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.
Mnemosyne-OSReads credentialsllms.txtMnemosyne-OS/Mnemosyne-Neural-OS/llms.txt
produced with the OS default application (the same door the notes use for a pdf or a docx): under the user's home, on the host's safe-exte | `pluginHermesActions.ts
anthony-chaudharyPipes a download into a shellllms.txtanthony-chaudhary/dos-kernel/llms-full.txt
Where You Think"* — on the out-of-loop referee for agent fleets. A built PDF lives at [`paper/releases/`](https://github.com/anthony-chaudhary/dos-kernel/tree/master/paper/releases); the arXiv preprint is in preparation. Until the arXiv
event4u-appllms.txtevent4u-app/agent-config/llms.txt
# agent-config — Skill Index > A governed suite of skills, rules and commands for AI
jigarbhoye04Pipes a download into a shellllms.txtjigarbhoye04/MatlabMCP/llms-full.txt
Workflows, with full multi-modal support for Anthropic and OpenAI models. **Key features:** * PDF and Image support, based on MCP Native types * Interactive front-end to develop and diagnose Agent
CLOUDWERX-DEVPipes a download into a shellllms.txtCLOUDWERX-DEV/gpt-image-1-mcp/.docs/llms-full.txt
Workflows, with full multi-modal support for Anthropic and OpenAI models. **Key features:** * PDF and Image support, based on MCP Native types * Interactive front-end to develop and diagnose Agent
klausnersllms.txtklausners/course-builder/llms.txt
existing courses - Persistent agent memory for user preferences, failing domains and past courses - PDF export via pandoc + Typst - Research transparency metadata (sources read, failures, quorum stats) ## Installation In Claude Code
LeonTing1010Pipes a download into a shellllms.txtLeonTing1010/tap/docs/llms.txt
union (fetch / nav / wait / input / extract / cookies / tap / if / foreach / parallel / eval / tab / bookmark / pdf / highlight / screencast / point / notify). Self-declares its `$schema` URL for forward-compat. - **capture** — create
sandraschillms.txtsandraschi/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
ssdeanxReads credentialsllms.txtssdeanx/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
akustikrauschllms.txtakustikrausch/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
heznpcllms.txtheznpc/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
oyi77llms.txtoyi77/1ai-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
thevibeworksllms.txtthevibeworks/claude-reads-hn/llms.txt
# Claude Reads HN > AI-curated HN digests every 5 hours. Check story IDs before
jimy-rReads credentialsllms.txtjimy-r/agent-workspace-architecture/docs/llms-full.txt
# Agent Workspace Architecture — full text > A redacted reference for building agent workspaces: the roles
mateffyReads credentialsllms.txtmateffy/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
mateffyllms.txtmateffy/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
techhorizonlabsllms.txttechhorizonlabs/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-Studiollms.txtBrandcode-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
Microsoftllms.txtmicrosoft/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
skulitomllms.txtskulitom/Nestbolt/llms.txt
local MCP server): vector and raster image editing for diagrams; SVG in, SVG and PDF
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.
