For LLMs
Boardwalk is built to be machine-readable. This page bundles the entire docs site into one markdown file you can paste into ChatGPT, Claude, Gemini, or any other LLM as ready-to-use context.
Drop the contents into ChatGPT, Claude, Gemini, or any LLM as a single block of context. The file is regenerated on every deploy so it stays in sync with the live docs.
Working with this in your LLM
Drop the full file in as a system or user message and ask things like:
- “Summarize how Boardwalk auctions work in three bullet points.”
- “What’s the difference between Express and Advanced launches?”
- “Walk me through fee routing on Base step by step.”
- “Which admin actions have a 21-day timelock?”
The file is regenerated on every deploy, so it always reflects what you’re reading on the live site.
The agent skill
Boardwalk also ships an agent skill, so an LLM can do more than read these docs — it can drive onchain actions for a user. The skill teaches an agent when and how to run the boardwalk CLI (npm @useboardwalk/sdk): which command to use, what to check first, and how to hand the result back. With it, an agent can guide someone through launching a token, contributing to an auction, claiming, seeding liquidity, staking, voting, and the other actions these docs describe.
It is non-custodial by design: the skill and CLI prepare unsigned transaction calldata (and, for launch metadata, an EIP-712 payload). The user’s own wallet signs and submits — the agent never sees or signs with a private key.
For Cursor, Codex, Gemini CLI, or any agent that supports the Agent Skills format, install it with one command:
npx skills add useboardwalk/boardwalk-sdkIn Claude Code, install it as a plugin instead:
/plugin marketplace add useboardwalk/boardwalk-sdk
/plugin install boardwalk@boardwalk-sdkSee Agent Skill, SDK & CLI for the full command reference and install options.
The llms.txt index
This site also publishes an llms.txt at its root — a compact, link-based index of every docs page following the llmstxt.org convention. Point LLM tooling that understands the standard at https://www.useboardwalk.com/llms.txt; it can discover each page and pull the full file above when it needs everything.