Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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dc-power-flow
DC power flow analysis for power systems. Use when computing power flows using DC approximation, building susceptance matrices, calculating line flows and loading percentages, or performing sensitivity analysis on transmission networks.
benchflow-ai/skillsbench 897
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power-flow-data
Power system network data formats and topology. Use when parsing bus, generator, and branch data for power flow analysis.
benchflow-ai/skillsbench 897
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fjsp-baseline-repair-with-downtime-and-policy
This skill should be considered when you need to repair an infeasible or non-optimal flexible job scheduling planning schedule into a downtime-feasible, precedence-feasible one while keep no worse policy budget.
benchflow-ai/skillsbench 897
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civ6lib
Civilization 6 district mechanics library. Use when working with district placement validation, adjacency bonus calculations, or understanding Civ6 game rules.
benchflow-ai/skillsbench 897
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hex-grid-spatial
Hex grid spatial utilities for offset coordinate systems. Use when working with hexagonal grids, calculating distances, finding neighbors, or spatial queries on hex maps.
benchflow-ai/skillsbench 897
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sqlite-map-parser
Parse SQLite databases into structured JSON data. Use when exploring unknown database schemas, understanding table relationships, and extracting map data as JSON.
benchflow-ai/skillsbench 897
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map-optimization-strategy
Strategy for solving constraint optimization problems on spatial maps. Use when you need to place items on a grid/map to maximize some objective while satisfying constraints.
benchflow-ai/skillsbench 897
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time_series_anomaly_detection
Detect anomalies in time series data using Prophet Framework (Meta), which frames the seasonality, trend holiday effect and other needed regressors into its model, to identify unusual surges or slumps in trends. This is a general methodology analyst can use for understanding what changes of their tracking metrics are manifesting anomalies pattern.
benchflow-ai/skillsbench 897
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did_causal_analysis
Difference-in-Differences causal analysis to identify demographic drivers of behavioral changes with p-value significance testing. Use for event effects, A/B testing, or policy evaluation.
benchflow-ai/skillsbench 897
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feature_engineering
Engineer dataset features before ML or Causal Inference. Methods include encoding categorical variables, scaling numerics, creating interactions, and selecting relevant features.
benchflow-ai/skillsbench 897
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data_cleaning
Clean messy tabular datasets with deduplication, missing value imputation, outlier handling, and text processing. Use when dealing with dirty data that has duplicates, nulls, or inconsistent formatting.
benchflow-ai/skillsbench 897
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xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
benchflow-ai/skillsbench 897
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conditioning
Data conditioning techniques for gravitational wave detector data. Use when preprocessing raw detector strain data before matched filtering, including high-pass filtering, resampling, removing filter wraparound artifacts, and estimating power spectral density (PSD). Works with PyCBC TimeSeries data.
benchflow-ai/skillsbench 897
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matched-filtering
Matched filtering techniques for gravitational wave detection. Use when searching for signals in detector data using template waveforms, including both time-domain and frequency-domain approaches. Works with PyCBC for generating templates and performing matched filtering.
benchflow-ai/skillsbench 897
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economic-dispatch
Generator economic dispatch and cost optimization for power systems. Use when minimizing generation costs, computing optimal generator setpoints, calculating operating margins, or working with generator cost functions.
benchflow-ai/skillsbench 897
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dc-power-flow
DC power flow analysis for power systems. Use when computing power flows using DC approximation, building susceptance matrices, calculating line flows and loading percentages, or performing sensitivity analysis on transmission networks.
benchflow-ai/skillsbench 897
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power-flow-data
Power system network data formats and topology. Use when parsing bus, generator, and branch data for power flow analysis.
benchflow-ai/skillsbench 897
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cvss-score-extraction
Extract CVSS (Common Vulnerability Scoring System) scores from vulnerability data sources with proper fallback handling. This skill covers understanding CVSS v3, handling multiple score sources (NVD, GHSA, RedHat), implementing source priority logic, and dealing with missing scores in security reporting.
benchflow-ai/skillsbench 897
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vulnerability-csv-reporting
Generate structured CSV security audit reports from vulnerability data with proper filtering and formatting. This skill covers CSV schema design for security reports, using Python csv.DictWriter, severity-based filtering, and field mapping from JSON to tabular format.
benchflow-ai/skillsbench 897
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trivy-offline-vulnerability-scanning
Use Trivy vulnerability scanner in offline mode to discover security vulnerabilities in dependency files. This skill covers setting up offline scanning, executing Trivy against package lock files, and generating JSON vulnerability reports without requiring internet access.
benchflow-ai/skillsbench 897
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mesh-analysis
Analyzes 3D mesh files (STL) to calculate geometric properties (volume, components) and extract attribute data. Use this skill to process noisy 3D scan data and filter debris.
benchflow-ai/skillsbench 897
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geospatial-analysis
Analyze geospatial data using geopandas with proper coordinate projections. Use when calculating distances between geographic features, performing spatial filtering, or working with plate boundaries and earthquake data.
benchflow-ai/skillsbench 897
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threat-detection
Exact detection thresholds for identifying malicious network patterns including port scans, DoS attacks, and beaconing behavior.
benchflow-ai/skillsbench 897
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pcap-analysis
Guidance for analyzing network packet captures (PCAP files) and computing network statistics using Python, with tested utility functions.
benchflow-ai/skillsbench 897