How real projects summarise themselves for language models.
khaskyllms.txtkhasky/awesome-agents-md/llms.txt
always-loaded ruleset — boundaries, security, the verification gate, workflow, debugging, the lazy-senior-dev coding ladder, communication style, the commit-proposal habit. ## Rule modules - [rules/markdown.md](https://github.com/khasky/awesome-agents-md/blob/main/rules/markdown.md): editing Markdown
andreibesleagallms.txtandreibesleaga/GABBE/llms.txt
link below is the source of truth for the latest tag). License: Apache-2.0 (code) AND CC-BY-SA-4.0 (content). **v1.0** adds the full **cradle-to-grave lifecycle
CorpusIQllms.txtCorpusIQ/corpusiq-docs/llms-full.txt
will be deprioritized. The CorpusIQ team reviews open enhancements weekly. Status moves through: `status:reviewing` → `status:accepted` → `status:in-progress` → `status:shipped` --- ## Recipes Recipes are reusable query patterns for CorpusIQ
heymegabytellms.txtheymegabyte/claude-skills/llms-full.txt
/hooks` - `/agents` - `/memory` - `/cost` - `/fast` - `/model` - `/plan` - `/bug` - `/vim` ### Extended - `/ultrareview` — deep multi-agent code review - `/ultraplan` — comprehensive planning - `/tui` — terminal UI mode - `/theme` — custom themes, `~/.claude/themes/` JSON - `/loop` — repeat
heymegabytellms.txtheymegabyte/claude-skills/llms.txt
growth/stripe-billing.md) (SaaS subs/enterprise) ## Agents - [architect](agents/architect.md) - [code-simplifier](agents/code-simplifier.md) - [completeness-checker](agents/completeness-checker.md) - [computer-use-operator](agents/computer-use-operator.md) - [deploy-verifier](agents/deploy-verifier.md) - [security-reviewer](agents/security-reviewer.md) - [seo-auditor](agents/seo-auditor.md) - [test-writer](agents/test-writer.md) - [visual
ShieldNet-360llms.txtShieldNet-360/secure-vibe/docs/llms-full.txt
agent-skills/.agents/skills/`, `claude-skills/.claude/skills/`, `copilot-skills/.github/skills/`. For MCP-aware clients (Claude Code, Cursor, etc.), `secure-vibe mcp` exposes 20 JSON-RPC tools — `lookup_vulnerability`, `scan_dependencies`, `scan
anthony-chaudharyllms.txtanthony-chaudhary/dos-kernel/llms-full.txt
CLEARED means the change's *shape* matched its claim — **not** that the code is correct; correctness review still applies to every commit. The band can only ever ask for *more
pome-shllms.txtpome-sh/digital-twins/llms.txt
prints its address, a token it mints itself, and the connect block for Claude Code, Codex, `.mcp.json` and the vendor's own SDK. There is no account and no login
dvfllms.txtdvf/synapse/llms.txt
over MsgPack-over-TCP RPC - swarms — named groups of nodes - capabilities — advertised abilities like `code-review`, `news`, `trading` - endpoints — async functions callable by peers - ask handlers — default task delegation with
getcargohqllms.txtgetcargohq/cargo-skills/llms.txt
Triggers: \"as code\", \"in git\", \"version-controlled\", \"reproducible\", \"Terraform for Cargo\", \"set up a whole workspace\", \"staging and production\", \"deploy the workspace from CI\", \"review this in a PR\", \"cargo.state.json
jigarbhoye04llms.txtjigarbhoye04/MatlabMCP/llms-full.txt
from the community! Please review our [contributing guidelines](https://github.com/modelcontextprotocol/.github/blob/main/CONTRIBUTING.md) for details on how to submit changes. All contributors must adhere to our [Code of Conduct](https://github.com/modelcontextprotocol/.github/blob/main/CODE_OF_CONDUCT.md).
sunnyday-technologiesllms.txtsunnyday-technologies/CADCLAW/docs/llms.txt
Claude Desktop, Cursor, etc.) can drive both halves directly, and can see the rendered review images at each assembly round. This file is a high-density plain-text summary intended
Teycirllms.txtTeycir/Assumptions/llms.txt
evals/BASELINE.md) for recall/ precision results across versions. ## Scope Assumptions is not a generic AI code reviewer, not a static analyzer, and not an autonomous code modifier. It only reports
arikusillms.txtarikusi/deepseek-mcp-server/llms-full.txt
disables) | ## Prompt Templates (12 total) ### Core Reasoning - debug_with_reasoning(code, error?, language?) - code_review_deep(code, language?, focus: security|performance|quality|all) - research_synthesis(topic, context?, depth: brief|moderate
arikusillms.txtarikusi/deepseek-mcp-server/llms.txt
deepseek_fim (prompt + suffix) - [Prompt Templates](https://github.com/arikusi/deepseek-mcp-server#available-prompts): 12 prompts for debugging, code review, research - [Remote Endpoint](https://github.com/arikusi/deepseek-mcp-server#remote-endpoint-hosted): Hosted BYOK endpoint at deepseek-mcp.tahirl.com/mcp (Cloudflare Workers) - [HTTP
CLOUDWERX-DEVllms.txtCLOUDWERX-DEV/gpt-image-1-mcp/.docs/llms-full.txt
# Example Clients Source: https://modelcontextprotocol.io/clients A list of applications that support MCP integrations
danicatllms.txtdanicat/skills/llms.txt
readiness and open sourcing. Activate when developing new skills or refining existing ones. - [swarm-coding](https://skills.danicat.dev/agents/swarm-coding/SKILL.md): Orchestrates multi-agent hierarchical swarms using a divide-and-conquer architecture
heuremallms.txtheurema/signum/llms.txt
Signum > Evidence-driven development pipeline with multi-model code review. Transforms feature requests into verified code changes with cryptographic proof. ## Overview Signum is a Claude Code plugin that runs
heznpcllms.txtheznpc/AirMCP/llms.txt
runtime is in preview; visionOS and watchOS are roadmap targets. ## Links - [Source Code](https://github.com/heznpc/AirMCP) - [npm Package](https://www.npmjs.com/package/airmcp) - [Full Tool Reference](https://github.com/heznpc/AirMCP/blob/main/llms-full.txt) - [Contributing Guide
hjqcanllms.txthjqcan/GoodMemory/llms.txt
wire the host: ```bash npm install -g goodmemory@0.8.0 goodmemory setup # detects Codex + Claude Code, installs managed wiring goodmemory status ``` Not sure what is already installed? Run `goodmemory adopt
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.
