Build ai agent

Preamble (run first)

# Suiperpower telemetry. Routes through the CLI so projects.json + Convex stay in sync.
# Silent on failure so the skill never blocks. Opt out: SUIPERPOWER_TELEMETRY=off.
#
# AGENT NOTE: when this skill finishes, run the matching completion command:
#   suiperpower track build-ai-agent build completed
# Or use "failed" / "aborted" if it ended that way.
command -v suiperpower >/dev/null 2>&1 && suiperpower track build-ai-agent build started >/dev/null 2>&1 &
true

If TEL_PROMPTED is no, before doing real work, ask the user:

Help suiperpower get better. We track which skills get used and how long they take. No code, no file paths, no PII. Change anytime in ~/.suiperpower/config.json.

A) Sure, anonymous B) No thanks

Write the answer to ~/.suiperpower/config.json telemetryTier field and create ~/.suiperpower/.telemetry-prompted. Then continue.

What this skill does

Guides the user through building an AI agent that autonomously transacts on Sui. Picks the right wallet pattern, compute layer, memory system, and coordination model for the agent's use case, then wires them together with PTBs as the agent's tool-use layer. Refuses to ship an agent that cannot execute a real transaction end to end.

When to use it

• The user wants to build an AI agent that reads chain state and executes transactions.
• The user is targeting the Agentic Web track at Sui Overflow 2026.
• The user wants agent-managed wallets (zkLogin, sponsored, or server-side keypair).
• The user wants persistent agent memory via MemWal.
• The user needs verifiable AI inference via Nautilus or Atoma.
• The user wants multi-agent coordination through shared objects or events.

When NOT to use it

• If the user has not picked a project yet, use find-next-sui-idea first.
• If the user has not scaffolded a project, use scaffold-project first.
• If the user only needs zkLogin without an autonomous agent, use sui-zk-login.
• If the user only needs sponsored transactions without an agent, use sponsored-transactions.
• If the user only needs Seal encryption without an agent, use seal-access-control.
• If the user wants to write Move code not related to agents, use build-with-move.

If you activated this and the user actually wants something else, consult skills/SKILL_ROUTER.md and hand off.

Inputs

• A Sui project (Move package and/or TS/Python backend).
• Optional: .suiperpower/build-context.md from scaffold-project. Read it if present.
• The agent's purpose and autonomy level.

If unclear, interview the user for:

• What does the agent do in one sentence?
• Does the agent act on behalf of a user (delegated) or independently (autonomous)?
• Does the agent need persistent memory across sessions?
• Does the agent need verifiable inference (Nautilus TEE or Atoma)?
• Does the agent manage funds? If yes, what are the custody constraints?

Outputs

• Agent wallet setup (zkLogin + sponsored, server keypair, or hybrid).

• PTB composition logic for the agent's on-chain actions.

• Memory integration (MemWal) if the agent needs persistence.

• Compute integration (Nautilus or Atoma) if the agent needs inference.

• Coordination layer (shared objects, events) if multi-agent.

• Append to .suiperpower/build-context.md:

  ## build-ai-agent session, <timestamp>
  - agent purpose: <one sentence>
  - wallet pattern: <zkLogin+sponsored | keypair | hybrid>
  - compute: <Nautilus | Atoma | local | none>
  - memory: <MemWal | custom | none>
  - coordination: <shared objects | events | none>
  - packages added: <list>
  - open issues: <list>
  

Decision table: pick agent architecture

Use case	Wallet	Compute	Memory	Coordination
Trading bot (server-side)	Ed25519 keypair	Atoma or local LLM	MemWal	Events for signals
User-facing assistant	zkLogin + Enoki sponsored	Atoma API	MemWal	None
Data marketplace agent	zkLogin + sponsored	Nautilus TEE	Walrus blobs	Shared object registry
Multi-agent swarm	Keypair per agent	Atoma	MemWal per agent	Shared objects as bulletin boards
Privacy-preserving agent	zkLogin	Nautilus TEE + Seal	MemWal (encrypted)	Events, Seal-gated
Game NPC / autonomous entity	Keypair (server)	Local or Atoma	MemWal	Shared game state objects

Confirm the architecture with the user before writing code. If the use case does not fit a row, compose from the columns.

Workflow

1. Context gathering

   • Read .suiperpower/build-context.md if it exists.
   • Confirm the agent's purpose in one sentence.
   • Determine autonomy level: delegated (user approves each action) vs fully autonomous.

2. Pick architecture

   • Walk through the decision table above with the user.
   • Confirm wallet, compute, memory, and coordination choices.
   • If the agent manages real funds, require explicit discussion of custody risk, loss bounds, and kill switches.

3. Wallet setup

   • zkLogin + sponsored: Use Enoki for sponsored transactions, zkLogin for ephemeral keys. Agent creates a wallet per session, transacts without holding SUI. See sui-zk-login and sponsored-transactions skills for detail.
   • Server keypair: Generate Ed25519 keypair via @mysten/sui/keypairs/ed25519. Store the private key in env or KMS, never in source. Fund with SUI for gas.
   • Hybrid: zkLogin for user-facing flows, keypair for server-side autonomous actions.

4. PTB composition (agent tool use)

   • Each agent action maps to a PTB. Up to 1,024 Move calls per transaction, outputs chain between commands via NestedResult.
   • Pattern: agent reads state (dry run or RPC query), decides action, composes PTB, signs, executes.
   • Use Transaction from @mysten/sui/transactions. Compose multi-step atomic operations: check condition, swap, update state, emit event, all in one PTB.
   • See references/agent-architecture.md for PTB-as-tool-use patterns.

5. Memory integration (if applicable)

   • Install @mysten-incubation/memwal and peer deps (@mysten/sui, @mysten/seal, @mysten/walrus, ai, zod).
   • Initialize MemWal with a delegate key, account id, server URL, and namespace.
   • Use mw.remember() to store decisions, user preferences, and context.
   • Use mw.recall() for semantic retrieval.
   • See references/agent-tooling.md for the API.

6. Compute integration (if applicable)

   • Atoma: OpenAI-compatible API, deploy models or use hosted endpoints. TEE isolation for private inference.
   • Nautilus: For verifiable inference with on-chain attestation. Enclave runs inference, signs result, Move contract verifies. See references/agent-architecture.md for the Nautilus flow.

7. Coordination (if multi-agent)

   • Use shared objects as coordination points (bulletin boards, registries, task queues).
   • Use sui::event::emit for agent-to-agent signals, poll via queryEvents (suix_subscribeEvent is deprecated).
   • For atomic multi-step coordination, compose within a single PTB.

8. Test end to end

   • The agent must execute at least one real transaction on testnet.
   • If the agent has memory, verify remember then recall returns the stored context.
   • If multi-agent, verify two agents can coordinate through their shared mechanism.
   • If using Nautilus, verify the attestation verifies on chain.

9. Writeback

   • Append session details to .suiperpower/build-context.md.
   • List open issues, especially custody risks if the agent manages funds.

10. Closing handoff

• If .suiperpower/intent.md exists and the session was non-trivial (new module, new sponsor integration, or material changes to public functions), recommend verify-against-intent as the next step so drift is caught before shipping.
• If no intent.md exists and the session was non-trivial, surface that gap once: offer clarify-intent to backfill, do not force it.

Quality gate (anti-slop)

Before reporting done, the skill asks itself the following and refuses to declare success if any answer is no:

• Has the agent executed at least one real transaction on testnet (not just a dry run)?
• Is the wallet pattern explicitly chosen and documented, not defaulted silently?
• If the agent manages funds, is there a kill switch or spending limit?
• Are private keys stored in env/KMS, never hardcoded or committed?
• If using MemWal, does a round-trip (remember then recall) work?
• If using Nautilus or Atoma, is the compute call wired and returning real results?
• Are PTBs composed atomically (no multi-tx flows that can partially fail)?
• Is the agent's scope clearly bounded (what it can and cannot do)?

If any answer is no, the skill reports the gap and works through it before claiming the session is complete.

References

On-demand references (load when relevant to the user's question):

• references/agent-architecture.md: Why Sui for agents, PTBs as tool use, wallet patterns, memory, compute, coordination.
• references/agent-tooling.md: MemWal API, Atoma API, agent frameworks (Sui Agent Kit, Caterpillar Kit, Talus), Enoki sponsored flow, npm packages.
• references/agent-pitfalls.md: Common mistakes when building AI agents on Sui.

External docs (fetch at runtime for the latest API surface):

• MemWal: https://github.com/MystenLabs/MemWal
• Nautilus: https://github.com/MystenLabs/nautilus
• Atoma: https://github.com/atoma-network/atoma-node
• PTBs: https://docs.sui.io/concepts/transactions/prog-txn-blocks
• zkLogin: https://docs.sui.io/concepts/cryptography/zklogin
• Enoki sponsored txs: https://docs.enoki.mystenlabs.com/ts-sdk/sponsored-transactions

Use in your agent

• Claude Code: claude "/suiper:build-ai-agent <your message>"
• Codex: codex "/build-ai-agent <your message>"
• Grok Build: run grok, then /build-ai-agent <your message> in the session
• Cursor: paste a chat message that includes a phrase like "build an AI agent on Sui" or reference ~/.cursor/rules/build-ai-agent.mdc

If you activated this and the user actually wants something else, consult skills/SKILL_ROUTER.md and hand off.