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Found 1,660 Skills
Configure CI/CD pipelines, Docker containers, and cloud deployments. Handles GitHub Actions, Kubernetes, and infrastructure automation. Use PROACTIVELY when setting up deployments, containers, or CI/CD workflows.
Use this skill when building real-time or near-real-time data pipelines. Covers Kafka, Flink, Spark Streaming, Snowpipe, BigQuery streaming, materialized views, and batch-vs-streaming decisions. Common phrases: "real-time pipeline", "Kafka consumer", "streaming vs batch", "low latency ingestion". Do NOT use for batch integration patterns (use integration-patterns-skill) or pipeline orchestration (use data-orchestration-skill).
Helps write SDSL shaders for Stride and vvvv gamma — TextureFX, shader mixins, compute shaders, and ShaderFX composition. Use when writing or debugging .sdsl shader files, creating visual effects, working with the Stride rendering pipeline, or composing shader mixins.
Build and run LLM-as-judge evaluation pipelines using Amazon Bedrock Evaluation Jobs with pre-computed inference datasets. Use when setting up automated model evaluation, designing test scenarios, collecting pre-computed responses, configuring custom metrics, creating AWS infrastructure, running evaluation jobs, parsing results, and iterating on findings.
Configure Vercel CI/CD integration with GitHub Actions and testing. Use when setting up automated testing, configuring CI pipelines, or integrating Vercel tests into your build process. Trigger with phrases like "vercel CI", "vercel GitHub Actions", "vercel automated tests", "CI vercel".
Configure Ideogram CI/CD integration with GitHub Actions and testing. Use when setting up automated testing, configuring CI pipelines, or integrating Ideogram tests into your build process. Trigger with phrases like "ideogram CI", "ideogram GitHub Actions", "ideogram automated tests", "CI ideogram".
Best practices for developing, deploying, and debugging Supabase Edge Functions (Deno runtime). Use when working with Edge Functions for tasks like ingest pipelines, webhooks, scheduled jobs, or database triggers. Covers authentication patterns (service role vs anon key), error debugging, database integration, and common pitfalls.
Full feature pipeline — pre-flight checks, TDD cycle, scope guard, quality commit. Combines pre-flight + tdd + scope-check + quality-commit into one flow. Use when implementing a feature, adding an endpoint, or building any non-trivial code change.
AI and machine learning development with PyTorch, TensorFlow, and LLM integration. Use when building ML models, training pipelines, fine-tuning LLMs, or implementing AI features.
Create optimized prompts for Claude-to-Claude pipelines with research, planning, and execution stages. Use when building prompts that produce outputs for other prompts to consume, or when running multi-stage workflows (research -> plan -> implement).
Data Catalog Updater - Auto-activating skill for Data Pipelines. Triggers on: data catalog updater, data catalog updater Part of the Data Pipelines skill category.
Deploy PostHog integrations to Vercel, Fly.io, and Cloud Run platforms. Use when deploying PostHog-powered applications to production, configuring platform-specific secrets, or setting up deployment pipelines. Trigger with phrases like "deploy posthog", "posthog Vercel", "posthog production deploy", "posthog Cloud Run", "posthog Fly.io".