qcad-mcp
sandraschi/qcad-mcp/llms-full.txt
wall_thickness=0.2) - `plan(op="export", file_name, format, output_name)` -- DXF to SVG, PDF, PNG. QCAD Pro first, ezdxf fallback. Example: await plan(op="export", file_name="floorplan.dxf", format
How real projects summarise themselves for language models.
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
sandraschi/qcad-mcp/llms-full.txt
wall_thickness=0.2) - `plan(op="export", file_name, format, output_name)` -- DXF to SVG, PDF, PNG. QCAD Pro first, ezdxf fallback. Example: await plan(op="export", file_name="floorplan.dxf", format
ssdeanx/secure-rag-multi-agent/llms.txt
src/mastra/tools/finnhub-tools.ts): Finnhub financial data integration - [src/mastra/tools/graph-rag-query.tool.ts](src/mastra/tools/graph-rag-query.tool.ts): Graph-based RAG query processing - [src/mastra/tools/pdf-data-conversion.tool.ts](src/mastra/tools/pdf-data-conversion.tool.ts): PDF data extraction and conversion - [src/mastra/tools/polygon-tools.ts](src/mastra/tools/polygon-tools.ts): Polygon.io financial market data - [src/mastra/tools/process-analysis.tool.ts](src/mastra/tools/process-analysis.tool.ts): Process analysis
akustikrausch/gonzales/llms.txt
configuration | | PUT | /api/v1/config | Update configuration | | GET | /api/v1/export/csv | Export as CSV | | GET | /api/v1/export/pdf | Export as PDF report | | GET | /api/v1/qos/evaluate/{id} | QoS evaluation | | POST | /api/v1/topology/analyze | Network topology analysis | ## Home Assistant Sensors - sensor.gonzales
heznpc/AirMCP/llms.txt
list_slides, keynote_get_slide, keynote_add_slide, keynote_set_presenter_notes, keynote_export_pdf, keynote_start_slideshow, keynote_close_document - **Location** (2 tools): get_current_location, get_location_permission
oyi77/1ai-skills/llms.txt
testing, Git workflows - **Content** (108 skills) — Video generation, audio, design, writing, document creation (docx, pdf, pptx, xlsx), UI design, themes - **Mindset** (55 skills) — Negotiation, leadership, critical thinking, emotional intelligence, productivity
thevibeworks/claude-reads-hn/llms.txt
# Claude Reads HN > AI-curated HN digests every 5 hours. Check story IDs before
jimy-r/agent-workspace-architecture/docs/llms-full.txt
# Agent Workspace Architecture — full text > A redacted reference for building agent workspaces: the roles
mateffy/struktur/docs/llms-full.txt
image needs no build toolchain. Native modules such as `sharp` and the PDF parsers are loaded from `node_modules` at runtime, which is why the CLI is installed
mateffy/struktur/docs/llms.txt
data to enrich existing records. - [Extract Invoice Data](/docs/examples/extract-invoice): Extract structured invoice data from PDF or text files. - [Extract Real Estate Listings](/docs/examples/extract-realestate): Extract property data from PDF real estate
techhorizonlabs/thl-open/llms.txt
report-kit](https://github.com/techhorizonlabs/thl-open/tree/main/tools/audit-report-kit): turns an audit's JSON into a branded client PDF plus compile-checked JSON-LD, ready to paste. - [GEO skill suite](https://github.com/techhorizonlabs/thl-open/tree/main/skills): citability
Brandcode-Studio/brandsystem-mcp/llms.txt
what's already true. ## Key capabilities - Adopt: brand_start accepts a website URL, PDF guidelines, Figma file key, or a Brandcode Studio brand — and discovers local sources (guideline PDFs, token
microsoft/vivainsights-py/docs/llms.txt
microsoft.github.io/vivainsights-py/_api/vivainsights.network_p2p.html): `network_p2p()`; input: Person-to-person query; return_type: plot, plot-pdf, table, data, network, sankey; privacy: Network outputs can identify individuals; apply organizational privacy and disclosure policy
skulitom/Nestbolt/llms.txt
local MCP server): vector and raster image editing for diagrams; SVG in, SVG and PDF
KitchenSink4AI/KitchenSink4Word/docs/llms.txt
track_changes`, `com_refresh_fields`, `com_validate_opens_clean`, `com_multi_document`, `com_import_pdf`, `com_export_pdf`, `live_scroll_to`, `live_repair`, `com_proofing_errors`, `com_readability_statistics`, `update
daftAI2026/awesome-jev/public/llms-full.txt
# Awesome JEV > Awesome JEV (awesome-jev): a free GitHub directory for TypeSafe Jev / System
shoubhiksaha/notion-multipart-uploader/docs/llms-full.txt
upload", file_upload: { id: fileId } }; // As a block on a page: image, video, audio, pdf or file. inferBlockType picks the right one for the file. const blockType = inferBlockType("recording.mp4"); // "video
Dahliyaal/justicelibre/web/llms.txt
article), `search_annuaire` (adresses email publiques d'administrations, avec source officielle et preuve PDF archivée), plus les moteurs par source (`search_admin`, `search_judiciaire_libre`, `search_conseil_etat`, `search_cedh
minicoursegenerator/skills-for-course-creators/llms-full.txt
policy documents. - Audience: instructional designer, course creator - License: See source - First party: false pdf - Source: https://github.com/anthropics/skills/tree/main/skills/pdf - Owner: anthropics - Summary: Extract, inspect, merge, and annotate PDF source material before
openapi/openapi-llm-wiki/llms-full.txt
currency exchange rates. | | .it Domains | `https://domains.altravia.com` | [services/domains.md](services/domains.md) | Register and manage .it domains. | | PDF | `https://pdf.openapi.it` | [services/pdf.md](services/pdf.md) | HTML/URL to PDF (renders JavaScript). | ## Deprecation summary | Deprecated API | Replacement | |---|---| | OAuth
openapi/openapi-llm-wiki/llms.txt
raw.githubusercontent.com/openapi/openapi-llm-wiki/main/knowledge/services/oauthv2.md): base URL https://oauth.openapi.com, OpenAPI spec https://raw.githubusercontent.com/openapi/openapi-llm-wiki/main/knowledge/oas/oauthv2.openapi.json - [HTML to PDF](https://raw.githubusercontent.com/openapi/openapi-llm-wiki/main/knowledge/services/pdf.md): base URL https://pdf.openapi.it, OpenAPI spec https://raw.githubusercontent.com/openapi/openapi-llm-wiki/main/knowledge/oas/pdf.openapi.json - [Pec (Posta Elettronica Certificata
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.