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.
littlebearappsPipes a download into a shellllms.txtlittlebearapps/untether/llms-full.txt
stream, continue the conversation 3. [Interactive control](tutorials/interactive-control.md) — approve or deny Claude Code's actions, review plans, answer questions 4. [Projects & branches](tutorials/projects-and-branches.md) — target repos from anywhere, run on feature
orwa-mahmoudllms.txtorwa-mahmoud/adapttable/llms-full.txt
# AdaptTable — full documentation > AdaptTable v3 documentation: a framework-neutral data engine in @adapttable/core, headless
khaskyllms.txtkhasky/awesome-agents-md/llms.txt
/khasky/awesome-agents-md/blob/main/AGENTS.md): the always-loaded ruleset — scope and precedence, boundaries, security, the verification gate, the coding ladder, communication style, the commit-proposal habit; the workflow and debugging procedure loads from rules/workflow.md
StayCurious-Xuanllms.txtStayCurious-Xuan/wayfinder/website/llms.txt
turns AI collaboration into a reviewable visual history of goals, attempts, branches, evidence, and outcomes. Wayfinder is designed for AI-assisted research, writing, design, coding, and other project work. Codex
QEDGenReads credentialsllms.txtQEDGen/solana-skills/docs/llms-full.txt
hardest goals, measured in minutes to hours. ### Supported Agents Works with Claude Code, Codex, Cursor, Windsurf, and any agent supporting the [Agent Skills](https://agentskills.io) spec. ## CLI Commands
firelock-aiPipes a download into a shellllms.txtfirelock-ai/kin/llms.txt
agents and the people who build with them. It stores source, recorded code relationships, and versioned history as repository state. The graph is the repository model, not a search index
VyomKulshresthallms.txtVyomKulshrestha/Heliox-OS/llms.txt
open-source desktop AI system-control agent. This index routes language models and coding agents to the repository's authoritative product, architecture, safety, and contribution documentation. Important interpretation notes: - Heliox
karthikrshetllms.txtkarthikrshet/Career-Agents/llms-full.txt
# Career-Agents Full Prompt Manifest This document bundles the complete details, prompt rules, workflows
karthikrshetllms.txtkarthikrshet/Career-Agents/llms.txt
find them. Stage: Growth | Level: Senior | Industry: Tech Skills: Software Engineering, System Design, Architecture, Code Review, Engineering, Skeptical of shortcuts - Code Reviewer (ID: code-reviewer | Path: engineering/code-reviewer.md) Description: A senior
johnxiellms.txtjohnxie/awesome-code-docs/llms-full.txt
# Awesome Code Docs (Full Tutorial Index) Main repository: - https://github.com/johnxie/awesome-code-docs ## A2A Protocol Tutorial
OptimNowllms.txtOptimNow/cloud-finops-skills/llms.txt
channels, rate mechanics, licensing - [finops-ai-dev-tools.md](https://raw.githubusercontent.com/OptimNow/cloud-finops-skills/main/plugins/cloud-finops/skills/cloud-finops/references/finops-ai-dev-tools.md): AI coding tools (Cursor, Claude Code, Copilot, Codex, Windsurf) - [finops-anthropic.md](https://raw.githubusercontent.com/OptimNow/cloud-finops-skills/main/plugins/cloud-finops/skills/cloud-finops/references/finops-anthropic.md): Anthropic/Claude billing and governance - [finops-aws.md](https://raw.githubusercontent.com/OptimNow/cloud-finops-skills/main/plugins/cloud-finops/skills/cloud-finops/references/finops-aws.md):
cgallicllms.txtcgallic/kai-cmo-harness/prod-static/llms.txt
Claude Code and Codex, built by Connor Gallic, for business owners and lean teams. It helps teams build a marketing plan, audit gaps, create campaign work, review work before launch
fastagent-shReads credentialsllms.txtfastagent-sh/fastagent/llms.txt
install, and product paths. - [AI-guided start](https://fastagent.sh/start.md): executable instructions for a coding agent. - [Documentation index](https://fastagent.sh/docs/): the full documentation map. ## Guides - [Overview](https://fastagent.sh/docs/overview/):
m13vReads credentialsllms.txtm13v/social-autoposter/public/llms.txt
messages`: Individual messages in DM conversations (inbound and outbound) - `drafts`: Content awaiting client review with status workflow - `threads` and `thread_comments`: Discovered threads and their comments - `campaigns`: Named posting campaigns
ohad6kReads credentialsllms.txtohad6k/VibeRaven/llms-full.txt
source local Studio and repository check for AI-built apps. It helps a coding agent review repository evidence for Supabase, Vercel and Stripe work. Local checks are free, run without
ohad6kReads credentialsllms.txtohad6k/VibeRaven/llms.txt
source local Studio and repository check for AI-built apps. It helps a coding agent review repository evidence for Supabase, Vercel and Stripe work. Local checks are free, run without
QWED-AIllms.txtQWED-AI/qwed-verification/llms.txt
QWED has 13 engines and 9 policy guards. Proof engines (Math, Logic, SQL, Code, Schema) can return VERIFIED with a proof_ref; the Symbolic engine (CrossHair) searches for counterexamples
assaiollms.txtassaio/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
crp4222Reads credentialsllms.txtcrp4222/PrivAiTe/llms-full.txt
Samsung's [CredData](https://github.com/Samsung/CredData) (real code from 154 public repositories PrivAiTe's model never trained on, credentials reviewed by hand), `onnx` fully masks 60% of the credentials
sandraschiDeletes or force-pushesllms.txtsandraschi/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
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.
