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Skills harvested from GitHub repositories
14810 skills availabledeepgram-local-dev-loop
Set up a fast local development workflow for Deepgram: test fixtures with sample audio, mock responses for offline unit ...
deepgram-deploy-integration
Deploy Deepgram transcription services to Docker, Kubernetes, AWS Lambda, and Google Cloud Run. Includes production Dock...
deepgram-debug-bundle
!node --version 2>/dev/null || echo 'Node.js not installed' !npm list @deepgram/sdk 2>/dev/null | grep deepgram || echo ...
deepgram-data-handling
Best practices for handling audio and transcript data with Deepgram. Covers Deepgram's built-in redact parameter for PII...
deepgram-cost-tuning
Optimize Deepgram API costs through smart model selection, audio preprocessing to reduce billable minutes, usage monitor...
deepgram-common-errors
Comprehensive error reference for Deepgram API integration. Covers HTTP error codes, WebSocket errors, transcription qua...
deepgram-ci-integration
Set up CI/CD pipelines for Deepgram integrations with GitHub Actions. Includes unit tests with mocked SDK, integration t...
databricks-sdk-patterns
Production-ready patterns for the Databricks Python SDK (databricks-sdk). Covers singleton client initialization, typed ...
databricks-observability
Monitor Databricks jobs, clusters, SQL warehouses, and costs using system tables in the system catalog. System tables pr...
databricks-multi-env-setup
Configure Databricks across dev, staging, and production with isolated workspaces (or catalog-level isolation), per-envi...
databricks-migration-deep-dive
Comprehensive migration strategies for moving to Databricks from Hadoop, Snowflake, Redshift, Synapse, or legacy data wa...
databricks-install-auth
Set up Databricks CLI v2, Python SDK, and authentication. Covers Personal Access Tokens (legacy), OAuth U2M (interactive...
databricks-incident-runbook
Rapid incident response for Databricks: triage script, decision tree, immediate actions by error type, communication tem...
databricks-hello-world
Create your first Databricks cluster and notebook via the REST API and Python SDK. Covers single-node dev clusters, SQL ...
databricks-enterprise-rbac
Implement enterprise access control using Unity Catalog privileges, SCIM-provisioned groups, workspace entitlements, clu...
databricks-core-workflow-b
Full ML lifecycle on Databricks: Feature Engineering Client for discoverable features, MLflow experiment tracking with a...
databricks-common-errors
Quick-reference diagnostic guide for the most frequent Databricks errors. Covers cluster failures, Spark OOM, Delta Lake...
databricks-ci-integration
Automate Databricks deployments with Declarative Automation Bundles (DABs) and GitHub Actions. Covers bundle validation,...
cohere-webhooks-events
Handle Cohere's streaming chat events (SSE), tool-call events, citation events, and register data connectors for RAG. Co...
cohere-sdk-patterns
Production-ready patterns for the cohere-ai TypeScript SDK (CohereClientV2) and Python cohere package. Real model names,...
cohere-security-basics
Security best practices for Cohere API keys, request validation, and data protection. Cohere uses bearer token auth with...
cohere-reference-architecture
Production-ready architecture for Cohere API v2 applications covering RAG pipelines, tool-use agents, and multi-model or...
cohere-performance-tuning
Optimize Cohere API v2 performance through model selection, embedding batches, rerank pipelines, caching, and streaming ...
cohere-rate-limits
Handle Cohere rate limits with exponential backoff, request queuing, and proactive throttling. Real rate limits from Coh...