medchem
Medicinal chemistry filters. Apply drug-likeness rules (Lipinski, Veber), PAINS filters, structural alerts, complexity metrics, for compound prioritization and…
Skills
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 10-28 00:17
Data & analytics
17,042 results
opentargets-database
Query Open Targets Platform for target-disease associations, drug target discovery, tractability/safety data, genetics/omics evidence, known drugs, for…
pytorch-lightning
Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines,…
vaex
Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame…
depmap-crispr-essentiality
DepMap CRISPR gene effect (Chronos) analysis: sign convention for essentiality, per-gene NaN-safe Spearman correlation, data loading/alignment. For general…
aggregating-performance-metrics
Aggregate and centralize performance metrics from applications, systems, databases, caches, and services. Use when consolidating monitoring data from multiple…
analyzing-nft-rarity
Calculate NFT rarity scores and rank tokens by trait uniqueness. Use when analyzing NFT collections, checking token rarity, or comparing NFTs. Trigger with…
chart-type-recommender
Manage chart type recommender operations. Auto-activating skill for Data Analytics. Triggers on: chart type recommender, chart type recommender Part of the…
feature-engineering-helper
Configure with feature engineering helper operations. Auto-activating skill for ML Training. Triggers on: feature engineering helper, feature engineering…
model-evaluation-metrics
Build model evaluation metrics operations. Auto-activating skill for ML Training. Triggers on: model evaluation metrics, model evaluation metrics Part of the…
optimizing-sql-queries
Execute use when you need to work with query optimization. This skill provides query performance analysis with comprehensive guidance and automation. Trigger…
sklearn-pipeline-builder
Build sklearn pipeline builder operations. Auto-activating skill for ML Training. Triggers on: sklearn pipeline builder, sklearn pipeline builder Part of the…
visualization-best-practices
Manage visualization best practices operations. Auto-activating skill for Data Analytics. Triggers on: visualization best practices, visualization best…
pymatgen
Analyzes, validates, converts, and transforms crystal structures and molecules with pymatgen. It covers CIF/POSCAR/XYZ/JSON conversion, symmetry-tolerance…
shijian-renshilun
This skill is activated when users fall into "analysis paralysis" (wanting to act but not daring to) or "blind action" (acting but not summarizing or improving). Typical trigger signals: "I need to finish my research before I can start," "I don't know if I understand this industry well enough to start a business," "We've been doing this all along but have no methodology." Scenarios where it is not invoked: scenarios where a mature methodology already exists and is operating effectively, and purely theoretical learning needs. Difference from the "seek truth from facts information processing method": this skill focuses on com...
shishiqiushi-sigao
Activated when users face a large amount of disorganized information (user feedback, competitor data, market reports, internal metrics) and need to extract decision signals from it. Typical trigger signals: "there's too much data and I don't know which to trust", "users are saying all sorts of things", "I've received a pile of feedback but don't know what the conclusion is". Scenarios where it is not invoked: the information is already structured and clear, and only a simple judgment is needed; or there is no information at all and a decision must be made by intuition. Difference from the "investigation and research method": this skill is information processing (…
data-pipeline
Wire ETL, ingestion, cron, and queue jobs with idempotency, atomic writes, data contracts, and dead-letters. Use for "build a pipeline", "sync X into Y", "cron…
dotnet-testing-bogus-fake-data
Specialized skill for generating fake data using Bogus. Use when realistic-looking test data such as names, addresses, phone numbers, emails, company information, etc. is needed. Covers the Faker class, multi-language support, custom rules, bulk data generation, etc. Make sure to use this skill whenever the user mentions Bogus, Faker,…
us-stock-analysis
Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart…
dual-write
Dual write (double write) migration pattern for safely transitioning between data stores. Use when planning or implementing database migrations, switching…
multi-source-data-merger
This skill provides guidance for merging data from multiple heterogeneous sources (JSON, CSV, Parquet, XML, etc.) into a unified dataset. Use this skill when…
query-optimize
Guidance for SQL query optimization tasks. This skill should be used when optimizing slow SQL queries, improving database performance, or rewriting queries to…
ln-76-architecture-migration-planner
Plans an architecture transition with compatibility, data movement, rollout, and rollback. Not for migration execution or generic task planning.
ln-812-query-optimizer
Fixes N+1 queries, redundant fetches, over-fetching with keep/discard verification