ml-experimentation
Conduct machine learning experiments from planning through evaluation and report writing. Use when running ML experiments, testing hypotheses, training models,…
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 10-30 00:12
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Conduct machine learning experiments from planning through evaluation and report writing. Use when running ML experiments, testing hypotheses, training models,…
Use the relative ratio of 'silver mining stock prices ÷ silver prices' to measure the valuation range of the mining stock sector relative to the metal itself (expensive/cheap), and use historical percentiles and analog ranges to derive 'bottom/top' signals and scenario projections.
Consulta cotizaciones Pix en ComparaPix para comparar apps por simbolo y precio. Usar cuando el usuario pida cotizacion pix, mejor app para pagar con pix,…
Run a quick Deepline demo recipe to show the user how Deepline works.
Configure PayKit server and client, set up database connections, manage customer identification, handle events, configure logging, and use testing mode. Use…
Use these skills when you need to handle large-scale data exploration and dataset management. Use when users need to find data assets or run SQL at scale.…
Structure prediction using OpenFold3, an open-weights PyTorch reproduction of AlphaFold3 from the AlQuraishi Lab. Use this skill when predicting…
Embed and annotate single-cell expression data with scGPT, a foundation model for single-cell biology. Use this skill when: (1) Producing cell embeddings from…
Read and write Google Sheets. Use when the user asks to read spreadsheet data, update cells, create sheets, or work with Google Sheets.
How to correctly access the Doltgres manage database with branch-scoped connections. Use when reading or writing manage data (agents, tools, projects,…
Migrate to Clay from other enrichment tools or consolidate multiple data sources into Clay. Use when migrating from ZoomInfo, Apollo, Clearbit, or custom…
Migrate a legacy web-search integration to Exa through semantic, filter, freshness, relevance, cost, and rollback comparisons. Use when operating or reviewing…
Validate, minimize, classify, deduplicate, retain, and dispose of Firecrawl documents and extracted JSON safely. Use when building downstream storage, RAG, or…
Create the smallest current Firecrawl v2 scrape and verify its provenance, origin status, and output without leaking credentials. Use when testing a new…
Run the smallest current Fireflies GraphQL query and verify identity, response structure, and data-minimization controls without dumping transcripts. Use when…
Manage Granola data export, retention policies, GDPR/CCPA compliance, and archival workflows. Handle Subject Access Requests and Right to Erasure. Trigger:…
Monitor Granola adoption, meeting analytics, and build custom dashboards. Use when tracking team meeting patterns, measuring adoption, building analytics…
Gate an Instantly integration release across identity, scopes, data, limits, operations, and rollback. Use when reviewing a production launch or material…
Process split datasets into training, validation, and testing sets for ML model development. Use when requesting "split dataset", "train-test split", or "data…
Drizzle ORM reference for PostgreSQL — schema definition, typesafe queries, relations, and migrations with drizzle-kit. Use when: (1) defining pgTable schemas…
PostgreSQL 16+ reference for writing queries, designing schemas, managing indexes, and optimizing performance. Use when: (1) writing SQL queries (SELECT,…
When the user needs to infer internal hidden states from externally observable signals; when there is a need to "see the essence from the appearance"; when direct observation is not feasible and inference must be made through indirect indicators. Not applicable to: scenarios where the interior can be directly observed, pure data queries, scenarios that do not require inference.
When the user needs to assess the balance of power between "one's own capabilities vs. external pressure" in a system; When facing a scenario that requires determining whether to "strengthen oneself" or "eliminate obstacles"; When a problem recurs and it needs to be determined whether it is due to insufficient capability or excessive burden; When the user is torn between "should I strengthen or should I streamline". Not applicable to: scenarios that can be directly assessed with quantifiable data (such as financial statement analysis); purely objective technical scenarios where measurement alone can lead to a conclusion.
Create effective data visualizations using best practices for clarity, accuracy, and visual communication of insights