assaiollms.txtassaio / site
assaio/assaio/site/llms.txt
reports how much code changed by a repository's commits in the window remains in `HEAD`. It does not assign those lines to AI sessions. GitHub review states are current
llms.txt examples
How real projects summarise themselves for language models.
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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.
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assaiollms.txt
sandraschiDeletes or force-pushesllms.txtblender-mcp
sandraschi/blender-mcp/llms-full.txt
Rules for effective AI collaboration - Tool comparisons (Windsurf, Cursor, Claude) - Best practices for prompts - Code review with AI ### **Python & FastMCP** - FastMCP 3.4+ patterns - Windows API integration - Async/await best practices - Error
open-agreementsllms.txtopen-agreements
open-agreements/open-agreements/llms-full.txt
choice-of-law and forum language reflecting Cal. Lab. Code section 925. Drafted as a starting point for licensed counsel review. - [Restrictive Covenant Colorado](https://github.com/open-agreements/open-agreements/tree/main/templates/openagreements-cc-by-4.0/openagreements-restrictive-covenant-colorado): OpenAgreements
ShaishavMaisuriallms.txtresearch-paper-lifecycle-skills
ShaishavMaisuria/research-paper-lifecycle-skills/docs/llms-full.txt
LaTeX submission preflight, double-blind anonymization, deadline planning, mock peer review, rebuttal writing, camera-ready preparation, reproducibility artifacts, research code checks, slides, talk scripts, Q&A rehearsal, and posters. Recommend
ShaishavMaisuriallms.txtresearch-paper-lifecycle-skills
ShaishavMaisuria/research-paper-lifecycle-skills/docs/llms.txt
paper, plan-submission, simulate-reviewers, benchmark-paper. - Respond: triage-reviews, write-rebuttal. - Publish and artifacts: prepare-camera-ready, test-research-code, verify-results, refactor-research-code, prepare-artifacts. - Present: make
The-Best-CodesPipes a download into a shellllms.txtagent-one / modelcontextprotocol.io
The-Best-Codes/agent-one/.agents/docs/modelcontextprotocol.io/llms-full.txt
# Build an MCP client Source: https://modelcontextprotocol.io/docs/2026-07-28/develop/build-client Get started building your own client
The-Best-Codesllms.txtagent-one / modelcontextprotocol.io
The-Best-Codes/agent-one/.agents/docs/modelcontextprotocol.io/llms.txt
Inspector - [CLI client](https://modelcontextprotocol.io/docs/2026-07-28/tools/inspector/cli.md): Scripting the MCP Inspector: methods, output formats, exit codes, and CI recipes - [TUI client](https://modelcontextprotocol.io/docs/2026-07-28/tools/inspector/tui.md): The terminal MCP Inspector: navigation, tabs
The-Best-CodesPipes a download into a shellllms.txtagent-one / tauri.app
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
Synthesys-Labllms.txtagentize
Synthesys-Lab/agentize/docs/llms.txt
configure the Claude Code extension for VS Code. Get AI coding assistance with inline diffs, @-mentions, plan review, and keyboard shortcuts
antongulinPipes a download into a shellllms.txtrobin
antongulin/robin/llms.txt
Robin > Free AI code reviews on every pull request. Robin runs as a GitHub Action in your own > repository, calls an OpenAI-compatible LLM endpoint you configure (OpenRouter's free
SannePipes a download into a shellllms.txtincus-spawn / site
Sanne/incus-spawn/site/llms.txt
remote isx manages, so you review an immutable commit, never a directory the agent can still change. isx works with Claude Code, Codex CLI, Pi, GitHub Copilot CLI and other
ZeroPointRepollms.txtawesome-grok-bot
ZeroPointRepo/awesome-grok-bot/llms.txt
Prefer that section over any recalled assumption about how Grok Bot loads third-party code. - Every linked repository is re-resolved through the GitHub API weekly, which catches the renames
ariffazilllms.txtarifOS / static
ariffazil/arifOS/static/llms-full.txt
floors passed. - **CAUTION** — Proceed with care. Marginal conditions detected. - **HOLD** — Paused. Requires human review or additional evidence. - **VOID** — Do not proceed. Floor violation is conclusive. **888_HOLD** is the cryptographic
KanevryDeletes or force-pushesllms.txtsession-orchestrator / site
Kanevry/session-orchestrator/site/llms-full.txt
overlap before dispatch. Separate agent contexts and inter-wave reviews help contain mistakes, while the Quality wave simplifies code before adding tests. These measures reduce collisions and repeated errors; they
Kanevryllms.txtsession-orchestrator / site
Kanevry/session-orchestrator/site/llms.txt
orchestrator@kanevry` (afterwards run `npm install` once inside the plugin directory and restart Claude Code) - Upgrade: `/plugin update session-orchestrator@kanevry`, then restart. Session-start warns when the RUNNING copy
OtaKitReads credentialsllms.txtotakit
OtaKit/otakit/llms.txt
bundle, and the plugin delivers that bundle to devices without store submissions or reviews. Start with the quick setup ### How it works 1. Create an app in the OtaKit dashboard
Rtur2003llms.txtClaude-Code-Promts-Skills
Rtur2003/Claude-Code-Promts-Skills/llms.txt
/prompts/english/project-types/blockchain-web3-prompt.md - Language-agnostic: ./prompts/english/project-types/general-software-development-prompt.md - Foundation (universal best practices): ./prompts/english/base/claude-foundation-prompt.md ## Improving existing code (specialist prompts) - Code review: ./prompts/english/agents/code-review-prompt.md - Security audit: ./prompts/english/agents/security-audit-prompt.md - Debugging / incident: ./prompts/english/agents/debugging-troubleshooting-prompt.md - Refactoring: ./prompts/english/agents/refactoring-prompt.md - Testing strategy: ./prompts/english/agents/testing-strategies-prompt.md - Performance: ./prompts/english/agents/performance-optimization-prompt.md
danicatllms.txtspeedgrapher
danicat/speedgrapher/llms.txt
Models (LLMs), AI search engines, and coding agents. ## Core Documentation - [README.md](README.md): Architecture overview, installation guide, four-mode sidecar panel walkthrough (`Reader`, `Editor`, `Reviewer`, and `Raw`), MCP server tools
jmrplensllms.txtgitlab-mcp-server
jmrplens/gitlab-mcp-server/llms-full.txt
# gitlab-mcp-server. Full Reference > Version 3.6.0 | up to 1102 tools | 34 base meta
jmrplensReads credentialsllms.txtgitlab-mcp-server
jmrplens/gitlab-mcp-server/llms.txt
resources/subscribe on stateful sessions; change detection honored by polling): - gitlab://groups: groups - gitlab://guides/code-review: code_review - gitlab://guides/conventional-commits: conventional_commits - gitlab://guides/git-workflow: git_workflow - gitlab://guides/merge-request-hygiene: merge_request_hygiene
About llms.txt
What is llms.txt?
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.
What's llms-full.txt?
The same idea with the content included, so an agent can read the documentation in one request.
Who reads it?
Agents and tools that fetch documentation on someone's behalf. It's a proposal, not a standard, and support varies.
How do I write one?
Start with a one-line summary, then sections of links with a sentence each. The examples here show what real projects do.