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AI coding agents can use Boundless more effectively when they have access to structured skill files that describe the product’s capabilities, workflows, and common patterns. Boundless publishes a skill.md file following the agentskills.io specification. This file gives agents structured context about:
  • Requestor workflows — submitting proof requests, configuring offers, tracking fulfillment
  • Prover workflows — setting up nodes, configuring Bento and Broker, depositing collateral
  • SDK and CLI usage — common commands, environment variables, storage providers
  • Decision guidance — when to use Groth16 vs aggregated proofs, onchain vs offchain submission
  • Common gotchas — free RPC failures, journal size limits, collateral requirements

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Add Boundless to your agent

Install the Boundless skill into your AI agent’s context using the skills CLI:
This fetches the skill.md from Boundless and adds it to your agent’s context, so it can help you build on Boundless with accurate, up-to-date guidance.

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Monorepo skills

The Boundless monorepo also includes task-specific skills in .claude/skills/ that provide deeper, step-by-step guidance for common workflows: These skills are automatically available to agents working inside the Boundless monorepo (e.g., Claude Code, Cursor). When you clone the repo, your agent can read the skill files directly.
If you’re using Claude Code, the skills in .claude/skills/ are loaded automatically when relevant. Just ask Claude to help you set up a prover or submit a proof request.

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What agents can help with

Here are some example prompts to try with your AI agent after adding the Boundless skill: For requestors:
For provers:
For developers: