software-crypto-web3

vasilyu1983/ai-agents-public · updated Apr 8, 2026

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$npx skills add https://github.com/vasilyu1983/ai-agents-public --skill software-crypto-web3
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summary

Use this skill to design, implement, and review secure blockchain systems: smart contracts, on-chain/off-chain integration, custody and signing, testing, audits, and production operations.

skill.md

Software Crypto/Web3 Engineering

Use this skill to design, implement, and review secure blockchain systems: smart contracts, on-chain/off-chain integration, custody and signing, testing, audits, and production operations.

Defaults to: security-first development, explicit threat models, comprehensive testing (unit + integration + fork + fuzz/invariants), formal methods when high-value, upgrade safety (timelocks, governance, rollback plans), and defense-in-depth for key custody and signing.


Quick Reference

Task Tool/Framework Command When to Use
Solidity Development Hardhat/Foundry npx hardhat init or forge init Ethereum/EVM smart contracts
Solana Programs Anchor anchor init Solana blockchain development
Cosmos Contracts CosmWasm cargo generate --git cosmwasm-template Cosmos ecosystem contracts
TON Contracts Tact/FunC + Blueprint npm create ton@latest TON blockchain development
Testing (Solidity) Foundry/Hardhat forge test or npx hardhat test Unit, fork, invariant tests
Security Audit Slither/Aderyn/Echidna slither . or aderyn . Static analysis, fuzzing
AI-Assisted Review AI scanners (optional) N/A Pre-audit preparation (verify findings manually)
Fuzzing Echidna/Medusa echidna . or medusa fuzz Property-based fuzzing
Gas Optimization Foundry Gas Snapshots forge snapshot Benchmark and optimize gas
Deployment Hardhat Deploy/Forge Script npx hardhat deploy Mainnet/testnet deployment
Verification Etherscan API npx hardhat verify Source code verification
Upgradeable Contracts OpenZeppelin Upgrades @openzeppelin/hardhat-upgrades Proxy-based upgrades
Smart Wallets ERC-4337, EIP-7702 Account abstraction SDKs Smart accounts and sponsored gas (verify network support)

Scope

Use this skill when you need:

  • Smart contract development (Solidity, Rust, CosmWasm)
  • DeFi protocol implementation (AMM, lending, staking, yield farming)
  • NFT and token standards (ERC20, ERC721, ERC1155, SPL tokens)
  • DAO governance systems
  • Cross-chain bridges and interoperability
  • Gas optimization and storage patterns
  • Smart contract security audits
  • Testing strategies (Foundry, Hardhat, Anchor)
  • Oracle integration (Chainlink, Pyth)
  • Upgradeable contract patterns (proxies, diamonds)
  • Web3 frontend integration (ethers.js, web3.js, @solana/web3.js)
  • Blockchain indexing (The Graph, subgraphs)
  • MEV protection and flashbots
  • Layer 2 scaling solutions (Base, Arbitrum, Optimism, zkSync)
  • Account abstraction (ERC-4337, EIP-7702, smart wallets)
  • Backend crypto integration (.NET/C#, multi-provider architecture, CQRS)
  • Webhook handling and signature validation (Fireblocks, custodial providers)
  • Event-driven architecture with Kafka for crypto payments
  • Transaction lifecycle management and monitoring
  • Wallet management (custodial vs non-custodial)

Decision Tree: Blockchain Platform Selection

Project needs: [Use Case]
  - EVM-compatible smart contracts?
    - Complex testing needs -> Foundry (fuzzing, invariants, gas snapshots)
    - TypeScript ecosystem -> Hardhat (plugins, TS, Ethers.js/Viem)
    - Enterprise features -> NestJS + Hardhat

  - High throughput / low fees?
    - Rust-based -> Solana (Anchor)
    - EVM L2 -> Arbitrum/Optimism/Base (Ethereum security, lower gas)
    - Telegram distribution -> TON (Tact/FunC)

  - Interoperability across chains?
    - Cosmos ecosystem -> CosmWasm (IBC)
    - Multi-chain apps -> LayerZero or Wormhole (verify trust assumptions)
    - Bridge development -> custom (high risk; threat model required)

  - Token standard implementation?
    - Fungible tokens -> ERC20 (OpenZeppelin), SPL Token (Solana)
    - NFTs -> ERC721/ERC1155 (OpenZeppelin), Metaplex (Solana)
    - Semi-fungible -> ERC1155 (gaming, fractionalized NFTs)

  - DeFi protocol development?
    - AMM/DEX -> Uniswap V3 fork or custom (concentrated liquidity)
    - Lending -> Compound/Aave fork (collateralized borrowing)
    - Staking/yield -> custom reward distribution contracts

  - Upgradeable contracts required?
    - Transparent proxy -> OpenZeppelin (admin/user separation)
    - UUPS -> upgrade logic in implementation
    - Diamond -> modular functionality (EIP-2535)

  - Backend integration?
    - .NET/C# -> multi-provider architecture (see backend integration references)
    - Node.js -> Ethers.js/Viem + durable queues
    - Python -> Web3.py + FastAPI

Chain-Specific Considerations:

  • Ethereum/EVM: Security-first, higher gas costs, largest ecosystem
  • Solana: Performance-first, Rust required, lower fees
  • Cosmos: Interoperability-first, IBC native, growing ecosystem
  • TON: Telegram-first, async contracts, unique architecture

See references/ for chain-specific best practices.


Security-First Patterns (Jan 2026)

Security baseline: Assume an adversarial environment. Treat contracts and signing infrastructure as public, attackable APIs.

Custody, Keys, and Signing (Core)

Key management is a dominant risk driver in production crypto systems. Use a real key management standard as baseline (for example, NIST SP 800-57).

Model Who holds keys Typical use Primary risks Default controls
Non-custodial End user wallet Consumer apps, self-custody Phishing, approvals, UX errors Hardware wallet support, clear signing UX, allowlists
Custodial Your service (HSM/MPC) Exchanges, payments, B2B Key theft, insider threat, ops mistakes HSM/MPC, separation of duties, limits/approvals, audit logs
Hybrid Split responsibility Enterprises Complex failure modes Explicit recovery/override paths, runbooks

BEST:

  • Separate hot/warm/cold signing paths with limits and approvals [Inference]
  • Require dual control for high-value transfers (policy engine + human approval) [Inference]
  • Keep an immutable audit trail for signing requests (who/what/when/why) [Inference]

AVOID:

  • Storing private keys in databases or application config
  • Reusing signing keys across environments (dev/staging/prod)
  • Hot-wallet automation without rate limits and circuit breakers [Inference]

Checks-Effects-Interactions (CEI) Pattern

Mandatory for all state-changing functions.

// Correct: CEI pattern
function withdraw(uint256 amount) external {
    // 1. CHECKS: Validate conditions
    require(balances[msg.sender] >= amount, "Insufficient balance");

    // 2. EFFECTS: Update state BEFORE external calls
    balances[msg.sender] -= amount;

    // 3. INTERACTIONS: External calls LAST
    (bool success, ) = msg.sender.call{value: amount}("");
    require(success, "Transfer failed");
}

// Wrong: External call before state update (reentrancy risk)
function withdrawUnsafe(uint256 amount) external {
    require(balances[msg.sender] >= amount);
    (bool success, ) = msg.sender.call{value: amount}("");
    require(success);
    balances[msg.sender] -= amount; // Too late!
}

Security Tools (Jan 2026)

Category Tool Purpose When to Use
Static Analysis Slither Vulnerability detection, 92+ detectors Every contract
Static Analysis Aderyn Rust-based, faster for large codebases Large projects
Fuzzing Echidna Property-based fuzzing Complex state
Fuzzing Medusa Parallelized Go fuzzer CI/CD pipelines
Formal Verification SMTChecker Built-in Solidity checker Every contract
Formal Verification Certora Property-based proofs (CVL) DeFi, high-value
Formal Verification Halmos Symbolic testing Complex invariants
AI-Assisted Sherlock AI ML vulnerability detection Pre-audit prep
AI-Assisted Olympix DevSecOps integration CI/CD security
AI-Assisted AuditBase 423+ detectors, LLM-powered Business logic
Mutation Testing SuMo Test suite quality assessment Test validation
// Certora CVL rule example
rule balanceNeverNegative(address user) {
    env e;
    require balances[user] >= 0;
    deposit(e);
    assert balances[user] >= 0;
}

AI-assisted review: Use AI tooling for pre-audit preparation and coverage, not for final security decisions. Treat outputs as untrusted and reproduce findings with deterministic tools, tests, and manual review.

MEV Protection

Strategy Implementation
Private mempool Flashbots Protect, MEV Blocker
Commit-reveal Hash commitment, reveal after deadline
Batch auctions CoW Protocol, Gnosis Protocol
Encrypted mempools Shutter Network
// Commit-reveal pattern
mapping(address => bytes32) public commitments;

function commit(bytes32 hash) external {
    commitments[msg.sender] = hash;
}

function reveal(uint256 value, bytes32 salt) external {
    require(
        keccak256(abi.encodePacked(value, salt)) == commitments[msg.sender],
        "Invalid reveal"
    );
    // Process revealed value
}

Account Abstraction (Jan 2026)

Note: Adoption numbers and upgrade timelines change quickly. Verify current ERC-4337 ecosystem state and any EIP-7702 activation details with WebSearch before making recommendations.

ERC-4337 vs EIP-7702

Standard Type Key Feature Use Case
ERC-4337 Smart contract wallets Full AA without protocol changes New wallets, DeFi, gaming
EIP-7702 EOA enhancement EOAs execute smart contract code Existing wallets, batch txns
ERC-6900 Modular accounts Plugin management for AA wallets Extensible wallet features

ERC-4337 Architecture:

User -> UserOperation -> Bundler -> EntryPoint -> Smart Account -> Target Contract
                          |
                          v
                      Paymaster (gas sponsorship)

EIP-7702 (Pectra Upgrade):

  • EOAs can temporarily delegate to smart contracts
  • Enables batch transactions, sponsored gas for existing addresses
  • Complementary to ERC-4337 (uses same bundler/paymaster infra)
  • Supported by Ambire, Trust Wallet, and growing

Key Capabilities:

  • Gasless transactions: Paymasters sponsor gas in ERC-20 or fiat
  • Batch operations: Multiple actions in single transaction
  • Social recovery: Multi-sig or guardian-based key recovery
  • Session keys: Limited permissions for dApps without full wallet access

Smart Wallet Development

// Minimal ERC-4337 Account (simplified)
import "@account-abstraction/contracts/core/BaseAccount.sol";

contract SimpleAccount is BaseAccount {
    address public owner;

    function validateUserOp(
        UserOperation calldata userOp,
        bytes32 userOpHash,
        uint256 missingAccountFunds
    ) external override returns (uint256 validationData) {
how to use software-crypto-web3

How to use software-crypto-web3 on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add software-crypto-web3
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/vasilyu1983/ai-agents-public --skill software-crypto-web3

The skills CLI fetches software-crypto-web3 from GitHub repository vasilyu1983/ai-agents-public and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/software-crypto-web3

Reload or restart Cursor to activate software-crypto-web3. Access the skill through slash commands (e.g., /software-crypto-web3) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.568 reviews
  • Nikhil Lopez· Dec 24, 2024

    We added software-crypto-web3 from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Sofia Martinez· Dec 20, 2024

    Registry listing for software-crypto-web3 matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Jin Martinez· Dec 20, 2024

    Solid pick for teams standardizing on skills: software-crypto-web3 is focused, and the summary matches what you get after install.

  • Dhruvi Jain· Dec 16, 2024

    software-crypto-web3 fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Nikhil Ndlovu· Dec 12, 2024

    software-crypto-web3 has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Ishan Gonzalez· Nov 15, 2024

    Keeps context tight: software-crypto-web3 is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Kabir Diallo· Nov 11, 2024

    I recommend software-crypto-web3 for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Oshnikdeep· Nov 7, 2024

    software-crypto-web3 is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Fatima Gonzalez· Nov 3, 2024

    Useful defaults in software-crypto-web3 — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ganesh Mohane· Oct 26, 2024

    Keeps context tight: software-crypto-web3 is the kind of skill you can hand to a new teammate without a long onboarding doc.

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