Smart Blog ๅ่ณช็ฃๆง่ๆๅบฆๆฏ่ผใ่ฟฝ่นคๆ็ซ ๅๆธ่ฎๅ๏ผ็ขๅบ delta ๅ ฑๅใ ่ณๆๅฒๅญๅจ docs/monitor/๏ผJSON ๆ ผๅผๅฏไพๅ ถไป skill ๅ ฑ็จใ Use when user says "monitor", "็ฃๆง", "่ฟฝ่นค", "compare scores", "monthly report", "ๆๅ ฑ", "ๅ่ณช่ถจๅข", "smart-blog monitor", "delta".
Record SkillTool usage with sanitized telemetry fields so built-in, bundled, and custom skills are distinguished while avoiding PII leakage.
Run end-to-end tests for easy-db-lab. Automatically detects what to test based on code changes in the current branch, or allows manual specification of test scope. Use when validating changes, running CI tests, or verifying full system functionality. Runs in background, reports results, and automatically debugs failures.
Dynamic end-to-end test runner for easy-db-lab that calls easy-db-lab commands directly. Analyzes branch changes, proposes a test plan, executes commands step-by-step, and investigates failures inline. Use instead of bin/end-to-end-test when you want intelligent, adaptive testing with real-time debugging.
Record SkillTool usage with sanitized telemetry fields so built-in, bundled, and custom skills are distinguished while avoiding PII leakage.
Fall back to time-based microcompaction when the idle gap exceeds the configured threshold and directly clear the oldest compactable tool results.
Fall back to time-based microcompaction when the idle gap exceeds the configured threshold and directly clear the oldest compactable tool results.
Score telemetry field name similarity across syntactic, taxonomic, and semantic layers. TRIGGERS - field name collision, terminology overlap, schema dedup, naming inconsistency, telemetry naming, log field similarity.
ๅฐ SMILES ๅญ็ฌฆไธฒ่ฝฌๆขไธบ IUPAC ๅๅญฆๅ็งฐใไฝฟ็จ PubChemใNCI/CADDใSTOUTใRDKit-InChI ๅค็งๆนๆณๆบ่ฝ่ฝฌๆขใ
ๅฐ SMILES ๆๅๅญฆๅ็งฐ่ฝฌๆขไธบๅๅญ 2D ็ปๆๅพใๆฏๆๆฎ้ๅๅญๅ่ๅ็ฉ 2D ็ปๆ็ปๅถใ
ๅฐๅๅญ็ปๆๅพ็่ฝฌๆขไธบ SMILES ๅญ็ฌฆไธฒใไฝฟ็จ DECIMER ๅ MolNextR ๆจกๅ่ฟ่กๅพๅ่ฏๅซใ
Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis. Use this skill when conducting multi-step biomedical research including CRISPR screening design, single-cell RNA-seq analysis, ADMET prediction, GWAS interpretation, rare disease diagnosis, or lab protocol optimization. Leverages LLM reasoning with code execution and integrated biomedical databases.
Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).
Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.
Time series machine learning toolkit for classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use this skill when working with temporal data, performing time series analysis, building predictive models on sequential data, or implementing workflows that involve distance metrics (DTW), transformations (ROCKET, Catch22), or deep learning for time series. Applicable for tasks like ECG classification, stock price forecasting, sensor anomaly detection, or activity recognition from wearable devices.
This skill should be used when working with single-cell omics data analysis using scvi-tools, including scRNA-seq, scATAC-seq, CITE-seq, spatial transcriptomics, and other single-cell modalities. Use this skill for probabilistic modeling, batch correction, dimensionality reduction, differential expression, cell type annotation, multimodal integration, and spatial analysis tasks.
Use this skill when working with scientific research tools and workflows across bioinformatics, cheminformatics, genomics, structural biology, proteomics, and drug discovery. This skill provides access to 600+ scientific tools including machine learning models, datasets, APIs, and analysis packages. Use when searching for scientific tools, executing computational biology workflows, composing multi-step research pipelines, accessing databases like OpenTargets/PubChem/UniProt/PDB/ChEMBL, performing tool discovery for research tasks, or integrating scientific computational resources into LLM workflows.
Laboratory automation toolkit for controlling liquid handlers, plate readers, pumps, heater shakers, incubators, centrifuges, and analytical equipment. Use this skill when automating laboratory workflows, programming liquid handling robots (Hamilton STAR, Opentrons OT-2, Tecan EVO), integrating lab equipment, managing deck layouts and resources (plates, tips, containers), reading plates, or creating reproducible laboratory protocols. Applicable for both simulated protocols and physical hardware control.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
