prediction-markets-dome
Prediction markets data - Polymarket, Kalshi markets, prices, positions, and trades
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 10-28 00:17
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Prediction markets data - Polymarket, Kalshi markets, prices, positions, and trades
Provides the classification and definitions of abnormal states in software (Error, Defect, Fault, Failure). Based on multiple standards such as JIS standards, JSTQB, and Bertrand Meyer, it clarifies the differences between each concept and supports decisions on appropriate error design and failure countermeasures. Error design, failure analysis, code review, ...
Use when exploring unknown structured data files with dasel v3 — discover schema, list keys, find nested values, sample arrays, identify data types across…
Use when modifying, converting, or transforming structured data with dasel v3 — in-place mutations, format conversion, batch operations, array manipulation,…
Create a minimal working Apollo.io example. Use when starting a new Apollo integration, testing your setup, or learning basic Apollo API patterns. Trigger with…
Configure with churn analysis helper operations. Auto-activating skill for Data Analytics. Triggers on: churn analysis helper, churn analysis helper Part of…
Process data catalog updater operations. Auto-activating skill for Data Pipelines. Triggers on: data catalog updater, data catalog updater Part of the Data…
Process data partitioner operations. Auto-activating skill for Data Pipelines. Triggers on: data partitioner, data partitioner Part of the Data Pipelines skill…
Process use when you need to track database changes for compliance and security monitoring. This skill implements audit logging using triggers,…
Process use when you need to implement multi-tier caching to improve database performance. This skill sets up Redis, in-memory caching, and CDN layers to…
Analyze datasets by running clustering algorithms (K-means, DBSCAN, hierarchical) to identify data groups. Use when requesting "run clustering", "cluster…
Generate tensorboard visualizer operations. Auto-activating skill for ML Training. Triggers on: tensorboard visualizer, tensorboard visualizer Part of the ML…
Manage time series decomposer operations. Auto-activating skill for Data Analytics. Triggers on: time series decomposer, time series decomposer Part of the…
Optimize machine learning model hyperparameters using grid search, random search, or Bayesian optimization. Finds best parameter configurations to maximize…
Wraps RDKit through the datamol Python library (import datamol as dm) for molecular cheminformatics, returning native rdkit.Chem.Mol objects. Covers…
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive…
Filters and triages small-molecule libraries with the Python medchem library (datamol-io, v2.0.5) on top of RDKit and datamol. Covers drug-likeness rules…
Converts SMILES strings or RDKit/datamol molecules into numerical features using molfeat (0.11.0), which provides calculators, scikit-learn compatible…
Pharmacokinetic and pharmacodynamic modelling and simulation - non-compartmental analysis, compartmental and population PK, PK/PD and exposure-response, TMDD,…
Guides use of RDKit (Python) for reading and writing SMILES, MOL/SDF, and InChI, computing descriptors (MW, LogP, TPSA), generating Morgan/MACCS/atom-pair…
Complete guide to integrating AutoFixture with xUnit. Use when you need to use AutoData or InlineAutoData to simplify test data preparation for xUnit parameterized tests. Covers custom Customization and test data attributes to improve test readability and maintainability. Make sure to use this skill whenever…
Copy metadata (segments, schema, flows, jobs, connections, auth) and account-level configuration (settings, per-table idconfig, field rankings) between Lytics…
Orchestrate a disciplined earnings-event workflow by deciding which names deserve prep, mapping the key debates and read-through paths, pressure-testing the…
Review a watchlist and rank which names deserve active attention, background monitoring, or removal based on catalysts, tradability, redundancy, and evidence…