Calling](https://derob98.github.io/ailmanac/docs/api/tool-use): Define tools, run the agentic loop, and handle results.
- [Vision, PDF & File Input](https://derob98.github.io/ailmanac/docs/api/vision-pdf-files): Send images and documents, and reuse uploads by file
that allows users to generate and export monthly performance reports in PDF format." \
-a "drew" \
-l "feature,frontend,backend" \
--priority "high" \
--ac "Report generation logic is accurate." \
--ac "Users
scenes), document-scan enhancement (13 modes), and image-to-Office conversion (Word / Excel / PDF). A single API key unlocks all 30+ scenarios; input can be a URL, local file
each finding with the fix ready.
- Render: floor plans as PDF, SVG and PNG, elevations, sections, aerial views,
path-traced photos and walkthrough videos, all on the CPU when there
documents on your own laptop.
Topics: OCR, LLM, Vision Language Models, AI Engineering, Python, PDF
- [From DOI to Markdown: A Two-Repo Pipeline for Faster Research](https://www.ahnafnafee.dev/blog/doi-paper-scraper) — published
known key paper. Plugins: thesis.
- [paper-reader](https://github.com/KhaledSaeed18/dotclaude/tree/main/skills/academic/paper-reader) (academic): Read one paper (PDF, arXiv id, DOI, or text) and produce a structured note: the claim, method, evidence, limitations
ancient Greek works (≈44 million words of Greek text),
> published as PDF, Markdown, and plain text in the GitHub data store.
This GitHub Pages site is the **agent entry point
author (`eul_wid` in brackets). Fetch the raw URLs directly; swap the extension for PDF or plain text — every work ships as .md, .txt, and .pdf under the same name
ancient Greek works (≈44 million words of Greek text, plus English metadata), published as PDF, Markdown, and plain text. Data store for [Eulogikon](https://eulogikon.org).
This repository is a flat
Mermaid diagrams, self-contained HTML artifacts, normalized PNG/JPEG images, and default-off native-text PDF, typed XLSX, and searchable DOCX artifacts. It searches authoritative or bounded derived text and metadata