Results for “ets”

11 skills
More results
construct-ai-primary
Eli Etabs
Use when ETABS integration, API development, or data synchronization is needed. This agent specializes in ETABS connectivity within the IntegrateForge AI ecosystem.
0
enuno
Bankr Agent Transfers
This skill should be used when the user asks to "send tokens", "transfer ETH", "send to ENS", "transfer to wallet", "send to @username", "transfer to Farcaster", "send to Twitter handle", or any asset transfer operation. Provides guidance on recipient resolution and transfer formats.
1
qhjqhj00
Eas
Validates the Emotional Attitude Score (EAS) metric by measuring its consistency with human judgment on word-level sentiment polarity, using the AmbGIMT dataset and pairwise score comparisons.
3
bankrbot
Standards
Provides Ethereum token and protocol standards including ERC-20, ERC-721, ERC-1155, ERC-4337, ERC-8004 agent identity, EIP-7702, EIP-3009 gasless transfers, and x402 HTTP payment protocol.
1.2k · bundle
k-dense-ai
Esm
Generate, predict, and embed protein sequences and structures using ESM3, ESMC, and ESMFold2 with local or cloud inference.
30.2k · bundle
mukul975
Configuring Active Directory Tiered Model
Implement Microsoft's Enhanced Security Admin Environment (ESAE) tiered administration model for Active Directory, covering Tier 0/1/2 separation, privileged access workstations, and credential theft mitigation.
24.6k · bundle
qhjqhj00
Eer
Compute the Equal Error Rate (EER) metric using torchmetrics for binary, multiclass, or multilabel classification tasks, with reference signatures and usage examples.
3
yanacuti1121
Ecc
Everything Claude Code (ECC) — agent harness configuration layer for Claude Code and other AI coding IDEs. Augments agents with skills, hooks, persistent memory, model routing, and quality gates without modifying the underlying model.
2
lingxling
Esm
Generates and analyzes protein sequences and structures using ESM3, ESMC, and ESMFold2, with support for local and cloud inference.
253 · bundle
qhjqhj00
Tctb
Evaluates the throughput and resource allocation efficiency of RIS-aided mobile edge computing systems by measuring the total computation task bits successfully completed under varying network conditions.
3