source status block |
| `GET /paper/:id` | **$0.003** | Full metadata, abstract, TL;DR, open-access PDF link, plus the top citing works and the reference list |
| `POST /bibliography` | **$0.005** | Paste-ready
Rate-shop every carrier and buy the label in two paid calls: the label PDF comes back base64 in the response body.
`POST /rates` prices a parcel across every carrier
preserved. Paste a YouTube link, choose a report style, and export a polished HTML, PDF, Markdown, or JSON artifact. Use free Private mode with your own OpenAI key or optional
incomplete`. `agenda-intelligence review ` loads caller-selected local UTF-8, Markdown, DOCX, or optional PDF sources and renders the same result as reviewer-facing Markdown or JSON without repeating full
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
814mo agoReviewMountCreate a free account to mount
local OCR engine I built with a browser interface, flexible vision-model support, and PDF, HTML, Markdown, and text export.
Topics: OCR, LLM, Vision Language Models, AI Engineering, Python, PDF
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
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
local MCP server): vector and raster image editing for diagrams; SVG in, SVG and PDF out.
- [Nestbolt](https://github.com/skulitom/Nestbolt): sibling tool (same author, MIT, local MCP server): 2D nesting
source search.
- `get_paper(doi, id)`: Fetches paper abstract, DOI, and open-access PDF.
- `get_references(doi)`: Fetches paper references via CrossRef.
- `get_citations(doi)`: Fetches citing works via OpenAlex
does
- Multi-format: Markdown is first-class (rendered, linked, searched); standalone HTML decks, PDF, Word `.docx`, images and JSON are previewed inline, rendered in the browser.
- AI-native
learning labs and simulations](https://raw.githubusercontent.com/baney75/myelinate/main/skills/lab/SKILL.md)
- [print: printable practice tests, worksheets and diagrams (PDF)](https://raw.githubusercontent.com/baney75/myelinate/main/skills/print/SKILL.md)
- [flashcards: Quizlet, Anki and Obsidian decks](https://raw.githubusercontent.com/baney75/myelinate/main/skills/flashcards/SKILL.md)
- [game: typed exam
resume skill for AI agents. Builds a one-page, parser-proof A4 PDF resume (and an optional cover letter) from an old Word file, a PDF, a LinkedIn export