Starknet Js

OrganizationPopular

starknet-io

starknet-js

Use when writing or debugging JavaScript/TypeScript that interacts with Starknet through the starknet.js SDK — building Call objects or calldata, encoding/decoding Cairo types (felt252, u256, structs, arrays, spans, ByteArray, Option/Result/custom enums), or working with contracts, accounts, providers, transactions, fees, deployment, or events.

Overview

Publisher	starknet-io
Repository	`starknet.js`
Skill name	`starknet-js`
Stars	1.3K
Forks	826
Bundled files	2
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by starknet-io on GitHub. Read the source before you install it.

Installation

Install the Starknet Js AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/starknet-io/starknet.js.git /tmp/starknet.js
mkdir -p .claude/skills
cp -r /tmp/starknet.js/skills/starknet-js .claude/skills/starknet-js

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Starknet Js in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Starknet Js on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Starknet Js is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

starknet.js

Official JS/TS SDK for Starknet. Skill verified against starknet.js 10.8.0.

Do not trust training-data memory of starknet.js: it is typically outdated and wrong. Constructors take option objects, only V3 transactions exist (STRK fees, no maxFee). When this skill and memory disagree, the skill wins.

Layer model: Account (signs & submits) wraps RpcProvider (parses, retries) wraps RpcChannel (raw JSON-RPC).

Reference files

calldata.md — REQUIRED reading before encoding or decoding anything: Call/calldata construction, wire format of every Cairo type, enums (Option/Result/custom), ByteArray, string auto-detection traps, response parsing, decodeParameters.
interacting.md — providers, accounts, contracts, multicall, fees/tips, declare/deploy, receipts, events, RPC-version compatibility.

Non-negotiable rules

Only V3 transactions (INVOKE/DECLARE/DEPLOY_ACCOUNT); fees paid in STRK via resourceBounds + tip. Never suggest maxFee or V1/V2.
Constructors take an options object: new Account({ provider, address, signer }), new Contract({ abi, address, providerOrAccount }), new RpcProvider({ nodeUrl }).
Never prepend an array length to calldata arrays — the library adds it.

Quick reference

Task	API
Connect to node	`new RpcProvider({ nodeUrl })` — or `await RpcProvider.create({ nodeUrl })` to auto-detect RPC version
Account	`new Account({ provider, address, signer: privateKey })`
Contract	`new Contract({ abi, address, providerOrAccount })`
Read	`await myContract.my_view_fn(arg1, arg2)` → parsed JS value
Write	`const { transaction_hash } = await myContract.my_fn(args)` then `await provider.waitForTransaction(transaction_hash)`
Build a Call	`myContract.populate('fn', { ...args })` → `{ contractAddress, entrypoint, calldata }`
Compile calldata (ABI)	`myContract.compile('fn', args)` or `new CallData(abi).compile('fn', args)`
Compile calldata (no ABI)	`CallData.compile(args)` — several traps, see calldata.md
Multicall	`await account.execute([call1, call2])`
Decode raw felts	`new CallData(abi).decodeParameters('core::…::Type', feltArray)`
Events	`myContract.parseEvents(receipt)`, `provider.getEvents({ ... })`
Deploy	`await Contract.factory({ contract, casm, account, constructorCalldata })`

Top mistakes (from outdated model knowledge)

Mistake	Fix
`new Account(provider, address, pk)` positional	Options object (see above)
`maxFee`, V1/V2 transactions, ETH fees	V3 only; `resourceBounds` from `estimateInvokeFee`, `tip`
Manually prepending `array_len`	Never — automatic
`CallData.compile([myU256Bigint])` gives 1 felt	Use `cairo.uint256(n)` without ABI; a plain bigint is fine only with ABI
`new CairoCustomEnum({ OnlyActive: v })` without ABI	Without ABI, list ALL variants (`undefined` for inactive)
Expecting `.res`-style result objects	Cairo 1 returns the value directly (bigint, object, array, enum class)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

calldata.md23 KB
interacting.md7 KB

Frequently asked questions

What does the Starknet Js AI skill do?

Why use Starknet Js on TypingMind?

Because you install it once and use it with any model. Starknet Js is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Starknet Js in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/starknet-io/starknet.js/tree/develop/skills/starknet-js. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Starknet Js?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Starknet Js?

As many as you like. As long as a model supports skills, you can use Starknet Js with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Starknet Js AI skill free?

Yes. It is published on GitHub by starknet-io under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

starknet.js

Reference files

Non-negotiable rules

Quick reference

Top mistakes (from outdated model knowledge)

Bundled files

Frequently asked questions

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