Data & Analytics

qhjqhj00 Skill

This benchmark evaluates a model's ability to predict glioma IDH mutation status (mutant vs. wild-type) by integrating multi-modal MRI data, including anatomical sequences, tumor geometry, and reconstructed brain networks. It probes the model's capacity for cross-modal feature alignment and patient-level binary classification under data-scarce conditions. Use when the user wants to benchmark on TCIA & In-house Glioma Cohort, or asks about evaluating this task. Reports Accuracy.

qhjqhj00 Skill

Evaluates the prognostic and molecular predictive value of 38 automated histomic features extracted from H&E whole-slide images across 21 solid-tumor cancer types. It probes whether purely morphological patterns can recover canonical biology, predict survival outcomes, and correlate with gene expression, pathway activity, and immune subtypes. Use when the user wants to benchmark on TCGA Pan-Cancer H&E Cohort, or asks about evaluating this task. Reports Cox proportional-hazards model.

qhjqhj00 Skill

This evaluation compares the interactive analytics performance of four SQL-on-Hadoop systems (Impala, Drill, Spark SQL, Phoenix) by measuring query response times and resource utilization. It characterizes how each system's optimizer and execution engine handle join orders, operator selection, and data scanning across different storage formats and scaling configurations. Use when the user wants to benchmark on Unspecified SQL workloads (text/parquet), or asks about evaluating this task. Reports query_rt.

qhjqhj00 Skill

Evaluates a model's ability to resolve multi-turn dialogue context into standalone questions and subsequently generate correct SQL queries. It measures both the quality of context resolution (utterance rewrite) and the accuracy of semantic parsing across individual questions and full dialogue interactions. Use when the user wants to benchmark on SParC, CoSQL, TASK, CANARD, or asks about evaluating this task. Reports Question Match, Interaction Match.

qhjqhj00 Skill

Evaluates the cross-cohort generalisability of transcriptomic models (bulk and single-cell RNA-seq) for predicting immune checkpoint inhibitor (ICI) response in cancer patients. Probes robustness to cohort-specific transcriptomic context, tumour type, immune composition, and class imbalance. Use when the user wants to benchmark on Cho et al., Ribas et al., Poddubskaya et al., Gondal et al., Franken et al., Luoma et al., Reinstein et al., or asks about evaluating this task. Reports macro F1 score.

qhjqhj00 Skill

Evaluates a model's ability to predict IDH mutation status (mutant vs. wild-type) in glioma patients using multi-modal MRI-derived structural brain networks. Use when the user wants to benchmark on TCIA + In-house Cohort, or asks about evaluating this task. Reports accuracy.

qhjqhj00 Skill

Evaluates the reliability of cross-domain text-to-SQL benchmarks by exposing flaws in automated metrics like execution accuracy and exact set match, and by introducing human-in-the-loop validation to handle schema ambiguity and query equivalence. Use when the user wants to benchmark on Spider, Spider-DK, BIRD, or asks about evaluating this task. Reports Execution Accuracy.

qhjqhj00 Skill

Compares local trajectory planners (DWB and TEB) for mobile manipulators by evaluating path smoothness, end-effector stability, trajectory deviation from a global path, and navigation accuracy/time in static and dynamic simulated environments. Use when the user wants to benchmark on Simulated Environments (Playground, Office, Warehouse), or asks about evaluating this task. Reports $\mathbf{p}_{e}$ (end-effector stability).

qhjqhj00 Skill

Evaluates the ease of implementation and qualitative complexity of five big-data systems when executing real-world scientific image analytics workloads in astronomy and neuroscience. It probes how well each system handles multidimensional array operations, Python integration, and native support for scientific image formats. Use when the user wants to benchmark on Neuroscience Use Case, Astronomy Use Case, or asks about evaluating this task. Reports Lines of Code (LoC).

qhjqhj00 Skill

Evaluates the reliability of text-to-SQL benchmarks by quantifying annotation error rates and measuring how these errors distort agent execution accuracy and leaderboard rankings. Use when the user wants to benchmark on BIRD, Spider 2.0-Snow, or asks about evaluating this task. Reports annotation error rate.

qhjqhj00 Skill

Evaluates large language models and fine-tuned baselines on multi-label medical text classification for clinical cohort recruitment. It probes the model's ability to extract and predict disease labels from unstructured radiology reports using few-shot prompting and knowledge graph augmentation. Use when the user wants to benchmark on IU-RR, MIMIC-CXR, or asks about evaluating this task. Reports F1-Score (F).

qhjqhj00 Skill

Implement secure coding practices following OWASP Top 10. Use when preventing security vulnerabilities, implementing authentication, securing APIs, or conducting security reviews. Triggers on OWASP, security, XSS, SQL injection, CSRF, authentication security, secure coding, vulnerability.

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All-in-one web toolkit powered by parallel-cli, with a strong emphasis on academic and scientific sources. Use this skill whenever the user needs to search the web, fetch/extract URL content, enrich data with web-sourced fields, or run deep research reports. Covers: web search (fast lookups, research, current info — prioritizing peer-reviewed papers, preprints, and scholarly databases), URL extraction (fetching pages, articles, academic PDFs), bulk data enrichment (adding fields to CSV/lists from the web), and deep research (exhaustive multi-source reports grounded in academic literature). Also handles setup, status checks, and result retrieval. Use this skill for ANY web-related task — even if the user doesn't mention 'parallel' or 'web' explicitly. If they want to look something up, fetch a page, enrich a dataset, investigate a topic, find academic papers, check citations, or review scientific literature, this is the skill to use.

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GPU-accelerate Python code using CuPy, Numba CUDA, Warp, cuDF, cuML, cuGraph, KvikIO, cuCIM, cuxfilter, cuVS, cuSpatial, and RAFT. Use whenever the user mentions GPU/CUDA/NVIDIA acceleration, or wants to speed up NumPy, pandas, scikit-learn, scikit-image, NetworkX, GeoPandas, or Faiss workloads. Covers physics simulation, differentiable rendering, mesh ray casting, particle systems (DEM/SPH/fluids), vector/similarity search, GPUDirect Storage file IO, interactive dashboards, geospatial analysis, medical imaging, and sparse eigensolvers. Also use when you see CPU-bound Python code (loops, large arrays, ML pipelines, graph analytics, image processing) that would benefit from GPU acceleration, even if not explicitly requested.

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Parse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing.

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Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.

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Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.

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Consult this skill when implementing usage logging and audit trails. Use when implementing audit trails, tracking costs, collecting usage analytics, managing session logging. Do not use when simple operations without logging needs.

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This skill covers detecting cyber attacks targeting Supervisory Control and Data Acquisition (SCADA) systems including man-in-the-middle attacks on industrial protocols, unauthorized command injection into PLCs, HMI compromise, historian data manipulation, and denial-of-service against control system communications. It leverages OT-specific intrusion detection systems, industrial protocol anomaly detection, and process data analytics to identify attacks that traditional IT security tools miss.

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Implement User and Entity Behavior Analytics using Elasticsearch/OpenSearch to build behavioral baselines, calculate anomaly scores, perform peer group analysis, and detect insider threat indicators such as data exfiltration, privilege abuse, and unauthorized access patterns.

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Performs User and Entity Behavior Analytics (UEBA) to detect anomalous user activities including impossible travel, unusual access patterns, privilege abuse, and insider threats using SIEM-based behavioral baselines and statistical analysis. Use when SOC teams need to identify compromised accounts or insider threats through deviation from established behavioral norms.

micsapp Skill

Configure and manage - Calculate metric calculator operations. Auto-activating skill for Data Analytics. Triggers on: metric calculator, metric calculator Part of the Data Analytics skill category. Use when working with metric calculator functionality. Trigger with phrases like "metric calculator", "metric calculator", "metric".

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Detecting and exploiting SQL injection vulnerabilities using sqlmap to extract database contents during authorized penetration tests.

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Configure with aggregation helper operations. Auto-activating skill for Data Analytics. Triggers on: aggregation helper, aggregation helper Part of the Data Analytics skill category. Use when working with aggregation helper functionality. Trigger with phrases like "aggregation helper", "aggregation helper", "aggregation".

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Detect and exploit second-order SQL injection vulnerabilities where malicious input is stored in a database and later executed in an unsafe SQL query during a different application operation.

micsapp Skill

Configure with complex join helper operations. Auto-activating skill for Data Analytics. Triggers on: complex join helper, complex join helper Part of the Data Analytics skill category. Use when working with complex join helper functionality. Trigger with phrases like "complex join helper", "complex helper", "complex".

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Performs statistical analysis of Zeek conn.log connection intervals to detect C2 beaconing patterns. Uses the ZAT library to load Zeek logs into Pandas DataFrames, calculates inter-arrival time standard deviation, and flags periodic connections with low jitter. Use when hunting for command-and-control callbacks in network data.

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Generate sql migration generator operations. Auto-activating skill for Backend Development. Triggers on: sql migration generator, sql migration generator Part of the Backend Development skill category. Use when working with sql migration generator functionality. Trigger with phrases like "sql migration generator", "sql generator", "sql".

micsapp Skill

Assist with sql transform helper operations. Auto-activating skill for Data Pipelines. Triggers on: sql transform helper, sql transform helper Part of the Data Pipelines skill category. Use when working with sql transform helper functionality. Trigger with phrases like "sql transform helper", "sql helper", "sql".

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Configure and manage - Calculate retention calculator operations. Auto-activating skill for Data Analytics. Triggers on: retention calculator, retention calculator Part of the Data Analytics skill category. Use when working with retention calculator functionality. Trigger with phrases like "retention calculator", "retention calculator", "retention".

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Parse Apache and Nginx access logs to detect SQL injection attempts, local file inclusion, directory traversal, web scanner fingerprints, and brute-force patterns. Uses regex-based pattern matching against OWASP attack signatures, GeoIP enrichment for source attribution, and statistical anomaly detection for request frequency and response size outliers.

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Build network traffic baselines from NetFlow/IPFIX data using Python pandas for statistical analysis, z-score anomaly detection, and hourly/daily traffic pattern profiling

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Investigates insider threat indicators including data exfiltration attempts, unauthorized access patterns, policy violations, and pre-departure behaviors using SIEM analytics, DLP alerts, and HR data correlation. Use when SOC teams receive insider threat referrals from HR, detect anomalous data movement by employees, or need to build investigation timelines for potential insider threats.

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Investigates insider threat incidents involving employees, contractors, or trusted partners who misuse authorized access to steal data, sabotage systems, or violate security policies. Combines digital forensics, user behavior analytics, and HR/legal coordination to build an evidence-based case. Activates for requests involving insider threat investigation, employee data theft, privilege misuse, user behavior anomaly, or internal threat detection.

micsapp Skill

Configure with churn analysis helper operations. Auto-activating skill for Data Analytics. Triggers on: churn analysis helper, churn analysis helper Part of the Data Analytics skill category. Use when working with churn analysis helper functionality. Trigger with phrases like "churn analysis helper", "churn helper", "churn".

micsapp Skill

Configure with kpi definition helper operations. Auto-activating skill for Data Analytics. Triggers on: kpi definition helper, kpi definition helper Part of the Data Analytics skill category. Use when working with kpi definition helper functionality. Trigger with phrases like "kpi definition helper", "kpi helper", "kpi".