A spec-and-scaffold skill for building composable recommendation, ranking, and feed pipelines. Encodes the six-stage pattern popularized by xAI's open-sourced For You algorithm (Apache 2.0) and applies it to any "top K for (user, context)" problem. Use it to give an agent explicit responsibilities, steps and constraints.
Complete end-to-end MLOps pipeline orchestration from data preparation through model deployment. Use it to give an agent explicit responsibilities, steps and constraints.
This workflow orchestrates multiple specialized agents to build a production-ready ML pipeline following modern MLOps best practices. The approach emphasizes:. Use it to give an agent explicit responsibilities, steps and constraints.
Turborepo Caching captures reusable agent playbook guidance for testing & documentation. Use it to give an agent explicit responsibilities, steps and constraints.
You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing. Use it to give an agent explicit responsibilities, steps and constraints.
1. Source - Code checkout, dependency graph resolution 2. Build - Compile, package, containerize, sign artifacts 3. Test - Unit, integration, SAST/SCA security scans 4. Staging Deploy - Deploy to staging environment with smoke tests 5. Integration Tests - E2E,. Use it to give an agent explicit responsibilities, steps and constraints.
Extended configurations, platform-specific patterns, and advanced rollback strategies. Core patterns and decision tables live in ./SKILL.md. Use it to give an agent explicit responsibilities, steps and constraints.
14B Real-Time Long Video Generation Model can be Cheaper, Faster but Keep Stronger than 1.3B ones ⭐. Use it to navigate the topic and choose relevant methods, papers or tools.
A spec-and-scaffold skill for building composable recommendation, ranking, and feed pipelines. Encodes the six-stage pattern popularized by xAI's open-sourced For You algorithm (Apache 2.0) and applies it to any "top K for (user, context)" problem. Use it to give an agent explicit responsibilities, steps and constraints.
Complete end-to-end MLOps pipeline orchestration from data preparation through model deployment. Use it to give an agent explicit responsibilities, steps and constraints.
This workflow orchestrates multiple specialized agents to build a production-ready ML pipeline following modern MLOps best practices. The approach emphasizes:. Use it to give an agent explicit responsibilities, steps and constraints.
Turborepo Caching captures reusable agent playbook guidance for testing & documentation. Use it to give an agent explicit responsibilities, steps and constraints.
You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing. Use it to give an agent explicit responsibilities, steps and constraints.
1. Source - Code checkout, dependency graph resolution 2. Build - Compile, package, containerize, sign artifacts 3. Test - Unit, integration, SAST/SCA security scans 4. Staging Deploy - Deploy to staging environment with smoke tests 5. Integration Tests - E2E,. Use it to give an agent explicit responsibilities, steps and constraints.
Extended configurations, platform-specific patterns, and advanced rollback strategies. Core patterns and decision tables live in ./SKILL.md. Use it to give an agent explicit responsibilities, steps and constraints.
14B Real-Time Long Video Generation Model can be Cheaper, Faster but Keep Stronger than 1.3B ones ⭐. Use it to navigate the topic and choose relevant methods, papers or tools.