workflow-cache
Save up to 90% on Token costs. One agent explores, all agents benefit. Cloud-cached workflows with zero inference cost.
adme-property-predictor
Analyze data with `adme-property-predictor` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.
data-management-plan-creator
Automatically generate NIH 2023-compliant Data Management and Sharing Plan (DMSP) drafts following FAIR principles
dicom-anonymizer
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.
digital-twin-discharge-drafter
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.
ehr-semantic-compressor
AI-powered EHR summarization using Transformer architecture to extract key clinical information from lengthy medical records
nih-biosketch-builder
Generate NIH Biosketch documents compliant with the 2022 OMB-approved.
outlier-detection-handler
Use outlier detection handler for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries.
pathology-roi-selector
Use pathology roi selector for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries.
pseudotime-trajectory-viz
Analyze data with `pseudotime-trajectory-viz` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.
sanger-chromatogram-qa
Use sanger chromatogram qa for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries.
toxicity-structure-alert
Analyze data with `toxicity-structure-alert` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.
acmg-variant-classification
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.
rag-system-builder
Build and deploy local RAG (Retrieval-Augmented Generation) systems with offline document processing, embedding models, and vector storage.
gui-workflow
State graph navigation, workflow recording and replay with tiered verification.
senior-data-engineer
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
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.
gcp-bigquery-optimizer
Analyze BigQuery query patterns and storage to dramatically reduce the
aws-idle-resource-detector
Detect AWS idle and zombie resources consuming cost with zero meaningful utilization
gcp-spot-vm-strategy
Design an interruption-resilient GCP Spot VM strategy for eligible workloads with 60-91% savings
memory-router
Central dispatch layer for OpenClaw Memory Stack. Routes memory queries to the best backend via signal detection, class-based dispatch, and sequential fallback.