Results for “nftables”

Expert in NFT development - minting infrastructure, metadata standards, marketplaces, royalties, and collection management across EVM and SolanaUse when "nft, erc721, erc1155, mint, collection, metadata, opensea, metaplex, pfp, generative art, nft, erc721, erc1155, metaplex, opensea, royalties, metadata, ipfs" mentioned.

Implement NFT standards (ERC-721, ERC-1155) with proper metadata handling, minting strategies, and marketplace integration. Use when creating NFT contracts, building NFT marketplaces, or implementing digital asset systems.

Metaplex development on Solana — NFTs, tokens, compressed NFTs, candy machines, token launches. Use when working with Token Metadata, Core, Bubblegum, Candy Machine, Genesis, or the mplx CLI.

Creates NFT collections with metadata generation, IPFS storage, and minting contract deployment

Orchestrate token-heavy research, coding, and testing by delegating bounded tasks to cheaper subagents while reserving Claude Fable for architecture, synthesis, and final review.

Enable nullable reference types in a C# project and systematically resolve all warnings, file-by-file or project-wide.

Flash FPGA firmware on HSB Lattice boards and Leopard Imaging VB1940 cameras connected to NVIDIA devkits, with safety checks and multi-step upgrade/downgrade procedures.

Build custom fuzzers with a modular Rust library, supporting advanced mutation strategies, custom feedback mechanisms, and non-standard target architectures.

Buy and sell NFTs on OpenSea's Seaport marketplace. Fulfill listings, accept offers, create new orders, cross-chain purchases, and sweep multiple listings.

Execute NFT trades on OpenSea's Seaport marketplace: fulfill listings, accept offers, create orders, and sweep multiple listings with cross-chain support.

LibAFL is a modular fuzzing library for building custom fuzzers. Use for advanced fuzzing needs, custom mutators, or non-standard fuzzing targets.

Implement NFT standards (ERC-721, ERC-1155) with proper metadata handling, minting strategies, and marketplace integration. Use when creating NFT contracts, building NFT marketplaces, or implementing digital asset systems.

Storage management for Zephyr RTOS. Covers Non-Volatile Storage (NVS) for persistent settings, flash partition management in Devicetree, and runtime flash layout access. Trigger when implementing persistent data storage, managing flash wear leveling, or configuring device partitions.

Load pre-trained models from Hugging Face Hub, run pipeline inference, generate text, and fine-tune models on NLP, vision, audio, and multimodal tasks using the Transformers library.

Nft reference tool. Use when working with nft in blockchain contexts.

Generates on-brand interfaces and assets for Sprintable, from throwaway HTML prototypes to production code, using the included design tokens, fonts, and UI kit components.

Use when converting GenBank format files to table format as part of the Entrez Direct toolkit from bioconda.

Enumerate SMB, WinRM, LDAP, and MSSQL services, validate credentials, spray passwords, and execute commands on remote hosts using NetExec during authorized penetration tests.

Examine file system slack space, MFT entries, USN journal, and alternate data streams to recover hidden data and reconstruct file activity on NTFS volumes.

Inspect and manipulate transformer internals via HookPoints and activation caching for mechanistic interpretability research.

Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution. Use when needing to run interpretability experiments on massive models (70B+) without local GPU resources, or when working with any PyTorch architecture.

Perform coverage-guided fuzzing of compiled binaries using AFL++ to discover memory corruption, crashes, and security vulnerabilities.

Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints and activation caching. Use when reverse-engineering model algorithms, studying attention patterns, or performing activation patching experiments.

Annotates VCF variants using Ensembl VEP, ClinVar, and gnomAD, ranks them by predicted impact, and generates a reproducible report.

Use when making raw HTTP, E-utilities, PubChem, datasets, or FTP requests through the low-level EDirect transport wrapper.

Query NFT and token data, trade NFTs on Seaport, swap ERC20 tokens via DEX aggregator, configure wallet signing providers, and build/register/gate AI agent tools on Base.

Battle-hardened NFT developer specializing in ERC-721/1155 implementations, gas-optimized minting, reveal mechanics, and marketplace integration. Has launched 50+ collections from stealth 1/1s to 10k PFP drops.Use when "build nft contract, mint function, erc721 implementation, erc1155 implementation, nft reveal, allowlist mint, dutch auction, lazy mint, on-chain metadata, royalty enforcement, operator filter, batch mint gas, token uri, soulbound token, nft, erc721, erc1155, erc721a, solidity, smart-contracts, opensea, blur, metadata, ipfs, arweave, royalties, minting, reveal, allowlist" mentioned.

Vector embeddings with HNSW indexing, sql.js persistence, and hyperbolic support. 75x faster with agentic-flow integration. Use when: semantic search, pattern matching, similarity queries, knowledge retrieval. Skip when: exact text matching, simple lookups, no semantic understanding needed.

Ingests music into a LanceDB via ncmdump-rs and sf-cli, searching and downloading from Netease Cloud Music or Bilibili, decrypting local NCM files, and extracting metadata, lyrics, and cover art.

Stores immutable data on-chain using IQ Labs tech stack including IQDB, hanLock, and x402.

Query NFT and token data, browse drops, stream events, and search across Ethereum, Base, Arbitrum, Optimism, Polygon, and more using the OpenSea API.

Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution. Use when needing to run interpretability experiments on massive models (70B+) without local GPU resources, or when working with any PyTorch architecture.

Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.

A dual-list transfer component for moving items between source and target lists with filtering, virtual scrolling, and custom rendering capabilities

Tabs component for switching content in same area. Invoke when user needs to implement tabbed interfaces, content switching, or tab navigation in Naive UI.