zapierllms.txtgtm-cheat-codes
zapier/gtm-cheat-codes/llms.txt
agent skills Zapier GTM teams use to turn scattered context into reviewable work products. This repository helps coding agents understand and use GTM workflows with Zapier MCP and Zapier
llms.txt examples
How real projects summarise themselves for language models.
Best matches · from page 6Worked for most · soon
zapierllms.txt
claude-did-thisllms.txtMCPControl
claude-did-this/MCPControl/docs/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).
SirAllapllms.txtagentglass / landing
SirAllap/agentglass/landing/llms.txt
machine holds the terminals (real tmux panes), the agents — Claude Code, Codex, Gemini CLI, OpenCode — their pull requests and reviews, the diffs they write, git and Docker, a browser they
88linllms.txtcomputer-repair-skill
88lin/computer-repair-skill/docs/llms.txt
Read-only diagnosis — Start with narrow checks that change nothing, recording commands, exit codes, measured values, paths, service states and timestamps. Command output is evidence, and a single anomaly
kydlikebtcllms.txtawesome-grokbot
kydlikebtc/awesome-grokbot/llms.txt
attribution), first_seen, checked, link_status, license. ## Categories coding-shipping (43) — write code, review PRs, babysit coding agents, keep the box healthy inbox-calendar (20) — triage mail, draft replies, defend
ZeKaiNiellms.txtuniversal-examprep-skill
ZeKaiNie/universal-examprep-skill/llms.txt
GitHub Copilot and 40+ agents): `npx skills add ZeKaiNie/universal-examprep-skill`, then `pip install pypdfium2`. - Claude Code plugin: `/plugin marketplace add ZeKaiNie/universal-examprep-skill`, then `/plugin install universal-exam-cram-coach@exam-cram-coach
ohad6kllms.txtemulo / site
ohad6k/emulo/site/llms.txt
privacy. - [Carry preferences between agents](https://emulo.vercel.app/agent-profile#switch-agents): reuse a reviewed profile from Claude Code in a Codex project's AGENTS.md; conversation history and hidden state are not transferred. - [Verify
KimYx0207llms.txtMeta_Kim
KimYx0207/Meta_Kim/llms.txt
work through a repeatable spine: Critical -> Fetch -> Thinking -> Execution -> Review -> Meta-Review -> Verification -> Evolution ## Core Idea AI coding assistants are good hands. Meta_Kim adds the governing layer above
aws-samplesllms.txtsample-well-architected-skills-and-steering
aws-samples/sample-well-architected-skills-and-steering/llms.txt
pillars (Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, Sustainability) to architecture discussions, code reviews, and design decisions. ## Installation Install via [skills.sh](https://skills.sh) (no clone needed): ``` npx skills
billy-enrizkyllms.txtopenbrowser-ai / stress-tests
billy-enrizky/openbrowser-ai/stress-tests/llms-full.txt
papers are collected\n- [ ] Verify all 20 papers have complete metadata\n- [ ] Final review and completion" }} - Positive Examples: "evaluation_previous_goal": "Successfully navigated to the product page and found
vishalsachdevllms.txtcanvas-mcp
vishalsachdev/canvas-mcp/docs/llms.txt
code execution API ## Source Code - [GitHub Repository](https://github.com/vishalsachdev/canvas-mcp): Full source code, issues, and contributions - [PyPI Package](https://pypi.org/project/canvas-mcp/): Python package installation via pip - [MCP Server Registry
xixihhhhllms.txthotclip
xixihhhh/hotclip/docs/llms.txt
dynamic word-level captions, filler-word/silence removal, speaker diarization, speaker-filtered transcript review, and explicit model-picker controls. No credit system, no watermark, no uploads, no sign
vinkius-labsllms.txtmcpfusion
vinkius-labs/mcpfusion/docs/llms.txt
# MCP Fusion > fusion is the TypeScript framework for production MCP servers. MVA architecture, structured
FlorianBruniauxllms.txtclaude-cowork-guide
FlorianBruniaux/claude-cowork-guide/llms.txt
folders and files - Work with configured connectors and browser tools where available - Execute task code in an isolated environment ## Boundaries to Keep in Mind - Local files, local browser access
FlorianBruniauxllms.txtclaude-cowork-guide / machine-readable
FlorianBruniaux/claude-cowork-guide/machine-readable/llms.txt
folders and files - Work with configured connectors and browser tools where available - Execute task code in an isolated environment ## Boundaries to Keep in Mind - Local files, local browser access
Sentryllms.txtdotagents
getsentry/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
ffrolivallms.txtgflow-cli
ffroliva/gflow-cli/llms.txt
/ffroliva/gflow-cli/blob/main/docs/USAGE.md): Command-by-command reference, including `gflow credits user|list`, manifest format, and exit codes. - [Architecture](https://github.com/ffroliva/gflow-cli/blob/main/docs/ARCHITECTURE.md): Provider abstraction, ui_automation transport, RFC 9457 error model. - [Authentication
jfarcandllms.txtmirroir-mcp
jfarcand/mirroir-mcp/llms.txt
accept # re-record every baseline; refuses to run in CI ``` Three verdicts, three exit codes: **0 = PASS**, **1 = FAIL**, **65 = DRIFT** — every structural assertion held and a drift metric moved
roy-tongllms.txtAgentMeasure
roy-tong/AgentMeasure/llms.txt
claim. Verdicts are PASS / FAIL / UNPROVABLE. > Local-first. No network code in the tool. MIT. > > Last reviewed: 2026-09-19 ## What this standard is AgentMeasure is the **semantics layer
nirholasllms.txtthree.ws
nirholas/three.ws/public/llms-full.txt
# three.ws: Complete Page Index three.ws is the AI-agent layer for the open web
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.