a link', or requests to make a scannable code. Supports customization of colors, size, error correction level, and output format.
Create professional PowerPoint presentations. Use when asked to "create a PowerPoint", "make a presentation", "build slides", or generate pptx files.
| name | pdf-ocr |
| description | Parse PDF files to markdown using GLM-OCR via Ollama locally. Converts each page to an image, runs OCR, and outputs clean markdown. Use when the user wants to extract text from a PDF. |
| allowed-tools | Bash, Read, Write, AskUserQuestion |
| argument-hint | <path-to-pdf> |
Convert PDF files to markdown using local OCR. Each page is rendered to an image, processed through GLM-OCR running on Ollama, and the recognized text is assembled into a single markdown file.
Run these checks and report a status table. If any required dependency is missing, use AskUserQuestion to offer installation.
| Dependency | Check | Install |
|---|---|---|
| Ollama running | curl -sf http://127.0.0.1:11434/api/tags > /dev/null | Cannot auto-start. Tell user to start Ollama and stop. |
glm-ocr model | Check that Ollama tags response contains glm-ocr | ollama pull glm-ocr |
pdftoppm | which pdftoppm | brew install poppler |
pdfinfo | which pdfinfo | Comes with poppler |
sips | which sips | Built-in on macOS. Warn if missing. |
Check all five in a single Bash call:
echo "=== Ollama ===" && curl -sf http://127.0.0.1:11434/api/tags && echo "" && echo "=== pdftoppm ===" && which pdftoppm && echo "=== pdfinfo ===" && which pdfinfo && echo "=== sips ===" && which sips
Parse the output:
glm-ocr is not in the tags list: ask user if they want to pull it (ollama pull glm-ocr).pdftoppm or pdfinfo missing: ask user if they want to install poppler (brew install poppler).sips missing: warn user (built-in on macOS, no auto-install).If all checks pass, proceed to Phase 2.
Validate the argument is a path to an existing .pdf file. If no argument was provided, print usage and stop:
Usage:
/pdf-ocr <path-to-pdf>Converts a PDF to markdown using local GLM-OCR via Ollama.
Determine the output path: same directory as the PDF, same base name with .md extension.
Get the page count to decide foreground vs background execution:
pdfinfo "<pdf_path>" | grep "^Pages:"
python3 ${CLAUDE_PLUGIN_ROOT}/skills/pdf-ocr/scripts/pdf_ocr.py "<input.pdf>" "<output.md>"
timeout: 600000.After the script completes:
.md file to show a preview."Text Recognition:" — other prompts degrade quality<!-- Page N --> marker with --- separators between pages/tmp/claude/ocr_pages and cleaned up per-page