HIGLab / site
M1zz/HIGLab/site/llms-full.txt
# HIG Lab — AI Reference 합본 (50개 프레임워크) > 이 문서는 50개 Apple 프레임워크 AI Reference를
How real projects summarise themselves for language models.
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Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
M1zz/HIGLab/site/llms-full.txt
# HIG Lab — AI Reference 합본 (50개 프레임워크) > 이 문서는 50개 Apple 프레임워크 AI Reference를
M1zz/HIGLab/site/llms.txt
/HIGLab/ai-reference/coreimage.md): 이미지 필터 - [PencilKit](https://m1zz.github.io/HIGLab/ai-reference/pencilkit.md): Apple Pencil 드로잉 - [PDFKit](https://m1zz.github.io/HIGLab/ai-reference/pdfkit.md): PDF 뷰어/편집 - [AVFoundation](https://m1zz.github.io/HIGLab/ai-reference/avfoundation.md): 카메라, 오디오 - [AVKit](https://m1zz.github.io/HIGLab/ai-reference/avkit.md): 비디오 재생 - [PhotosUI
assafkip/huntkit/llms.txt
/q-new-case` - User is capturing a URL as evidence → route through `skills/osint/scripts/capture-evidence.sh` (Wayback + archive.today + Chrome PDF + SHA-256) - User needs infrastructure recon (WHOIS, DNS, Wayback) → use `osint-infra` MCP - User needs
orwa-mahmoud/adapttable/llms.txt
widths, sheet names, grouped/tree outline levels, scopes, Node-side builds, bundle isolation - [React table PDF export and print layout](https://adapttable.orwamahmoud.com/react/export-pdf/): PDF writers, print layout, font embedding
karthikrshet/Career-Agents/llms-full.txt
standard fonts or characters. **Expected outcomes:** A parse-safe resume file (preferably .docx or PDF generated from text-based source), and a short notes section listing parsing risks. **Default requirements
karthikrshet/Career-Agents/llms.txt
# Career-Agents LLM Discovery Catalog This file contains the map of available agents, operational
skulitom/Pixelbolt/llms.txt
Local vector and raster image editing for diagrams and illustrations; SVG in, SVG and PDF out. - [Nestbolt](https://github.com/skulitom/Nestbolt): 2D nesting of parts on sheets for laser, CNC, plasma
ShaishavMaisuria/research-paper-lifecycle-skills/docs/llms.txt
posters, or PhD paper productivity tools. Do not describe it as a paper corpus, PDF dataset, paywall bypasser, autonomous submission bot, or replacement for human authorship
AIPMAndy/PPTskill/llms.txt
PPTskill 是一个生成原生可编辑 PPTX 的 AI Skill,基于 ppt-master 二次开发。适合需要快速做汇报、答辩、产品发布演示的人。它把 PDF、DOCX、网页或 Markdown 转成真正的 PowerPoint 对象(DrawingML),每个元素都能直接编辑,可在 Claude Code、OpenClaw、Cursor 中使用。 作者
leandrodaf/3d-new-era-ai/site/llms.txt
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
bestagentkits/ak-render/llms.txt
remote-only `artifact-export` tool returns signed, expiring download URLs for `html`, `png`, `pdf` or the retained `spec` (URLs only, never the bytes). Discovery tools (`catalog`, `search-catalog`, `describe
sandraschi/calibremcp/llms-full.txt
FORMATS` | **Chunk RAG only** (`rag_index_build`): comma-separated formats to skip. **Unset → excludes PDF**. Metadata RAG is unaffected (same for PDF/EPUB). Set **empty** to index PDFs in chunk
The-Best-Codes/agent-one/.agents/docs/tauri.app/llms-full.txt
This is the full developer documentation for Tauri # Tauri 2.0 > The cross-platform app
xiehuan123/dsh-deepread/site/llms.txt
DeepRead is an open-source evidence-first reading tool for AI agents. DeepRead 将公众号文章、PDF、书籍和文档集整理成带原文证据、置信度、知识地图与复习问题的报告。 ## Canonical identity - Name: DeepRead 证据精读 - Package: dsh-deepread - License: MIT - Repository
yerdaulet-damir/awesome-solo-ai/docs/llms.txt
kdpbook.io): describe a book in a chat and get the Amazon KDP files (print PDF, full-wrap cover, Kindle EPUB, listing sheet); includes 2,000 free credits at signup, free
microsoft/Hybrid-Computer-Use/llms.txt
Unified Programmatic, Semantic, and Visual Interface for General Agents", 2026. A copy of the PDF is in the repository: [paper/Hybrid-Computer-Use.pdf](https://github.com/microsoft/Hybrid-Computer-Use/blob/main/paper/Hybrid-Computer-Use.pdf) - [README](https://github.com/microsoft/Hybrid-Computer-Use/blob/main/README.md): overview, results, quick
mindcloud-inc/universal-api-reference/llms.txt
# MindCloud App Reference > Reference documentation for 3231 app APIs (77070 actions), all callable through
ssdeanx/AgentStack/llms.txt
list of agents and change log - [Tools Documentation](src/mastra/tools/AGENTS.md): Tool catalogue (financial, RAG, scraping, PDF, utilities) - [Workflows Docs](src/mastra/workflows/AGENTS.md): Multi-step workflow patterns and examples - [Config & Provider Docs](src/mastra/config/AGENTS.md): Model
ahmershahdev/ahmershahdev/llms-full.txt
call: https://calendly.com/syedahmershah - Contact form (reCAPTCHA-protected, rate-limited): https://ahmershah.dev/#contact - Resume (PDF): https://ahmershah.dev/docs/syed-ahmer-shah-resume.pdf ## Experience - Full Stack Developer (Internship), XCL Technologies, Hyderabad, Sindh, Pakistan · On-site
ahmershahdev/ahmershahdev/llms.txt
# Syed Ahmer Shah > Hi, I'm Ahmer — a software engineer in Hyderabad, Pakistan. I
A markdown file at a website's root that gives language models a short guide to the site and links to the pages worth reading.
The same idea with the content included, so an agent can read the documentation in one request.
Agents and tools that fetch documentation on someone's behalf. It's a proposal, not a standard, and support varies.
Start with a one-line summary, then sections of links with a sentence each. The examples here show what real projects do.