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.
QVerisAIPipes a download into a shellllms.txtQVerisAI/QVerisAI/agent/llms-full.txt
connects the runtime to professional data and tools, so the agent can find services, review their supported scope, and call them. They are complementary: OpenClaw provides an execution environment, while
QVerisAIPipes a download into a shellllms.txtQVerisAI/QVerisAI/agent/llms.txt
QVeris helps agents find, connect to, and call professional data and tool services, then review usage - They are complementary: OpenClaw supplies a runtime, while QVeris supplies service discovery, access, calling
SentryReads credentialsllms.txtgetsentry/dotagents/docs/public/llms.txt
getsentry/skills find-bugs # Add multiple skills at once npx @sentry/dotagents add getsentry/skills find-bugs code-review commit # Add all skills from a repo npx @sentry/dotagents add getsentry/skills
FlorianBruniauxllms.txtFlorianBruniaux/claude-cowork-guide/llms.txt
dashboards (beta) and animations (Motion, beta, Team and Enterprise) from any conversation - Execute task code in an isolated environment ## Boundaries to Keep in Mind - Folder access, the built-in browser
FlorianBruniauxllms.txtFlorianBruniaux/claude-cowork-guide/machine-readable/llms.txt
dashboards (beta) and animations (Motion, beta, Team and Enterprise) from any conversation - Execute task code in an isolated environment ## Boundaries to Keep in Mind - Folder access, the built-in browser
sepehr071llms.txtsepehr071/awesome-iran-mcp/llms.txt
tools) - [.mcp.json](https://raw.githubusercontent.com/sepehr071/iran-mcp/main/.mcp.json): config for all servers - [marketplace.json](https://raw.githubusercontent.com/sepehr071/iran-mcp/main/.claude-plugin/marketplace.json): Claude Code plugin marketplace, one plugin per server plus bundles - [PLUGINS.md](https://raw.githubusercontent.com/sepehr071/iran-mcp/main/PLUGINS.md): plugins and skills
vinkius-labsReads credentialsllms.txtvinkius-labs/mcp-fusion/docs/llms.txt
# MCP Fusion > fusion is the TypeScript framework for production MCP servers. MVA architecture, structured
surendranbPipes a download into a shellllms.txtsurendranb/google-analytics-mcp/docs/llms-full.txt
error. | What varies | Values across these clients | |---|---| | Root key | `mcpServers` (most clients), `servers` (VS Code), `context_servers` (Zed), `mcp` (OpenCode), `mcp_servers` (Hermes), `mcp.servers` (OpenClaw, ZCode) | | Environment key | `env` (most
oliver-zehentleitnerDeletes or force-pushesllms.txtoliver-zehentleitner/keep-the-why/llms.txt
framework already governs how the work gets done (brainstorming, planning, systematic debugging, TDD, code review), that workflow runs first; Keep the Why doesn't compete for that role, and preserves
KbWenllms.txtKbWen/agentic-os/llms.txt
agents. It gives agents — Claude Code, OpenAI Codex, Cursor, GitHub Copilot, Google Antigravity, and any Markdown-reading LLM agent — a repeatable plan → build → review → test → ship workflow with quality gates
joshuaswarrenReads credentialsllms.txtjoshuaswarren/remnic/llms.txt
deepSleep off by default. - Coding graph: code-symbol knowledge graph for coding agents. Verify any default in packages/remnic-core/src/config.ts or the openclaw.plugin.json configSchema before relying on it. ACCESS LAYER HTTP
mvalentsevllms.txtmvalentsev/awesome-free-ai-coding/llms.txt
claim in the desktop app; no card - [CodeRabbit](https://mvalentsev.github.io/awesome-free-ai-coding/providers/coderabbit/): Code reviews for local Git changes through an installed CLI or VS Code extension, with an ongoing Free plan
congminh1254llms.txtcongminh1254/shopee-sdk/llms.txt
ESLint npm run format # Prettier ``` ### Code Quality Tools - **ESLint**: TypeScript-aware linting (`.eslintrc.json`) - **Prettier**: Code formatting (`.prettierrc`) - **Husky**: Git hooks for pre-commit checks - **Commitlint**: Conventional commit messages - **Jest**: Testing
jenticllms.txtjentic/jentic-one/llms.txt
only the operations it has been approved for, and asking for more is a reviewable request rather than a silent widening. - Leave a trail. Every brokered call is recorded
dylanroscoverllms.txtdylanroscover/Embody/web/llms-full.txt
bloom on the final output. ``` You're not getting a screenshot or a code snippet to paste. You're getting the **actual network**, in front of you, ready to play
roy-tongllms.txtroy-tong/AgentMeasure/llms.txt
Free local checks for Codex / Claude Code logs and reproducible agent metering verification. Human-delivered diagnostics: $10 Healthcheck and $20 Metering QA. Last reviewed: 2026-11-14. ## Start here - [Website
mihneaptullms.txtmihneaptu/opencode-fusion/site/llms.txt
them. Skills are discovered on demand; installing one needs no restart. 5. Cross-vendor review is emergent: pick main and sidekick from different model families. 6. Only the permission layer
garagonllms.txtgaragon/nanostack/llms.txt
work. Not a saved phase; the artifact appears on review. - /review: Two-pass code review (structural + adversarial). Detects scope drift against the plan and conflict-precedence against prior /security. - /security
nikolai-vysotskyiReads credentialsllms.txtnikolai-vysotskyi/trace-mcp/docs/llms-full.txt
requires external binaries and complex backend choices. [trace-mcp vs CodeGraphContext](/vs/codegraphcontext.html) | | **Review graph** | [code-review-graph](https://github.com/code-review-graph/code-review-graph) | Tracks incremental changes with empty-result uncertainty explanations. | Specialised
nikolai-vysotskyillms.txtnikolai-vysotskyi/trace-mcp/docs/llms.txt
calls return vs making structural questions about code cheap to ask. - [trace-mcp vs code-review-graph](https://trace-mcp.com/vs/code-review-graph.html): Head-to-head against the incremental SQLite graph peer — blast
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.
