skillrevise

In the author's own words, from each skill's SKILL.md — showing the first 30 of 226 files.

• 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.

  data/skillsbench/tasks/3d-scan-calc/environment/skills/mesh-analysis/SKILL.md on GitHub (opens in a new tab)

• csv-processing

  Use this skill when reading sensor data from CSV files, writing simulation results to CSV, processing time-series data with pandas, or handling missing values in datasets.

  data/skillsbench/tasks/adaptive-cruise-control/environment/skills/csv-processing/SKILL.md on GitHub (opens in a new tab)

• pid-controller

  Use this skill when implementing PID control loops for adaptive cruise control, vehicle speed regulation, throttle/brake management, or any feedback control system requiring proportional-integral-derivative control.

  data/skillsbench/tasks/adaptive-cruise-control/environment/skills/pid-controller/SKILL.md on GitHub (opens in a new tab)

• simulation-metrics

  Use this skill when calculating control system performance metrics such as rise time, overshoot percentage, steady-state error, or settling time for evaluating simulation results.

  data/skillsbench/tasks/adaptive-cruise-control/environment/skills/simulation-metrics/SKILL.md on GitHub (opens in a new tab)

• vehicle-dynamics

  Use this skill when simulating vehicle motion, calculating safe following distances, time-to-collision, speed/position updates, or implementing vehicle state machines for cruise control modes.

  data/skillsbench/tasks/adaptive-cruise-control/environment/skills/vehicle-dynamics/SKILL.md on GitHub (opens in a new tab)

• yaml-config

  Use this skill when reading or writing YAML configuration files, loading vehicle parameters, or handling config file parsing with proper error handling.

  data/skillsbench/tasks/adaptive-cruise-control/environment/skills/yaml-config/SKILL.md on GitHub (opens in a new tab)

• azure-bgp

  Analyze and resolve BGP oscillation and BGP route leaks in Azure Virtual WAN–style hub-and-spoke topologies (and similar cloud-managed BGP environments). Detect preference cycles, identify valley-free violations, and propose allowed policy-level mitigations while rejecting prohibited fixes.

  data/skillsbench/tasks/azure-bgp-oscillation-route-leak/environment/skills/azure-bgp/SKILL.md on GitHub (opens in a new tab)

• geospatial-routing-data

  Geospatial routing data handling for depot and station coordinates, route node IDs, internal index mappings, great-circle distance matrices, and route-distance reconstruction. Use when optimization or reporting tasks involve latitude/longitude, station IDs, depots, distance metrics, vehicle routes, or validating travel distance from reported paths.

  data/skillsbench/tasks/bike-rebalance/environment/skills/geospatial-routing-data/SKILL.md on GitHub (opens in a new tab)

• logistics-rules-to-optimization

  Translate logistics and operations rules into optimization variables and constraints. Use when an operations problem describes vehicles, routes, depots, pickups, dropoffs, inventory, capacity, assignments, time windows, service targets, penalties, resource limits, or other business rules that need to become an optimization model.

  data/skillsbench/tasks/bike-rebalance/environment/skills/logistics-rules-to-optimization/SKILL.md on GitHub (opens in a new tab)

• routing-subtour-elimination

  Subtour-elimination methods for TSP, VRP, pickup/dropoff routing, and routing MIPs with binary arc variables. Use when route-continuity constraints may permit disconnected cycles and the model needs MTZ constraints, flow-based connectivity constraints, DFJ subset cuts, or lazy/iterative subtour cuts.

  data/skillsbench/tasks/bike-rebalance/environment/skills/routing-subtour-elimination/SKILL.md on GitHub (opens in a new tab)

• scip-opt

  SCIP optimization with PySCIPOpt. Use when facing an optimization problem with an objective, hard constraints, soft penalties, integer decisions, routing, assignment, scheduling, allocation, packing, capacity, inventory, or service-level rules. Prefer modeling and solving the problem with PySCIPOpt when it is available.

  data/skillsbench/tasks/bike-rebalance/environment/skills/scip-opt/SKILL.md on GitHub (opens in a new tab)

• citation-management

  Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.

  data/skillsbench/tasks/citation-check/environment/skills/citation-management/SKILL.md on GitHub (opens in a new tab)

• civ6lib

  Civilization 6 district mechanics library. Use when working with district placement validation, adjacency bonus calculations, or understanding Civ6 game rules.

  data/skillsbench/tasks/civ6-adjacency-optimizer/environment/skills/civ6lib/SKILL.md on GitHub (opens in a new tab)

• 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.

  data/skillsbench/tasks/civ6-adjacency-optimizer/environment/skills/hex-grid-spatial/SKILL.md on GitHub (opens in a new tab)

• 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.

  data/skillsbench/tasks/civ6-adjacency-optimizer/environment/skills/map-optimization-strategy/SKILL.md on GitHub (opens in a new tab)

• 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.

  data/skillsbench/tasks/civ6-adjacency-optimizer/environment/skills/sqlite-map-parser/SKILL.md on GitHub (opens in a new tab)

• pdf

  Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.

  data/skillsbench/tasks/court-form-filling/environment/skills/pdf/SKILL.md on GitHub (opens in a new tab)

• pymatgen

  Materials science toolkit. Crystal structures (CIF, POSCAR), phase diagrams, band structure, DOS, Materials Project integration, format conversion, for computational materials science.

  data/skillsbench/tasks/crystallographic-wyckoff-position-analysis/environment/skills/pymatgen/SKILL.md on GitHub (opens in a new tab)

• sympy

  Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable co…

  data/skillsbench/tasks/crystallographic-wyckoff-position-analysis/environment/skills/sympy/SKILL.md on GitHub (opens in a new tab)

• pcap-analysis

  Guidance for analyzing network packet captures (PCAP files) and computing network statistics using Python, with tested utility functions.

  data/skillsbench/tasks/dapt-intrusion-detection/environment/skills/pcap-analysis/SKILL.md on GitHub (opens in a new tab)

• threat-detection

  Exact detection thresholds for identifying malicious network patterns including port scans, DoS attacks, and beaconing behavior.

  data/skillsbench/tasks/dapt-intrusion-detection/environment/skills/threat-detection/SKILL.md on GitHub (opens in a new tab)

• d3js-visualization

  Build deterministic, verifiable data visualizations with D3.js (v6). Generate standalone HTML/SVG (and optional PNG) from local data files without external network dependencies. Use when tasks require charts, plots, axes/scales, legends, tooltips, or data-driven SVG output.

  data/skillsbench/tasks/data-to-d3/environment/skills/d3-visualization/SKILL.md on GitHub (opens in a new tab)

• dialogue-graph

  A library for building, validating, visualizing, and serializing dialogue graphs. Use this when parsing scripts or creating branching narrative structures.

  data/skillsbench/tasks/dialogue-parser/environment/skills/dialogue_graph/SKILL.md on GitHub (opens in a new tab)

• dyn-object-masks

  Generate dynamic-object binary masks after global motion compensation, output CSR sparse format.

  data/skillsbench/tasks/dynamic-object-aware-egomotion/environment/skills/dyn-object-masks/SKILL.md on GitHub (opens in a new tab)

• egomotion-estimation

  Estimate camera motion with optical flow + affine/homography, allow multi-label per frame.

  data/skillsbench/tasks/dynamic-object-aware-egomotion/environment/skills/egomotion-estimation/SKILL.md on GitHub (opens in a new tab)

• output-validation

  Local self-check of instructions and mask outputs (format/range/consistency) without using GT.

  data/skillsbench/tasks/dynamic-object-aware-egomotion/environment/skills/output-validation/SKILL.md on GitHub (opens in a new tab)

• sampling-and-indexing

  Standardize video sampling and frame indexing so interval instructions and mask frames stay aligned with a valid key/index scheme.

  data/skillsbench/tasks/dynamic-object-aware-egomotion/environment/skills/sampling-and-indexing/SKILL.md on GitHub (opens in a new tab)

• gamma-phase-associator

  An overview of the python package for running the GaMMA earthquake phase association algorithm. The algorithm expects phase picks data and station data as input and produces (through unsupervised clustering) earthquake events with source information like earthquake location, origin time and magnitude. The skill explains commonly used functions and the expected input/output format.

  data/skillsbench/tasks/earthquake-phase-association/environment/skills/gamma-phase-associator/SKILL.md on GitHub (opens in a new tab)

• obspy-data-api

  An overview of the core data API of ObsPy, a Python framework for processing seismological data. It is useful for parsing common seismological file formats, or manipulating custom data into standard objects for downstream use cases such as ObsPy's signal processing routines or SeisBench's modeling API.

  data/skillsbench/tasks/earthquake-phase-association/environment/skills/obspy-data-api/SKILL.md on GitHub (opens in a new tab)

• seisbench-model-api

  An overview of the core model API of SeisBench, a Python framework for training and applying machine learning algorithms to seismic data. It is useful for annotating waveforms using pretrained SOTA ML models, for tasks like phase picking, earthquake detection, waveform denoising and depth estimation. For any waveform, you can manipulate it into an obspy stream object and it will work seamlessly w…

  data/skillsbench/tasks/earthquake-phase-association/environment/skills/seisbench-model-api/SKILL.md on GitHub (opens in a new tab)

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