xuansenpa1/skillrevise

Official release for SkillRevise: trace-conditioned revision of LLM-authored agent skills

56Stars on the repository
186Mods indexed here, across every type
6d agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

xuansenpa1/skillrevise

Skill Claude CodeCodex

World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, real-time streaming, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, Flink, Kinesis, and modern data stack. Includes data modeling, pipeline orchestration, data quality, streaming quality…

not rated 56 +1 6d ago A 100 tokens copy · 98% MIT

flood-detection

74

xuansenpa1/skillrevise

Skill Claude CodeCodex

Detect flood events by comparing water levels to thresholds. Use when determining if flooding occurred, counting flood days, aggregating instantaneous data to daily values, or classifying flood severity.

not rated 56 +1 6d ago A 40 tokens copy · 100% MIT

xuansenpa1/skillrevise

Skill Claude CodeCodex

Download flood stage thresholds from NWS (National Weather Service). Use when determining flood levels for USGS stations, accessing action/minor/moderate/major flood stages, or matching stations to their flood thresholds.

not rated 56 +1 6d ago A 50 tokens copy · 100% MIT

usgs-data-download

76

xuansenpa1/skillrevise

Skill Claude CodeCodex

Download water level data from USGS using the dataretrieval package. Use when accessing real-time or historical streamflow data, downloading gage height or discharge measurements, or working with USGS station IDs.

not rated 56 +1 6d ago A 46 tokens copy · 100% MIT

glm-basics

77

xuansenpa1/skillrevise

Skill Claude CodeCodex

Basic usage of the General Lake Model (GLM) for lake temperature simulation. Use when you need to run GLM, understand input files, or modify configuration parameters.

not rated 56 +1 6d ago A 38 tokens copy · 100% MIT

glm-calibration

78

xuansenpa1/skillrevise

Skill Claude CodeCodex

Calibrate GLM parameters for water temperature simulation. Use when you need to adjust model parameters to minimize RMSE between simulated and observed temperatures.

not rated 56 +1 6d ago A 32 tokens copy · 100% MIT

glm-output

79

xuansenpa1/skillrevise

Skill Claude CodeCodex

Read and process GLM output files. Use when you need to extract temperature data from NetCDF output, convert depth coordinates, or calculate RMSE against observations.

not rated 56 +1 6d ago A 35 tokens copy · 100% MIT

conditioning

80

xuansenpa1/skillrevise

Skill Claude CodeCodex

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.

not rated 56 +1 6d ago A 52 tokens copy · 100% MIT

matched-filtering

81

xuansenpa1/skillrevise

Skill Claude CodeCodex

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.

not rated 56 +1 6d ago A 46 tokens copy · 100% MIT

xuansenpa1/skillrevise

Skill Claude CodeCodex

Design effective excitation signals (step tests) for system identification and parameter estimation in control systems.

not rated 56 +1 6d ago A 24 tokens copy · 100% MIT

xuansenpa1/skillrevise

Skill Claude CodeCodex

Fit first-order dynamic models to experimental step response data and extract K (gain) and tau (time constant) parameters.

not rated 56 +1 6d ago A 29 tokens copy · 100% MIT

imc-tuning-rules

84

xuansenpa1/skillrevise

Skill Claude CodeCodex

Calculate PI/PID controller gains using Internal Model Control (IMC) tuning rules for first-order systems.

not rated 56 +1 6d ago A 28 tokens copy · 100% MIT

safety-interlocks

85

xuansenpa1/skillrevise

Skill Claude CodeCodex

Implement safety interlocks and protective mechanisms to prevent equipment damage and ensure safe control system operation.

not rated 56 +1 6d ago A 23 tokens copy · 100% MIT

scipy-curve-fit

86

xuansenpa1/skillrevise

Skill Claude CodeCodex

Use scipy.optimize.curvefit for nonlinear least squares parameter estimation from experimental data.

not rated 56 +1 6d ago A 22 tokens copy · 100% MIT

fuzzy-match

87

xuansenpa1/skillrevise

Skill Claude CodeCodex

A toolkit for fuzzy string matching and data reconciliation. Useful for matching entity names (companies, people) across different datasets where spelling variations, typos, or formatting differences exist.

not rated 56 +1 6d ago A 39 tokens copy · 100% MIT

jax-skills

88

xuansenpa1/skillrevise

Skill Claude CodeCodex

High-performance numerical computing and machine learning workflows using JAX. Supports array operations, automatic differentiation, JIT compilation, RNN-style scans, map/reduce operations, and gradient computations. Ideal for scientific computing, ML models, and dynamic array transformations.

not rated 56 +1 6d ago A 54 tokens copy · 100% MIT

image-ocr

89

xuansenpa1/skillrevise

Skill Claude CodeCodex

Extract text content from images using Tesseract OCR via Python.

not rated 56 +1 6d ago A 16 tokens copy · 100% MIT

openai-vision

90

xuansenpa1/skillrevise

Skill Claude CodeCodex

Analyze images and multi-frame sequences using OpenAI GPT vision models.

not rated 56 +1 6d ago A 17 tokens copy · 100% MIT

xuansenpa1/skillrevise

Skill Claude CodeCodex

Comprehensive clinical laboratory data harmonization for multi-source healthcare analytics. Convert between US conventional and SI units, standardize numeric formats, and clean data quality issues. This skill should be used when you need to harmonize lab values from different sources, convert units for clinical…

not rated 56 +1 6d ago A 82 tokens copy · 100% MIT

xuansenpa1/skillrevise

Skill Claude CodeCodex

Calculate the relative contribution of different factors to a response variable using R² decomposition. Use when you need to quantify how much each factor explains the variance of an outcome.

not rated 56 +1 6d ago A 37 tokens copy · 100% MIT

xuansenpa1/skillrevise

Skill Claude CodeCodex

Classify environmental and meteorological variables into driver categories for attribution analysis. Use when you need to group multiple variables into meaningful factor categories.

not rated 56 +1 6d ago A 33 tokens copy · 100% MIT

pca-decomposition

95

xuansenpa1/skillrevise

Skill Claude CodeCodex

Reduce dimensionality of multivariate data using PCA with varimax rotation. Use when you have many correlated variables and need to identify underlying factors or reduce collinearity.

not rated 56 +1 6d ago A 38 tokens copy · 100% MIT

trend-analysis

96

xuansenpa1/skillrevise

Skill Claude CodeCodex

Detect long-term trends in time series data using parametric and non-parametric methods. Use when determining if a variable shows statistically significant increase or decrease over time.

not rated 56 +1 6d ago A 35 tokens copy · 100% MIT

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