Perform and document Grand Bazaar P2P swaps on Base using deployed AirSwap Swap contracts. Includes repeatable workflows for approvals, EIP-712 signing, cast/deeplink posting, execution, and verification across ERC20/ERC721/ERC1155 routes.
Save up to 90% on Token costs. One agent explores, all agents benefit. Cloud-cached workflows with zero inference cost.
Analyze data with `adme-property-predictor` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.
Automatically generate NIH 2023-compliant Data Management and Sharing Plan (DMSP) drafts following FAIR principles
Batch anonymize DICOM medical images by removing patient sensitive information (name, ID, birth date) while preserving image data for research use. Trigger when users need to de-identify medical imaging data, prepare DICOM files for research sharing, or remove PHI from radiology/scanned images.
Use when drafting patient discharge summaries, creating personalized discharge instructions, simulating post-discharge outcomes, reducing hospital readmissions, or optimizing care transitions. Generates AI-enhanced discharge documentation with digital twin predictions for improved patient safety.
AI-powered EHR summarization using Transformer architecture to extract key clinical information from lengthy medical records
Generate NIH Biosketch documents compliant with the 2022 OMB-approved.
Use outlier detection handler for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries.
Use pathology roi selector for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries.
Analyze data with `pseudotime-trajectory-viz` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.
Use sanger chromatogram qa for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries.
Analyze data with `toxicity-structure-alert` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.
Standard workflow for ACMG/AMP germline small-variant classification — collect evidence, assign criteria, detect conflicts, and produce a review-ready classification summary. Use when a user wants a structured ACMG/AMP-style interpretation workflow for a germline SNV/indel, including guided evidence intake, criteria assignment, conflict handling, and provisional classification.
Build and deploy local RAG (Retrieval-Augmented Generation) systems with offline document processing, embedding models, and vector storage.
State graph navigation, workflow recording and replay with tiered verification.
Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, implementing data governance, or troubleshooting data issues.
NotebookLM Distiller: Batch knowledge extraction from Google NotebookLM into Obsidian. Supports Q&A generation (15-20 deep questions), structured summaries, glossary extraction, web research sessions, and direct markdown persistence.
Analyze BigQuery query patterns and storage to dramatically reduce the
Detect AWS idle and zombie resources consuming cost with zero meaningful utilization
Design an interruption-resilient GCP Spot VM strategy for eligible workloads with 60-91% savings
